华为云BU杂志_第三期

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华为云BU杂志_第三期

CommentThe major revenue category of new Internet services for operators has shifted from traffic to data in the Cloud 2.0 era in which enterprises everywhere are making the move to the cloud. This move entails AI and big data capabilities in the application mix, which has brought about changes in technologies and system architecture. Applications running in the new layout require distributed computing and storage, high levels of elasticity, and largely automated processes, which were not as evi... [收起]
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华为云BU杂志_第三期
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Comment

The major revenue category of new Internet services for operators has shifted from traffic to data in the Cloud 2.0 era

in which enterprises everywhere are making the move to the cloud. This move entails AI and big data capabilities in the

application mix, which has brought about changes in technologies and system architecture. Applications running in

the new layout require distributed computing and storage, high levels of elasticity, and largely automated processes,

which were not as evident in Cloud 1.0. Reliability and security top the concerns in selection of a cloud service provider

for organizations running key applications on the cloud. Cloud service providers need to deliver on both fronts while

finding ways to accelerate the digitalization process if they hope to have any kind of success in the Cloud 2.0 era.

HUAWEI CLOUD: The Culmination of

30 Years of Technological Accumulation and

Continuous Innovation

— Accelerating Enterprise Digital Transformation

Bruno Zhang – CTO of Huawei Cloud BU

Benefiting from the more than 30 years of technology accumulation of the

parent company, HUAWEI CLOUD is best positioned to help organizations

in their transformations. The cloud service brand has inherited the three

precepts of Huawei's R&D system: remaining focused in innovation

efforts, confident investment into the future, and customer centricity as

the guiding point from start to finish. Huawei goes much farther than just

trying to build an architecture to suit this and that need, it adopts more

of a \"top layer\" approach — a global approach in tech able to lay on top

of any profile — then drills down into specificity with vertical integrations

in software and hardware systems while accumulating what is necessary

to make breakthroughs in specific applications along the way. Huawei

continues to spare no effort in building up the basic technology layers

because even the smallest of improvements contribute to the innovations

for the future. This commitment further solidifies Huawei's longevity

with its innovations in the tech able to fully satisfy the profile - specific

requirements of customers.

Hardware capabilities are largely determined by the architectural design in addition to the processing speeds of the

chips. In the past, Huawei catered to the needs of carriers by focusing on large network builds and core algorithms.

This expertise has contributed to Huawei's success in cloud with the end - to - end enhancements available with

the ability to home grow data center infrastructures, chips, software, and many of the other elements that go into

the mashups. No other vendor can make this claim. HUAWEI CLOUD is continuously innovating in everything that

goes into making the cloud service offerings the best. Everything from software, hardware, data center management,

basic cloud services, and application development platforms (including deployment and O&M platforming, tooling,

and architectures) all the way to the basic model algorithms in AI utilities and domain - oriented modeling. Dedicated

Huawei engineers have made breakthroughs in the whole vertical axis; built a full - stack technology system with

home - grown accelerations in chip, software, and hardware; and placed it all into an easy - to - operate online format.

Huawei has launched one impressive product after another in such segments as AI, container, IoT, blockchain, and big

data to help enterprises and developers rise to the challenges of the new era.

Thousands of customers can attest to the benefits they have achieved with HUAWEI CLOUD, including Xinhua News

Agency, Shenzhen Traffic Police Bureau, Deppon, European Organization for Nuclear Research (CERN), Santander

Bank, Copernicus Program of the European Environment Agency, and PSA Group. HUAWEI CLOUD is going all in with

cloud to provide top stability in delivery of each service in the portfolio through continuous innovation. Find out how

HUAWEI CLOUD can help you accelerate your digital transformation — We make IT possible, and affordable!

第4页

Cover Story

Exploring the Cloud 2.0 Era and Transplanting the Technology Gene P16

P16

Copyrigh © Huawei Technologies Co., Ltd. 2019

All rights reserved

No part of this document may be reproduced or transmitted in any form or by

any means without the prior written consent of Huawei Technologies Co., Ltd.

NO WARRANTY

The contents of this magazine are for information purposes only, and provided

‘as is.’ Except as required by applicable laws, no warranties of any kind, either

expressed or implied, including, but not limited to, the implied warranties of

merchantability and fitness for a particular purpose, are made in relation to

contents of this document. To the maximum extent permitted by applicable

law, in no case shall Huawei Technologies Co., Ltd. be liable for any special,

incidental, indirect, or consequential damages, or lost profits, business,

revenue, data, goodwill, or anticipated savings arising out of or in connection

with any use of this document.

The Smart Future Is Here

— Winning the Next Decade on HUAWEI CLOUD AI

P22

Adopting IaaS in Cloud Service Profiles P30

Future-Ready,

Full-Stack Container Services Accelerate Cloud Adoptions

P34

Continuous Innovation in Cloud Offerings to

Suit Customer Requirements

P38

Data-focused Security Agenda of the Cloud Era P40

HUAWEI CLOUD DevCloud – Helping You Realize Your Potential P44

Dare to Invest in the Future and Continuously Build Up Strengths P46

HUAWEI CLOUD Enables More Intelligence with Its AI Chips P50

·

4Contents

第5页

Development

Insight

Development Trends in Cloud Computing (Q4 2018) P06 Bosch and HUAWEI CLOUD Band Together to P54

Connect the World

Deppon Logistics Supercharges Express Delivery

Operations with HUAWEI CLOUD

P56 HUAWEI CLOUD Milestones 2018 P08

HUAWEI CLOUD + Xinhua News Agency

Cloud Technologies Empowering News Agency

P58

HUAWEI CLOUD Rendering Service

Brings Museums to Life

P60

HUAWEI CLOUD Powers Special Effects Rendering in

Macrograph's Post-Production of Operation Red Sea

P62

Redefining DevOps in the AI Era P10

ounder of Jenkins

discusses continuous delivery pipelines P14

huaweicloud.com

Publisher: CLOUD + Editorial Board, Huawei Cloud BU

To subscribe to Cloud +, contact the Editorial Board:

Email: cloud.plus@huawei.com

Address: D1, Huawei Industrial Base, Bantian, Longgang,

Shenzhen 518129, China

Tel: 4000-955-988

New Business

·

5Contents

第6页

Development

·

6Development

Development Trends in Cloud Computing (Q4 2018)

Anticipated Release of Blockchain

Security Standards

HUAWEI CLOUD: Geared Up for the AI Era

Release of the EI City Intelligent Twins

on HUAWEI CLOUD

2018 HUAWEI CLOUD Global Blockchain

Developer Competition

Six Major Trends in Enterprise

in 2019

London Leads Annual Increase in

Investments in AI at 43%

Commercialization of Blockchain in Full Swing

Outstanding Performance of

Chinese Tech Companies

According to a blockchain srvey report released from

Forrester Research, commercialization of blockchain

is accelerating. The report shows that technology

decision - makers from around the world are working

with partners to promote blockchain across all

sectors. In the report, Forrester Research pointed

out that in this global trend, the Chinese market

has demonstrated outstanding performance in

promotion of blockchain.

In November of 2018, drafting of Security and

Technology Requirements for Blockchain Platforms

started to form up industry standards. This standard

clarifies the major threats and security system

architecture requirements of blockchain platforms

and provides technical requirements for key modules,

helping form the basis for ensuring stability and

security in operation of blockchain platforms.

On October 9, the global developer contest jointly

hosted by HUAWEI CLOUD and Trusted Cloud opened

in Beijing. HUAWEI CLOUD, Trusted Cloud, CAICT,

Hyperledger, Blockchain Committee of CCF, and many

other organizations meet to accelerate technological

innovation and product incubation in platforming for

enterprises and build up the developer ecosystem.

London has the highest increase in investment in AI of

anywhere in the world. The sector grew 43% last year

in the megacity, ranking in the pole position followed

by Paris at 33% and Berlin at 19%. Investments in AI

declined in other places, including Beijing, Bangalore,

and Tel Aviv between 2017 and 2018.

On October 11, during HUAWEI CONNECT 2018, the

cloud arm of the company announced the exciting

upgrades to the Enterprise Intelligent (EI) suite on

its service platform powered on Huawei's latest

AI chip. The new capabilities were showcased in

release of the EI City Intelligent Twins offering on

HUAWEI CLOUD.

In November, Moshe Kranc, CTO of Ness Digital

Engineering, and his team predicted their macro

development trends for some specific technologies

in 2019. They anticipate that these technologies will

change the rules in the market. New technologies,

such as blockchain and machine learning, will

continue to grow. Now familiar pillars like cloud

computing and big data will consolidate their market

positions, and network threats will continue to

plague users.

第7页

·

7Development

Development Trends in Cloud Computing (Q4 2018)

Data Center Operations Consume 2%

of the World's Energy

Huawei Releases Full - Process AI

Development Platform

HUAWEI CLOUD Releases Miranda

AI - Enabled Cloud Security Platform,

Venturing into Uncharted Areas

Cloud Computing Will

Integrate Innovative Technologies

HUAWEI CLOUD First to

Launch Gene Container

New Service Launch Injects New Capabilities

in Gene Sequencing Field

Five Ways in Which Cloud Computing Will

Change in the Following Year

2%

The maturity of the tech is helping add momentum

to the digital transformations at enterprises,

especially when it comes to migrating data from

data centers. Forrester's five predictions in how

cloud computing will develop in 2019: Enterprise

spending will increase; container, Kubernetes

(K8s), and serverless will continue to transform

the makeup of core enterprise applications; new

methods in private cloud operation will emerge;

the strategies in Platform - as - a - Service (PaaS)

delivery will place more consideration on long -

term UX; and Software - as - a - Service (SaaS) will

continue to grow in popularity.

HUAWEI CLOUD released the accelerated, full - process

AI development platform and tooling, named

ModelArts, involving data labeling and preparation;

model training, tuning, and deployment; and other AI

development processes in a one - stop service profile.

On October 11, 2018, HUAWEI CLOUD released

its AI - enabled Miranda platform featuring

many advancements in efficiency of traditional

rule matching models. Miranda yielded a 53%

improvement in lowering the missed report rate in

Web Application Firewall (WAF) and 47% in Database

Security Service (DBSS). The blocking rate in Situation

Awareness (SA) improved to 99%. The missed report

rate in Advanced Anti - DDoS (AAD) decreased by

49% and the detection rate in Host Security Service

(HSS) reached 90%. Six other security products were

also released, to bring the number of new releases

up to seven and giving Huawei the most complete,

cutting - edge security portfolio in the business.

Data center build out has led to an increase in power

consumption, necessitating the need for improved

green credentials while improving the uptime for

the centers. This means the reliability of the power

supply must be improved to keep servers up at all

times because any downtime can be extremely costly.

Global data centers consume more than 416 TW of

electricity each year, which is equivalent to about 2%

of world energy production.

On October 11, 2018 during HUAWEI CONNECT, the

world's first Kubernetes - based gene container

service was launched. Powered on lightweight

container technologies and big data and deep

learning algorithms, Huawei Gene Container Service

(GCS) provides customizable sequencing processes,

high reliability resources that can be scaled up

in seconds, and the conveniences of a one - stop

experience for sequencing vendors. The new service

makes computing for the sector more efficient and

faster while streamlining usage.

According to a survey conducted by Forrester, cloud

computing is no longer a new technology as many

analysts perceive it to have entered the early stages

of maturation. Cloud computing is no longer looked

at as just a temporary server. It integrates innovative

analysis, machine learning, messaging, IoT, and

database services.

第8页

华为云 2018 大事记:

2018 年 2 月:发布深度学习服务和区块链服务 BCS

2018 年 3 月:华为云香港站开服,向亚太提供服务;华为云俄罗斯站开服,是唯一在当地落地的公有云;华为云成为中国唯一全平台、全2018 年 4 月:发布《华为区块链白皮书》,加速区块链技术落地,推动行业数字化转型

2018 年 5 月:推出华为云智能数据湖,为人工智能浪潮提供一个智能化的底座,让数据不跑路。

2018 年 6 月:发布华为云 EI 智能体,用行业智慧,通过智慧大脑、智能边缘、无处不在的感知为企业构筑全场景 AI 服务

2018 年 6 月:发布网络增强型云服务器 C3ne,使云计算进入千万级网络转发时代

2018 年 7 月:华为云进入 Forrester 公有云领导者象限

2018 年 8 月:华为云全球推出 GPU 共享型 AI 容器 加速“普惠 AI”落地;发布出 Istio 服务网格,引领云原生领域风向标

2018 年 6-8 月:华为云陆续推出深度学习、图像搜索、EI 智能视频等系列服务,推动 AI 在行业应用场景落地

2018 年 9 月:华为云推出三大应用服务——端到云全链路应用性能管理 APM、专享版微服务引擎 CSE、应用编排服务 AOS 图形化设计器2018 年 9 月:华为云泰国站将正式上线提供云服务。

2018 年 9 月,世界人工智能大会召开,发布华为云 EI 视频智能解决方案,与 Forrester 联合发布《产业人工智能发展白皮书》

2018 年 10 月,2018 华为全联接大会召开,华为发布 AI 战略与全栈全场景 AI 解决方案,其中包括全球首个覆盖全场景人工智能的华为 A华为云发布 AI 全流程开发平台与工具——更快的 AI 开发平台 ModelArts、更懂开发者的视觉 AI 应用开发平台 HiLens、探索未来的量子计正式发布华为云 EI 城市智能体,帮助解决更多城市难题。

面向开发者、合作伙伴、高校和科研机构,华为发布了沃土 AI 开发者使能计划,在 AI 资源提供、平台支撑、课程赋能、联合解决方案等联手中国电子技术标准化研究院信息安全研究中心发布《华为云数据安全白皮书》,将华为云在数据安全领域的丰富实践和经验,分享给发布米兰达(Miranda)安全 AI 平台,在传统规则匹配模式基础上进行 AI 化,大幅提升了华为云全系列安全服务使用效率。

发布全球首款基于 Kubernetes 的 Serverless 容器服务——CCI(Cloud Container Instance),提供面向通用场景的 CPU 容器实例和面向 AI 计 2018 年 11 月,华为云南非大区开服。华为云是全球首个在非洲设立本地数据中心并提供服务的公有云服务提供商。

Release of E2E AI platforming and tooling, including ModelArts able to accelerate AI adoptions, HiLens that helps developers

supercharge their efficiency, and HiQ purpose built for quantum computing simulators and programming frameworks.

Official release of City Intelligent Twins in the HUAWEI CLOUD EI suite, helping solve many of the difficult issues in urban

management and operation.

Launch of Developer Enablement Plan, which provides multi-level support for developers, partners, experts, and research

institutions in the form of AI resources, platform support, enablement through courseware, collaboration on solution development,

and many other supports to make AI more affordable, easy-to-use, and secure across the ecosystem.

Highlights from HUAWEI CONNECT 2018

Opening of Hong Kong Region,

accelerating service response for the

Asia-Pacific market; opening of Russia

Region, becoming the only public cloud

deployed in the country; HUAWEI CLOUD

becomes China's first cloud provider to

have all platforms, nodes, and services in

scope with PCI-DSS.

Release of the blockchain

technology and publishing of

Huawei Blockchain Whitepaper in

promotion of digitalized evolution.

Launch of intelligent Data Lake

for AI operations, simplifying

data management and

facilitating data sharing.

Release of HUAWEI CLOUD EI Intelligent Twins,

offering an all-scenario AI service portfolio for

enterprise customers that combines corpuses of

industry knowledge with the accelerations of

intelligent edges while delivering a uniform UX

across the entire profile.

Release of network-enhanced C3ne ECS,

yielding networking forwarding capabilities

into the tens of thousands range.

Forrester reports Huawei as

a leader in public cloud services.

Release of first versions of

Deep Learning Service (DLS) and

Blockchain Service (BCS).

HUAWEI CLOUD Milestones 2018

Feb

2018

Mar

2018

Apr

2018

May

2018

Jun

2018

Jun

2018

Jul

2018

第9页

全节点、全服务通过 PCI-DSS 认证的云服务商

器,助力应用高效上云;发布 IPv6 解决方案 海量 IP 让连接更简单

Ascend( 昇腾 ) 系列芯片以及基于华为 Ascend(昇腾)系列芯片的产品和云服务。

计算模拟器与编程框架 HiQ。

等多方面提供支持,携手各方打造用得起、用得好、用得放心的普惠 AI 生态。

给客户,分享给业界,以期推动云数据安全领域的共同进步。

计算场景的 AI 容器实例,同时在运维效率、计算性能、计算成本、产品成熟度和开放性上具备领先优势。

Joint release of WhitePaper for HUAWEI CLOUD Data Security with China Electronics Standardization Institute (CESI), which shares

the rich expertise of HUAWEI CLOUD in data security with customers and the industry, forming discussion on how to move forward

collectively in enhancing security practices.

Release of the Miranda platform, an AI-based security platform that enhances traditional rule-matching models with AI, adding even

higher levels of safety for the entire scope of services in the HUAWEI CLOUD brand.

Release of the world's first serverless Kubernetes-based container service named Cloud Container Instance (CCI) that provides CPU

container instances for general-purpose scenarios and AI container instances for more intensive cases – both options deliver much

improved O&M efficiency and compute performance/affordability while enabling all new levels of portability.

Launch of GPU-shared AI container as part of

the new Inclusive AI strategy; release of Istio

service grid, leading the direction in cloud

native technology.

Rollout of ImageSearch, DLS, intelligent

video analysis services, and a long list of

other services in promotion of AI utility

adoption in a wide-range of industries.

Release of end-to-cloud Application Performance

Management (APM), Exclusive Microservice Engine (CSE),

and Application Orchestration Service (AOS) graphic

designer, making it easier to move applications to the

cloud; release of IPv6 solution, simplifying connections for

massive quantities of instances.

Official opening of Thailand

Region, accelerating service

response in the area.

Release of intelligent video solution

in HUAWEI CLOUD EI suite at World

Artificial Intelligence Conference

2018; Industrial AI Development

Whitepaper jointly released with

Forrester.

Official opening of South Africa

Region, establishing the first data

center in Africa to provide cloud

services for local enterprises.

Release of full-stack AI solution and a full range

of products and solutions powered on the world's

first AI chips (Ascend) able to at suit all scenarios

at HUAWEI CONNECT.

Aug

2018

Sep

2018

Sep

2018

Sep

2018

Oct

2018

Nov

2018

Jun-Aug

2018

第10页

Insight ·

10Insight

Redefining DevOps in the AI Era

Jez Humble started his career as a programmer and later wrote several books sharing his expertise in product development.

He is best known as the co-founder and CTO of DORA (DevOps Research and Assessment). Humble recently stated that DevOps

will gradually eliminate the traditional development models adopted in the past decade because such models cannot meet the

frequent updates in applications of today. Although many developers may find the whole DevOps contraption difficult to wield in the

beginning, the new model is able to greatly improve efficiency, security, and scalability of system developments.

■ By Chris Pereira and Xu Shengla

Insight

·

10Insight

第11页

华为云 Q2 动态 +Q3 事件预告

·

11Insight

▌ DevOps: the New Normal

Redefining DevOps in the AI Era

*DevOps (a clipped compound of \"development\" and \"operations\")

is a software development methodology that combines software

development (Dev) with information technology operations (Ops)

to shorten the systems development life cycle while delivering

features, fixes, and updates frequently in close alignment with

business objectives.

All the research and reports point to the fact that investing in DevOps capabilities brings undeniable benefits to adopters. General estimates for

development teams using the DevOps principles yields a 46 - fold improvement in code deployment while accelerating code change turnarounds

by 2500 times. From the perspective of stability, the code change failure rate is seven times lower than that in the past, and the fault recovery

speed is 2600 times faster when compared to legacy models. Those numbers are not typos, they are the reality!

These are not new things to Humble. He has been promoting open collaboration and DevOps for years. He expressed that development models

must be able to easily pick up the latest data and react quickly. Old models cannot do this, and in this day and age, organizations must be able to

quickly collect and use the latest data. As the industry enters the AI era, this will become explicitly more important.

According to the latest survey released by O'Reilly Media, the median salary of DevOps engineers worldwide is $90,000 USD a year. This

information is corroborated by the 2018 Accelerate State of DevOps Report released by DORA. The penetration rate of DevOps in the industry is on

the rise and enterprises demonstrating high efficiency, quality, and stability in software deliveries have made constructing and optimizing their

DevOps model the priority, leaving those adopting moderate to low priorities in the wake to sway with the waves.

·

11Insight

第12页

Insight

·

12Insight

▌ Management Challenges and the Remedies Wide - open Collaboration in Developing Full - stack Capabilities

The design and manufacturing cycle of the telecom industry in the traditional context was rather

protracted even before factoring in the time needed for network deployments and software

deliveries to dealers and end users. There were many restrictions in the entire process. The Huawei

DevOps model breaks free from the constraints of traditional models and provides the much - coveted

openness and agility in the software development processes.

Huawei has amassed the collective talents of vertical industries. Humble noted that Huawei's

solutions cover the entire value chain, including hardware, basic stack components, network

infrastructure, and developer tooling. Huawei DevOps solution is constructed based on HUAWEI

CLOUD and provides full - stack, end - to - end coverage and features huge advantages in openness

and collaboration.

Humble believes that enterprise development teams must learn how to create and manage systems

that meet production standards and then instill methods to continuously improve on deliveries,

stating that this approach requires the use of a powerful, comprehensive, automated testing

platform with a variety of available production methods from which to choose.

Capability Development and Performance Measurement

To successfully implement the DevOps development process in the artificial intelligence era,

enterprises must embrace new thinking and working models. Some software developers may think

that accelerations equate to greater risks, but in fact there is no additional risk if the processes are

properly handled. Development teams able to implement DevOps have seen excellent performance

in terms of throughput, stability, and availability. How did they accomplish all that? Through careful

measurement, automation, and analysis. DevOps - enabled teams can deploy, update, and roll

back multiple times within one day and recover from service interruptions within one hour. The

failure rates of these development teams are very low – they are able to produce quick iterations

without compromising stability. Humble once again comments that teams must invoke the latest

data for model verification to ensure that software can be deployed smoothly in support of industry

solutions featuring higher reliability. Development teams must be able to improve skillsets, measure

performance, and adapt to new mindsets. Only by tracking software delivery performance can

enterprises truly leverage the value of DevOps.

The four Metrics by Which DevOps Teams Are Measured

The following four major metrics are used to measure the efficiency of DevOps teams: time

needed in change cycle from code check - in to final release; deployment frequency of production

(throughput) changes; time needed to recover services after a fault occurs; change failure rate after

the production change is committed.

Tracing these metrics allows us to understand the performance of the DevOps process and lay a

solid foundation for at - scale application deployments. Properly configuring multiple metrics allows

enterprises to have a more complete picture of which tools and processes are running properly and

which parts need to be readjusted or rebuilt. Adopting a DevOps process is not enough, however,

enterprises must also understand the impact of the implementation process with the actionable

insights of data.

Despite all the benefits, integrating a DevOps regime into existing processes is no easy task. Humble says it this way (paraphrasing):

Adopters have to make some tough choices. Over the past five years, we have been studying factors contributing to high - quality software delivery

and their impact on business and we also looked at how those capabilities or lack thereof affect business performance and what capabilities

will be affected by software delivery. Understanding these factors is a prerequisite for improving enterprise development capabilities. That being

said, we must also acknowledge that each organization is different, what works for one may not work well in the other. So, how should enterprises

take the first step? Teams must have a sense of urgency to solve problems and must continuously invest in resources and capabilities to improve

team work. Once the DevOps mode is used, the team can provide users with the latest and most reliable software through continuous testing and

version updates, thereby accelerating service rollout.

第13页

·

13Insight

▌ Grow with Intelligence DevOps

▌ Automation in DevOps and the Value of AI

The application of DevOps in traditional software development

processes means industrialization of production change processes

and improving reliability. Humble points out that what we actually see

is how many processes are pieced together. It is difficult to replicate the

work of development personnel, complicating the adoptions. Huawei is

working on the situation by systematizing the processes and promoting

industrialization. Automation delivers unique value in enhancing IT

operations. Automation and artificial intelligence improve efficiency

and stability, ensure high - quality IT operations, and yield enhanced

management over unified configuration and release mechanisms.

Tooling with AI - enabled analysis capabilities has emerged, which

can better predict and solve problems in IT operations. For example,

monitoring tools help measure application performance to ensure

requirements are being met. The real value, however, comes from

the embedded analysis capabilities that not only detect whether the

requirements are being met, but go further to analyze the reasons

for the failure. The information is then sent to the development and

testing teams so they can solve the problems with improved speed.

AI is changing the face of DevOps as investments in artificial intelligence

infrastructures (such as tool chains and platforms) continue to

enlarge. Developers are increasingly concerned with training and

verification models, data pipelines, cloud and edge deployments, and

how to measure the effectiveness of it all, which in turn elevates the

requirements on data governance and tuning of configurations. Humble

illuminates that the key issue is the delivery cycle. It takes a lot of time to

train models, get feedback, and complete model training and verification.

He believes that the focus of attention will move to improving reliability

and shortening the delivery cycle, commenting that good configuration

management, automation, and end - to - end solution control are very

important. Through automatic testing and deployment, we can predict

the capabilities of the continuous delivery apparatus, which can in turn

have a positive impact on software delivery and the entire makeup of

the enterprise culture. Developers require a simplified solution – this is

paramount to improving all - around efficiency. After all, the results of

automating a complex, unreliable manual process amounts to nothing

more than a complex, unreliable automated process.

Redefining DevOps in the AI Era

The word DevOps was coined by Patrick Debois in 2009, and its

connotation has undergone numerous interpretations. DevOps creates

new standards in software development, from basic systems to

enhanced feedback loops, forming a continuously experimenting and

learning team culture. With the addition of AI, DevOps will gain greater

influence and momentum.

DevOps and AI are a perfect match. As we enter the AI era, the focus of all

industries is moving towards provisioning of end - to - end solutions that

are more intelligent, faster, and efficient. Humble has repeatedly stated

that DevOps can help enterprises accelerate delivery while providing

higher levels of reliability in end - to - end solutions.

As the system development cycle in DevOps continues to shorten, more

breakthroughs in automation and event monitoring will be made in

software development processes. Developers can develop more secure,

tenacious software systems at scale, further unleashing the potential for

openness and collaboration. Find out more about the unique value that

Huawei DevOps can deliver in activating intelligence in your organization!

第14页

Insight

·

14Insight

▌ Kohsuke Kawaguchi discusses continuous

delivery concepts and methods in DevOps

Founder of Jenkins

discusses continuous delivery pipelines

The popularization of all excellent ideas requires advanced technologies and the creation of corresponding tools to bring the new methods

to the masses. The concept of DevOps and the continuous delivery capabilities therein are no exception to the rule. Software development

is the most complex and uncontrollable engineering technology mankind has come up with to date. Once a code is submitted to the

system, dozens, hundreds, or even thousands of steps, commands, services, applications, and environments stand to be involved. If

delivery pipeline capabilities are lacking, efficiencies cannot be improved by replacing the repeatable, tedious operations with automation.

Enterprises that have not adopted DevOps are displaying low efficiency and high error rates from reliance on manual operations for the

development and toolchain apparatus.

Kohsuke Kawaguchi, often referred to as

KK, is the founder of Jenkins and the CTO of

CloudBees. He is also the first to put DevOps

into practice and a champion of large-scale

popularization. Jenkins users total into the

two-million-plus range. In the professional

tooling area of the continuous delivery

pipeline, market share exceeds 90%, making

it the standard-bearer.

At HUAWEI CONNECT 2018, KK delivered

a speech titled \"Super Powers Coming to

Your Jenkins\", covering DevOps continuous

innovation/continuous delivery concepts and

methodologies, as well as product solutions

and key technologies for different scenarios,

such as Blue Ocean, Cloud Native Jenkins,

Jenkins Evergreen, and Jenkins X.

He explained, if Cloud Native Jenkins

is deployed, users will not receive calls

informing them services are down on a Friday

night because the service runs on elastic

cloud resources able to withstand multiple

and simultaneous points of failure (POFs). No

resource reservation, O&M costs are reduced,

and customers get all the performance they

need on a moment''s notice.

Jenkins Evergreen provides preset templates.

Clicking on a template generates a

sustainable pipeline in a just a few minutes.

This greatly simplifies the configuration

procedure of the pipeline and reduces the

■ by Kohsuke Kawaguchi, CTO of CloudBees

configuration threshold. All configurations

for Evergreen are managed by Jenkins and

can be upgraded online at any time. Users

can focus on their own service development

and delivery, and do not need to pay attention

to complex pipeline configuration and

component management.

Jenkins Configuration as Code allows users

to compile YAML scripts to interconnect

plug-ins, security tools, check tools,

document services, and the like. All tools

and services can be interconnected

using scripts. Users can trace and view

version controls, code audits, and rolling

deployments, and accurately trace the

plug-in set and its version, enabling users

to have more confidence in frequent change

commits and iteration.

Jenkins X provides best practices for

continuous delivery of cloud native

applications, covering various phases, such as

build, test, review, change, and collaboration.

With the emergence of kubernetes, users

must study the new knowledge, tools, and

services and such topics as how to migrate

to containers, how to install and implement

the new cloud operating system in addition

the reverse in installing containers to the

k8s ecosystem and comparing and selecting

which toolchains best for their scenario.

Adapting to kubernetes is no easy task – Jenkins

X makes the process smooth.

第15页

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15Insight

Founder of Jenkins discusses continuous delivery pipelines

▌ HUAWEI CLOUD shares practices in DevCloud pipeline builds

Also during Huawei Connect 2018, Huawei experts introduced the

practices in the DevCloud of its cloud service brand. Huawei experts

shared on now the R&D model has evolved from the largely manualbased operations of the past into the IPD phase and later evolved even

more completely by taking on the CI/CD, and DevOps frameworks.

These adoptions have transformed the organizational and process

matrixes. With the continuous transformation of R&D models,

organizations, processes, and tools, efficiencies in product delivery

have greatly improved while TTM has been shortened from 1-1.5 years

to 2-6 weeks for many efforts. For some Internet-based products, the

iteration period is shortened to one week, and updates to multiple

microservices can be released every day.

The automated and continuous delivery pipeline platform/service

is the core engineering practice. With the pipeline, the time needed

for E2E delivery (from code submission to go - live) is significantly

reduced. The automation and concurrency capabilities vastly improve

the efficiency of each service, turning manual operations into elements

with high levels of automation. Container builds, infrastructure as

code, containerized deployment, and gray release services ensure that

products can be repeatedly and reliably released with fast iteration.

Huawei's 80,000 R&D employees originally used commercially - development

tools, which were incapable of meeting agile delivery requirements.

After all, agile and fast iteration capabilities in tooling ultimately

depend on the agility and speed of the tool platform. As a result,

Huawei switched to open source and ensures that 100% of its software

development tools are compatible with native open source systems.

In addition, cloud adoption capabilities, the extension of the x - as - a -

service portfolio, and everything from utilities like single sign-on (SSO)

and multi-region management to the stalwarts of high concurrency,

high reliability, and high security are continuously being improved

upon, building core competitiveness in all products.

Huawei is well aware of the pain points in building the toolchains

in software delivery and O&M so it knows exactly what developers

need. The automatic continuous delivery pipeline and DevOps

toolchain are visualized and flexibly orchestrated to allow hitless

upgrade for services and products releases executable in minutes.

Many enterprises are benefiting in significant ways from the greatly

shortened delivery periods and improvements in delivery efficiency

and product quality.

Huawei's product teams and coding scale are both commendable.

Some products can have tens - of - millions of lines of code and over

1000 people working on the offering. Each component and team

member relies on the quality of all the others. Making matters even

more intertwined, Huawei's big platform strategy means its different

arms must also rely on the products from the independent business

groups (BGs), each with their own product line and platforming. As

a result, many products depend on different platforms delivered

by several teams. The large scale of products, thousands of service

features, and tens of hundreds of modules also means that different

departments use different environments and networks.

In this complex environment, Huawei has built a hierarchical and

continuous delivery pipeline. The pipeline is divided into the following

levels: individual, project, subsystem, product (version), and solution

level. The pipeline orchestrates workflows and triggers execution of

the next-level pipeline. In this process, the L1 - L4 test model is used.

Different automatic test policies are executed at different levels of

pipelines. The quality access control corresponding to each task is

set to determine whether to allow the pipeline to continue. Multi - layer

pipeline protection moves defect discovery forward and ensures

product quality.

Pipeline templates for continuous microservice delivery are

provided that conform to the current flavors. Different from

the continuous delivery pipeline of traditional products, the

microservice pipeline matches the role permission model of

full-function teams and full-stack engineers in the permission

governance layout. SDEs can submit codes and operate the pipeline

until the microservice is released, after which construct images,

container-based deployment, gray release policies, and automatic

rollback policies are implemented. Microservices can be released

online every day/hour – or even within minutes!

A continuous deployment pipeline is also provided for static resources.

The pipeline starts from software package changes and is deployed

across multiple regions to implement automatic update of static

resource packages for multiple servers in multiple regions.

In related technologies and services, gray release capabilities,

fast build, infrastructure as code, configuration as code, Docker,

K8s, automatic deployment, automated testing, and CloudPipeline

Continuous Deliver Domain Language (CDDL) description files are

particularly critical. Gray release and blue and green deployment

policies ensure service upgrade without interrupting services.

Incremental build, parallel construction, dependent pre - read and

cache, and container slave all help accelerate builds, even yielding

results in hours or even minutes. Container technology is used to

standardize the environment, effectively eliminate the differences

between the four environments of the DTAP, and reduce the cost

associated with configuring, deploying, and maintaining the environment.

CDDL describes the pipeline orchestration and service access standards.

Manual review options allow for improved control over delivery quality

when such reviews are needed to ensure absolute quality.

It is the basic direction of the pipeline and DevOps platform

to automate everything, turn everything into code, and place it

all in the x - as - a - service framework while visualizing the entire

versioning and data management processes. Intelligence is also being

added into each element with the developments in AI. DevCloud - based

pipelines are able to support millions of concurrent scheduling tasks

and provide visualized dashboards, task health (execution success

rate), and overall pipeline views with drill-down capabilities in phase

and task execution events.

Huawei is in the practice of using its own products in testing on its own

systems to ensure DevCloud and other offerings are market - ready for

its customers. New methods, concepts, and practices in online testing

are table to further shorten TTM and improve product quality.

At the end of the speech, Huawei experts demonstrated how to

quickly rollout changes online after a change is completed. The on - site

demonstration running on a live network demonstrated the high level

of confidence the team places on the quality and reliability of the

DevCloud service.

Huawei is working on to provide a localized version of the Jenkins

website for the China market and has been exploring deeper

cooperation in various areas in the community. The industry is

looking forward to seeing what new ideas Jenkins and Huawei

DevCloud can put together in providing improved continuous

delivery pipeline services.

Kohsuke Kawaguchi said something that serves to sum up the whole

DevCloud discussion: \"The more you build quality into systems - through

automation & shorter cycle times -the more you increase throughput

& stability\". HUAWEI CLOUD – ready to accelerate your continuous

delivery pipeline with the mission-critical reliability and stability you

need to stay up and running around the clock, every day of the year.

第16页

·

16Cover Story

Cover Story Cover Story

Exploring the Cloud 2.0 Era and Transplanting the

Technology Gene

■ by Zheng Kai

The mastery is in handler, not the implement.

These eight words are engraved on Jin Yong's novel The Return of the Condor Heroes in which Yang Guo, after having broken his arm

to get it, finally obtains to the heavy sword technique. Yang uses his newfound enlightenment and masterly - crafted heavy sword to

finally defeat Jinlun Guoshi to become a legendary warrior - king.

Unwieldy to the onlooker, the heavy sword in this story resembles the fabled Excalibur of Western legends, with Yang Guo assuming

the role of King Arthur – the contemporary hero king whom all kings looked up to. The sword never changed, it was just waiting for the

right person to harness its powers. Its properties didn't change. It was crafted for a reason – the sword was waiting for the right vehicle

with the right qualities to unleash its capabilities.

Swordplay takes decades to master. At the end of the first decade, the sword is sharp and the user nimble. Advancing into next decade,

swordplay becomes highly controlled, and a master with 30 years of skill accumulation is nearly impossible to defeat. This process is

the sculpting that heroes must go through as they keep with their passion and learn complete control over their craft. Investments on

the frontend forge the rewards on the backend.

Some people may be asking why HUAWEI CLOUD has already made the top five in cloud service providers after being placed online

not long ago and how it can position itself as a leader in the cloud computing market. The rise is similar to the story, in which years of

preparation, accumulation, and dedication presented the perfect combination to wield a new pillar in tech: cloud. Enter the hero of the

cloud era: HUAWEI CLOUD with its 'broad sword' of innovation.

HUAWEI CLOUD has plenty of talent stacking up behind it, benefiting from the 30 - plus years of technical accumulation of the parent

company. The cloud service is set to blossom as it takes the stage with many new innovations.

·

16Cover Story

第17页

·

17Cover Story

Zhang Yuxin, CTO of HUAWEI CLOUD BU

Huawei has always adhered to these principles and success has always followed its focused

commitments. The research and development of these basic technologies are treasures that

may stay in the storehouse until called upon, but once these technologies come into use, their

value comes into play. Huawei invests and develops first then finds a way to tap the basic tech

with post - developments to suit the product/technical field. Understanding how much Huawei

puts into each effort and how it accumulates what is necessary to make breakthroughs will help

you know how it got to where it is in cloud services.

In 2008, Huawei started to invest heavily in computing, storage, and network to form its

systematic approach to R&D. The company did not make this move in preparation for entry into

the enterprise business three years later, it did so because it was daring to invest in the future

in line with its basic guiding principles. Happenstance or was it because everything comes into

place when you got the right core values and policies? Zhang Yuxin gave his perception:

Amazon and Google had already formed the concept of public cloud back in 2008. Huawei,

conditioned to thinking about the future for customers, started to think about how to apply this

concept to the carrier market as that was the then lion share of the focus. Huawei realized it

did not have the complete capabilities to deliver the concept, thus it embarked into the basic

research of the IT needed to make it happen.

According to the three - stage strategy in R&D, Huawei invests in the technical reserves first

to collect what is needed for the entire interoperable portfolio. For example, Huawei Symantec

Technologies was established in 2007 to focus on the storage industry. Huawei dived into servers

even earlier than that.

Therefore, the logic is clear. Although Huawei decided to enter the enterprise business in 2011,

Huawei's reserve for IT infrastructure can be traced back to before 2007. HUAWEI CLOUD

benefits from these long - term investments into basic technology with the thirty - years of

expertise in ICT of its parent company.

▌ The Tech that Makes HUAWEI CLOUD

Zhang Yuxin joined Huawei in 1999 when he started to work in the frontlines of R&D. In the 20 years,

Zhang says it is still the same in essence as it was decades ago: dedicated to customer success and

daring to invest. Mr. Zhang, now CTO of the HUAWEI CLOUD BU, states, \"In fact, more than a decade

ago, Huawei established a comprehensive R&D system. At that time, we established the belief –

the way of serving customers and our business boundaries and principles.\" This belief means the

company abides by business boundaries, focuses on performing well in its core competencies,

manages technologies and R&D processes through a complete technical management system, and

stays in tune with the market to quickly respond to customer requirements.

Zhang explained: What does Huawei mean by business boundaries and invest boldly in R&D? It

means we focus on R&D efforts and achieve a leading position in our established directions. So, at

the time years ago, we didn't give into the temptation to explore the Personal Handy - phone System

(PHS), and focused our priorities on achieving 3G viability and becoming number one in the world.

This focus is what made us what we are today.

Zhang then continued to explain the 'dare to invest in the future' slogan commonly used at Huawei.

He said that the R&D system has a three - stage strategy: collect, develop, plan for the future.

This sets the tone for the long - term mentality in investing and accumulating technologies. In one

example of this commitment, way back in 1996, Huawei started to research and develop its own

chips as part of its long - term investment strategy. Towards the end of the 90s and into the new

millennium, Huawei also took up long - term investments in operating systems, databases, and many

other underlying elements that go into the end - to - end mix. These moves are what give HUAWEI

CLOUD the unique capability to provide full - stack cloud services, starting from chips and working

all the way up to higher - order equipment.

Zhang continued:

Huawei has always stuck to its strategy in R&D. We refer to it loosely as our big platform, small

products strategy. This means we need to build up basic technologies that can be shared

across our business groups to the greatest extent possible because the time needed to build

basic competencies is long and involves copious amounts of professional inputs. If these basic

technologies are built and shared within the company, all this energy will not be wasted and the

capabilities of all products can be brought up quickly. Looking back, albeit somewhat inadvertently,

we set ourselves up with the perfect positioning to enter the cloud arena. We were focused on

developing broad - reaching tech, and that is what the cloud market is all about.

HUAWEI CLOUD The mastery is in handler, not the implement

·

17Cover Story

第18页

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18Cover Story

Cover Story

▌ Everything Changed in 2011

Construction on Songshan Lake Data Center in Dongguan completed in July of 2016.

The success of the EDC migration demonstrated Huawei's all - cloud distributed data center

blueprint was ready for customer adoption.

were difficult to manage. Therefore, Huawei

decided to cloudify its internal IT capabilities.

Su Liqing commented: \"The budget for

building the global IT infrastructure for

one of those years of build out exceeded

$200 million USD. After we completed the

cloudification of global resources, only half

of the budget was spent. We called the build

the R&D Cloud, which improved resource

utilization by more than 2.5 times. Generally,

the CPU usage of enterprise IT servers is less

than 20%, while Huawei's CPU usage can

reach 70%.\"

In fact, we can see that Huawei uses

internal IT to save resources. However, the

greater benefits brought by cloud are the

improvement of Huawei's business efficiency.

After resources are concentrated, the

computing capability is greatly improved.

The original R&D efficiency is doubled.

Using a platform project with more than

one - hundred million lines of code is used

as an example, the iteration period for these

types of big projects was nine months. After

going to the cloud, it soon turned into six

months, and now it has been shortened

to three months. Take the product R&D of

the consumer business as an example. The

launch time has been determined at the

beginning of the project, but improved R&D

efficiencies means increased frequency in

mobile phone iterations is possible, which

reduces bugs and improves the quality.

Su Liqing remembers clearly all the

affirmations received from business

departments. He recalls that after the

Huawei Chengdu Lab went live on the cloud,

Sun Cheng, the then - director of Chengdu

Research Center, ceremoniously cut the

ribbon to the lab, saying, \"The labs in the past

were closed off. To ensure security, personnel

must use access cards to enter and exit the

labs. After the labs are moved to the cloud,

the lab becomes open. Because data is on

the cloud, security and efficiency are greatly

improved.\"

2011 was a year to be remembered for Huawei.

In 2011, Huawei expanded its offerings,

extending into the enterprise business and

establishing the Enterprise BG.

There is a backstory to all this though. That is,

there were plenty of preparation and builds

to get ready for this move, which would also

ultimately fuel the cloud transformation of

2012. At that time, Su Liqing just took over

as head of the IT department at Huawei.

The transformation was both pain and joy

for Su Liqing, who is now the Director of the

Su Liqing,Director of

Infrastructure Engineering Dept.

Infrastructure Engineering Department under

Cloud BU.

Because Huawei's business layout is a

global one, the core of Huawei is R&D assets.

However, the global lab layout was plagued

by information silo after information silo.

Therefore, for Huawei IT, the first challenge

was enacting a cloud adoption to break free

from the originally constricting architecture

of the lab operations. Su Liqing said, \"This

process was very painful because it meant

that the overall IT architecture of Huawei

needed to be changed, including the security

isolation architecture, which had to be

resolved with each business department and

for each use case.\"

What metrics can be used to measure the

effectiveness that a cloud profile has on R&D

operations? The biggest and most obvious is

the ability to reduce costs. The cloud powering

Huawei's business applications is one of the

world's largest enterprise - class applications.

In 2012, among Huawei's employees, about

80,000 were R&D personnel working in more

than 1,500 labs around the world. These labs

built some computing capabilities, including

simulation, compilation, and antivirus, but

these resources were scattered, bogged

down with low utilization efficiency, and

第19页

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19Cover Story

▌ The Cloud BU is Born

Cloud 2.0 dominated by enterprise applications

Release party for the

Cloud Ecosystem Changsha Declaration

In March 2017, Huawei partnered with Taiji, SinoSoft,

Digital China, YonYou, iFLYTEK, and ChinaSoft

International to jointly release the Cloud Ecosystem

Changsha Declaration, and announced the

establishment of the Cloud BU.

On November 15, HUAWEI CLOUD announced

opening of its South Africa Region during

Africa Com 2018

More and more industries, enterprises, and

public agencies are migrating to the cloud.

This is precisely why Huawei distinguishes

between Cloud 1.0 and Cloud 2.0. Huawei's

definition of Cloud 1.0 is dominated by native

cloud applications and Internet companies.

Cloud 2.0 is dominated by enterprise

applications. More and more industries,

enterprises, and public agencies are

migrating to the cloud.

Huawei was also facing many problems in its

own global operations. It became engaged in

the consumer business in 2011, requiring a

cloud platform like iCloud. In another aspect,

Huawei's global data center architecture also

needed to rent other public clouds. So, we

had to ask why we were not running these

operations on our own cloud.

In fact, Huawei did not embark on public

cloud in 2017. Zhang Yuxin said that Huawei

and Deutsche Telekom (DT) had piloted Open

Telekom Cloud in 2015 before the Cloud BU

was set up. This model is called 'partner cloud',

which is operated by DT as a whole set of cloud

products and solutions. This build is considered

Huawei's first trial in the public cloud.

Huawei did not expect that the partner cloud

would attract so much attention from its

carrier customer around the world. Zhang

Yuxin commented, \"If Huawei didn't support

the efforts, then who would serve our carrier

customers? So, we set up the HUAWEI CLOUD

BU in 2017.\"

Huawei was a relative latecomer to public

cloud. The birth of HUAWEI CLOUD BU

came about from a redefinition of Huawei's

business boundaries.

Huawei has always held to the principle

that it will not enter the telecom service

field because Huawei will not compete with

its customers. Therefore, while Huawei has

mature tech in private cloud, it has kept

a certain distance from the public cloud.

Huawei entered the public cloud market

only after carriers requested the offering be

made available so they could then offer such

services to their own customers.

At the same time, carriers also needed to

cloudify their networks. They needed to

implement agile service provisioning and

fast iteration of applications to compete

with Internet - based vendors. To help them

achieve these goals, Huawei introduced

cloud technologies to transform the telecom

network architecture.

Another important reason was the attraction

of the cloud market for enterprises. Yet,

public cloud was mainly oriented to Internet

applications in the beginning, which are

not Huawei's expertise and beyond the

company's service boundaries. However,

in 2016, Huawei picked up on the trends in

enterprise cloudification and made it an

important target market.

▌ 30+ Years of Accumulation Yields Most Complete

Tech/Cloud Profile

The mastery is in handler, not the implement

HUAWEI CLOUD has accelerated its global cloud layout with centers opening around

the world – outpacing other public cloud vendors in scale of build. For example, Huawei opened

its South Africa region in 2018, which is the first node in the region to be opened by any provider.

This is different from the global layout of many public clouds. Each node added to the HUAWEI

CLOUD layout outside China helps to solidify its position. Su Liqing had the following to say:

HUAWEI CLOUD has developed rapidly. This year alone, we opened centers in Thailand, Russia,

South Africa, and Hong Kong. Huawei had plenty of practice when it comes to building data

centers with accumulation in business processes and IT. Huawei has developed a global

network featuring impressive reliability backed by decades of proven expertise in builds and

into day - two operations and maintenance.

These high - value accumulations have been wrapped into the services HUAWEI CLOUD offers.

HUAWEI CLOUD has inherited all the capabilities in global data center operation, network

operation, management capabilities accumulated in processes and IT systems, and system

operations. Mr. Su added:

2000 was an important year in data center build - out for Huawei, when its globalization strategy

came into swing. Huawei had already achieved a rather strong presence worldwide by that time,

with operations in more than 170 countries and regions. We had a sort of slogan everyone would

第20页

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20Cover Story

Cover Story

say, which as 'Wherever Huawei employees go, we build IT'.

In this global data center layout, Huawei boasts eight cloud service centers able to keep

response down to the 100 - millisecond range and featuring fast application deployment

capabilities – delivering a uniform experience across the scope of the global system. HUAWEI

CLOUD is the only provider that can claim global coverage. It has achieved this because it has

continuously invested in builds.

At HUAWEI CONNECT 2018 held in Shanghai on October 12 of 2018, journalists asked about

the impressive global presence of HUAWEI CLOUD. Zheng Yelai, Huawei VP and President of the

Cloud BU, answered with some humor, \"We navigate the 'seven - seas' all day, every day. We are

everywhere, thanks to the decades of development that Huawei underwent and the established

presence in 170 countries and regions around the world. More than half of the To B business

revenue comes from markets outside China. The advantages of the globalized Huawei are

naturally inherited by HUAWEI CLOUD.\"

In an interview from the People's Daily, Zheng Yelai added, \"The cloud service itself has no

boundaries. The key to the deployment of cloud services outside China is to achieve both

globalization and localization. Globalization means establishment of a global network to provide

customers with various low - latency and high - reliability cloud services. Localization means

compliance with local laws and regulations and regulatory requirements to adapt to the market

environment.\" Huawei has a full understanding of the China and international market.

▌ Enterprises Benefit from the 30+

Years of IT Accumulation

Zheng Yelai, Vice President of Huawei and President

of HUAWEI CLOUD BU delivering a speech at HUAWEI

CONNECT 2018

can draw on our own experience in running all these aspects of our

business and showcase that for enterprises in their own digital

transformations. We demonstrate the viability of our offerings in our

own global operations.\"

In another example, Huawei designed a ROMA platform for

enterprise data integration, application integration, and message

integration that runs in the enterprise service bus (ESB). Huawei

has transformed it into an automated integration platform. For IoT

that must integrate different vendors, designs, and technologies,

the ROMA platform produces the best results. Mr. Su commented:

\"This is a typical solution that Huawei can tune to the needs of

enterprises. The capabilities of the ROMA platform have been

added to the HUAWEI CLOUD.\"

Enterprise services are diversified, which means they have different

requirements when it comes to the cloud. HUAWEI CLOUD not only

provides resource - based services, but also enables enterprises to

apply and implement services in complex environments.

Enterprise customers get more than just the resources and services

they need when choosing HUAWEI CLOUD, they can also avail

themselves of the rich experience in implementing IT architecture

changes and IT evolutions.

In the three phases of Huawei's R&D, the initial model is

a software - driven IT product architecture running ERP and CRM

software. The infrastructure must comply with the constraints of the

software package architecture to implement evolutions. The second

stage is the concept of private cloud, which was able to significantly

improve resource efficiency with the decoupling of IT and applications.

The third phase is the public cloud phase, or the multi - cloud

architecture. This phase means that the IT infrastructure is mainly

provided by public cloud service providers. The focus of enterprise IT is

to improve service efficiency and focus on the digital transformation

efforts at the enterprise.

These three phases now co - exist. Enterprise can choose what they

want. If they want equipment, we give it to them. If they want their own

cloud, we can do that too. If they want a mix, we got that too. We are

constantly improving on each offering as we frequently think about

what we are doing right and what we are doing wrong and continue

to invest into technological accumulation. We integrate all this into

HUAWEI CLOUD. We are fully confident of our future as we continue to

grow with our customers.

Huawei's global supply chain has built a visualized microservice - based

platform featuring high levels of automation. Huawei delivers about

one million base stations every year and has grafted in AI to improve

acceptance processes. Su Liqing said: \"Huawei's businesses are

complex, but everything runs on HUAWEI CLOUD, including consumer,

R&D, supply chain, and manufacturing services. This means we

第21页

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21Cover Story

Release of Ascend 310 chip at HUAWEI CONNECT 2018

Release of ModelArts at HUAWEI CONNECT 2018

HUAWEI CLOUD released the AI full - process development platform

ModelArts in its Enterprise Intelligence suite. ModelArts provide

users with a faster AI development experience. Recently, Stanford

University released the latest DAWNBench test results for the Huawei

platform with parameters set to ResNet50 - on - ImageNet; 93% or

above. HUAWEI CLOUD EI ModelArts ranked No. 1 in the world.

▌ What Makes the Full - Stack of

HUAWEI CLOUD Different?

Through HUAWEI CLOUD, enterprises can find all the required services

they need and not limit themselves to piecing together this and that

hardware, software, and algorithm. Huawei masks all the underlying

tech and provides everything customers need in as - a - service

packaging, including a full catalog of AI.

In Zhang Yuxin's view: \"Huawei's full stack includes the complete

technical accumulation amassed over the past 30 years. We

accumulated capabilities in software and hardware integration with

our focus on the carrier business in the past. We always held to the

reasoning that software capabilities will focus on architecture and

algorithm, while hardware capabilities will focus on architecture and

chips. In this sense, the essence of our business has not changed –

we just added a cloud arm. Huawei has grasped the most basic core

values of architecture, algorithms, and chips, and the cloud service

platform is the vehicle that carries it all.\"

This understanding is impressive. In Internet, the full stack does

not mean much to end users because they cannot perceive it

nor do they need to. However, in the enterprise cloud, customers

need to see the tangibles, such as the data centers and compute,

storage, and network resources. They also need to know the soft

resources are there, things like O&M and security assurance. Full

- stack capabilities become meaningful to enterprises because

they have these concerns. Customers need to see the capabilities

of each service provider, including product capabilities, solution

capabilities, and O&M capabilities.

In addition to the technical line providing the industry unique full - stack

capabilities starting from chips, the horizontal capabilities are also

impressive. Zhang explained that the full - stack service runs through

the entire enterprise business process. The value is dispersed

throughout the entire enterprise with the capability to help them solve

any unexpected problems in the entire life cycle of their enterprise

applications.

Huawei has invested in basic technologies, future - oriented technologies,

and customer - centric technologies over the long haul. It has been

able to integrate computing, storage, and network technologies while

accumulating a large number of algorithms, chips, and software and

hardware capabilities. All these capabilities have sharpened the

benchmark services and products of HUAWEI CLOUD, including high -

performance cloud infrastructure services, the enterprise intelligence

suite, and developer - oriented DevCloud services. Huawei has accrued

years of practice in compliance and global top security authentication

services in addition to database services.

The above details of HUAWEI CLOUD coming into being embody the

idea of mastering the sword and the years of need accumulation as

mentioned at the start of this piece. HUAWEI CLOUD does not seek

to viciously competing with peers because it is focused on keeping

its efforts directed on what customers need and not on what the

competition is doing.

HUAWEI CLOUD solves customer requirements in the simplest and

most direct way possible, inheriting the 30+ years of expertise.

Find out how your organization can rise with HUAWEI CLOUD and

Grow with Intelligence.

Huawei's launch was big news for the industry. We started to invest in

the AI chip in 2016, but we had been investing heavily in chips for years

before that. For example, the SD100 iNIC released during HUAWEI

CONNECT 2018 took five years from design to mass production. This

is one difference between the full stack of HUAWEI CLOUD and those

of other cloud computing companies. As the underlying support of the

'full stack', the chip technology is one of the key points and Huawei is

the only one able to home grow its own chips, systems, software, and

everything else.

The full stack of HUAWEI CLOUD includes chips, chip enablement,

training and reasoning frameworks, and application enablement.

Huawei launched its Ascend 310 and 910 artificial intelligence chips

at HUAWEI CONNECT 2018. These chips can be used across the entire

scope of cloud, edge, and device. Huawei, usually keeping pretty quiet

in terms of its chip development, suddenly burst into the spotlight

with its AI chips. Zhang Yuxin had this to say:

The mastery is in handler, not the implement

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The Smart Future Is Here:

Winning the Next Decade on HUAWEI CLOUD AI

On October 10, 2018 at the HUAWEI CONNECT summit, Huawei launched its Full-Stack, All-Scenario AI Solution as Huawei's

formal introduction to the AI scene. Huawei's Rotating CEO Eric Xu described Huawei's business strategies in the development and

adoption of AI technology.

■ by Cai Fangfang

Huawei's AI strategy is based on continuous investment in cutting - edge research and finding the newest talent to help develop the newest

technologies. The Full - Stack, Al l- Scenario AI Solution utilizes state of the art resources to provide a reliable, groundbreaking solution, helping to

develop a global ecosystem and allowing customers to harness the power of AI.

Full - stack is designed to improve efficiency vertically throughout the profile, and comprises chips, their enablement, and training and inference

framework. All - scenario refers to horizontal frameworks, meaning this solution is perfect to improve deployment environments such as public

cloud, private cloud, edge computing, IoT devices, and so on.

The Full - Stack All - Scenario AI solution is powered on HUAWEI CLOUD. Although the cloud service brand was established just a couple of years

prior, it inherits the most complete tech portfolio in the industry forged from 30+ years of accumulated expertise in serving carrier, enterprise,

and consumer customers by its parent company. Providing key services in software, hardware, and solutions, has caused Huawei to become a key

industry pillar, and HUAWEI CLOUD BU one of its star players.

The general manager of EI service products at HUAWEI CLOUD, Jia Yongli said, “From day one HUAWEI CLOUD has brought the advantages of fullstack to everyone”. With full - stack technology at its core, this past year alone HUAWEI CLOUD served 8 major industries in over 200 enterprise

projects software and hardware integration and for all infrastructure layers. It combines industry knowledge with cutting - edge AI technologies to

help such industries as transport, logistics, and manufacturing gain the competitive advantages they need to stay at the top of their game.

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▌ All - Around Improvements in AI Capabilities on

HUAWEI CLOUD

Based on the new Ascend chip, HUAWEI CLOUD upgrades the performance of the infrastructure

at all layers, from the bottom layer to software framework to networks, creating a solid

foundation on which to run AI services.

The Smart Future Is Here: Winning the Next Decade on HUAWEI CLOUD AI

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First tier evolution: bottom-layer compute enhancements

Computing power, algorithms, and data are the three cornerstones of AI. Currently enterprises

produce vast amounts of data from cleaning, marking, and training, all of which cause a long

delay. In most cases, computing resources are scarce for such tasks.

The foundation of computing power is chip. At the HUAWEI CONNECT 2018 summit, Huawei

introduced two AI chips, the Ascend 910 and 310, which created quite a stir. These two chips

leverage Huawei's unique “Da Vinci” architecture.

Ascend 910 belongs to the Max series and features ultra-high computing power for cloud

scenarios. It is the world's largest AI chip to run on 7 nm technology, with its half-precision

computing capability reaches 256 TFLOPS (tera floating - point operations per second), double

that of the 125 TFLOPS rating of NVIDIA V100, and has a maximum power consumption of 350 W.

The Ascend 910 chip will be launched in the second quarter.

Ascend 310 is a Mini series chip that uses 12 nm technology and provides efficient computing

and low power consumption. It features 16 TFLOPS computing power, a maximum power

consumption of only 8 W, and an integrated 16 - channel HD video decoder. The system on a chip

(SoC) is the industry's most powerful SoC in edge computing.

It is widely known that Chinese cloud vendors do not produce their own quality chip, instead

buying from third - parties. Some vendors are in development, but it is still way too early for

such chips to enter service. Huawei is already using its Ascend 310 chips in its delivery of cloud

services, becoming the standard configuration in its high - end VMs, benefiting users with 16

times the inference power.

High - Performance Computing H6 ECSs now come standard with 16 TFLOPS AI inference

capabilities. For those requiring even higher levels of technological firepower, HUAWEI CLOUD

also provides 512 TFLOPS computing services in AI - enhanced VMs and containers. In training

scenarios, HUAWEI CLOUD provides bare - metal versions of VMs. A single node can provide a

maximum of 2 PFLOPS of computing capability.

In addition to the H6 service, HUAWEI CLOUD also provides Ai1, At1, and Physical.At1 services,

all of which are powered on the new Ascend AI chip technology. With the groundbreaking series

of cutting - edge cloud services leveraging these chips, HUAWEI CLOUD has made its strong

presence known, leaving vendors in the race to catch up.

Jia Yongli noted, \"Computing power has become a significant business focus for Huawei. It is

definitely not the only competitive advantage of HUAWEI CLOUD for artificial intelligence, but

rather one of countless advantages.\"

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Second tier evolution: full platform training and

inference framework

On top of the compute/operator advantages, Huawei also released a complete

software stack to yield the unique end - to - end optimizations that come from a

truly full - stack portfolio.

Most AI computing algorithms need to be trained on the cloud end before

being deployed at the terminals. However, many vendors do not provide chips

for terminals, and likewise chip vendors do not provide such cloud computing

services. Most AI application data needs to be migrated between training and

deployment. For enterprises, this puts them in a precarious position, but more

often than not, it is a waste of time, money, and effort.

The conversion of underlying layers covers many algorithms and operators,

meaning that despite its initial appearances that the system is running smoothly,

the efficiency is low. Huawei hopes to make this easier by implementing a single

framework covering public cloud, private cloud, edge computing, and remote

devices that can run in a variety of AI environments. It ensures AI can be set once

and run without further configuration, making life easier for the developers.

CANN and MindSpore constitute the core basic framework of the Full - Stack All - Scenario

solution.

The operator library CANN provides optimal development and operator

performance, including the Tensor Engine, which uses uniform DSL interfaces,

as well as automatic operator tuning, generation, and optimization. In the Tensor

Engine, Huawei uses the TVM concept proposed by Chen Tianqi and others. Take

the Reduce sum development case as an example, using CANN improves the

development efficiency by three times.

MindSpore is an AI framework proposed by Huawei for unified training and

inference that supports deep, reinforced, and enhanced learning. It can flexibly

adapt to different resource budget deployment environments, provide consistent

development experience at the device, edge, and cloud ends, and support

all mainstream machine learning and deep learning frameworks (including

TensorFlow, PyTorch, PaddlePaddle, Keras, ONNX, and MXNet). It is due to be

released in the second quarter of 2020, at which time Huawei will also introduce

the device's deep learning framework. The size of the framework is only 2 MB,

and the memory usage is less than 50 MB when MindSpore is running.

Together, CANN and MindSpore form the core framework for the

Full - Stack All - Scenario solution.

Third tier evolution: one - stop AI application

development platform

In addition to the scarce and expensive computing power, the AI industry's largescale development is hindered by low development efficiency. The entire process of

marking, training, and deploying an application is both time - consuming and labor -

intensive. To solve this problem, Huawei launched the ModelArts platform.

ModelArts is a one-stop development platform for AI developers. It provides data

preprocessing and semi-automatic marking for massive volumes of data, largescale distributed training, automatic model generation, model optimization, and

on - demand deployment of device - e - cloud models.

In addition, ModelArts can provide visualized management of the entire

lifecycle of AI development, covering original data, annotation data, training

jobs, algorithms, models, and reasoning services. It manages tens of millions

of models, data sets, and services, generates source tracing diagrams without

manual intervention, and selects any model to find the corresponding data sets,

parameters, and models. In particular, the training comparison result function is

highly acclaimed, even among Huawei internal developers.

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ModelArts Yields Four Main Areas of Acceleration

Fast data preparation

Data annotation and preparation are the most painful tasks for AI developers. 70% of the overall development time using conventional methods

was occupied by data preparation. ModelArts has a built - in AI data framework, which uses a groundbreaking AI mechanism and iterative training

platform to manage data and solve the problem of data volume. For scenarios with a large amount of data, ModelArts improves data annotation

and preparation efficiency 100 - fold.

Fast learning

ModelArts provides an automatic learning function, supports automatic model design and parameter adjustment, and allows developers to

quickly roll-out their applications.

Another key component is MoXing SDK, which supports rich model libraries, optimization algorithms, and various tool libraries, allowing

developers to compile and import algorithm code. ModelArts supports automatic parameter optimization as well as training, verification,

prediction, and model export. Developers only need to write a set of code and ModelArts can automatically implement its roll - out to single,

multiple, and distributed nodes.

Perfect even for AI beginners who want to quickly generate models, ModelArts also provides algorithm models such as RestNet_50, Faster_RCNN,

and SegNet_VGG_16 that cover most common application scenarios. All preconfigured models are trained using open source data sets and have a

leading model precision. Training algorithms can be implemented with just one - click, where you only need to configure the data path, log output

path, and Hyper Parameter automatic selection to start the training. In the future, more algorithm models will be launched to suit a variety of

demanding scenarios.

The Smart Future Is Here: Winning the Next Decade on HUAWEI CLOUD AI

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Fast training

To tackle the challenge of time - consuming model training, ModelArts uses the same model, data set, and equivalent hardware resources with its

state of the art optimization technologies, including cascading hybrid parallel technologies, to reduce the model training time by half.

For many carriers, large - scale cluster deployment where large amounts of data needs to be synchronized is a big issue. Currently, the best

achievements of the distributed training of big data sets have been that of the Fast.ai team operating on Amazon's cloud service, who completed

training within 18 minutes using 128 GPU instances simultaneously. However, lab results show HUAWEI CLOUD EI can use the same type of node

to complete the same tasks within 12 minutes.

Fast rollout

For scenarios where AI is largely adopted, model deployment is very complicated, time - consuming, and labor - intensive. For example, in the

Smart Transportation field, updated models need to be rolled out to cameras of different specifications and vendors simultaneously.

Using this example, ModelArts can push models and updates to all edge and end devices with just one - click. Cloud deployment also supports

online and batch inference to meet requirements of multiple scenarios, such as large concurrency and distributed scenarios.

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Huawei HiLens, a Development Tool Purpose Built for Visual Intelligence

HiLens is composed of an AI capability camera and a cloud development platform that provides powerful computing and storage space. It can

implement 100 - frame processing capability and millisecond - level face detection, meeting the requirements of large image processing.

In addition, HiLens is a lightweight container that features low resource usage, low network bandwidth, and fast download, which reduces the

difficulty of real - time system processing.

HiLens provides a complete set of secure and reliable one - stop skill development, deployment, and management services for individual

developers, enterprises, and device manufacturers. It can seamlessly connect to customers' industry devices and improve development efficiency

and productivity.

HiLens provides rich models and skills for control codes and models. ModelArts can first train any AI models, which then is implemented as the

basic development component for AI functions, which in turn are then directly deployed on any device using the Ascend chip. HiLens is compatible

with other mainstream framework training models. When deployed on the device side, these third - party models are automatically converted into

the MindSpore model to provide optimal performance and interoperability.

For conventional AI implementations in visual intelligence use cases, different processing methods are advantageous for research and

development than other scenarios. However, problems occur in complex and demanding application environments. For example, the recognition

rate of the face recognition system for machine vision detection can reach as high as 95% in ideal environments, but when tested in the field,

the recognition rate of visual detection is greatly reduced. HiLens provides online training device - specific models online based on the unique

deployment data of each device, improving model precision and enhancing user experience.

ModelArts and HiLens went live on HUAWEI CLOUD EI platform on the opening day of the HUAWEI CONNECT 2018 summit.

In addition to the groundbreaking developer-oriented tools listed above, HUAWEI CLOUD EI's entire bucket is much more comprehensive than it

was last year.

Currently, HUAWEI CLOUD EI has launched 142 functions from 45 services. For solutions, HUAWEI CLOUD EI provides three types of services:

General API, high-level API, and pre - integrated. Customers from wide - ranging technical backgrounds can find something suitable to them

and their demanding service environments. Data scientists, data algorithm engineers, IT developers, and even business personnel without AI

background can find easy - to - use solutions covering most cloud scenarios.

HUAWEI CLOUD aims to build an all-around AI ecosystem that streamlines underlying hardware and upper-layer software applications,

developers, and industries. Further it does not focus solely on ideas, strategies, or slogans. This is the foundation of what HUAWEI CLOUD has done

and continues to do.

The Smart Future Is Here: Winning the Next Decade on HUAWEI CLOUD AI

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▌ Intelligent Twins for Urban Management Applications in Huawei EI Suite

The Huawei AI Full-Stack All-Scenario Solution was launched at

HUAWEI CONNECT 2018 and is generally available for commercial

use. ModelArts, HiLens, and other developers from the full - stack

dimension were also exhibited, attracting large interest from

developers. Based on Huawei Ascend series chips and mainstream

heterogeneous computing components, the Atlas intelligent computing

platform has implemented AI capabilities in cloud, edge, and device

through various product forms, such as modules, boards, small cell,

and all - in - one machines.

At the same time, HUAWEI CLOUD EI industry solutions were released

and on display. These solutions cover many industries such as

public utilities, transportation, finance, logistics, education, and

retail. HUAWEI CLOUD EI has successfully completed projects with

major carriers, including Microsoft and Intel, and many enterprises

specializing in industry intelligence have demonstrated the intelligent

transformation to their services thanks to HUAWEI CLOUD EI.

In September last year, HUAWEI CLOUD launched their Enterprise

Intelligence (EI) services, including basic platform, general services (big

data, visual cognition, and voice semantics), and industry - specific

solutions. Later in 2018, HUAWEI CLOUD EI Enterprise quickly

launched its Smart Water, Smart Manufacturing, Smart Electricity,

Smart Transport, Smart Finance, and Smart Retail solutions, making

them available for commercial use.

By integrating industry know - how with AI, HUAWEI CLOUD AI acts

as the catalyst for industrial upgrades in three main scenarios:

repetitive and high - volume work, high-value work, and multi - domain

collaboration. By specializing in these domains, HUAWEI CLOUD AI can

break through barriers to help improve efficiency across industries,

transfer expertise from experts to common users, and break the limits

of human intelligence.

For repetitive or high - volume workloads, HUAWEI CLOUD EI services help

identify massive sets of frequently-used data in enterprise practices. For

example, two HUAWEI CLOUD EI services – DLS and Image Search – have

helped TukuChina automatically import and cross-check hundreds of

thousands of copyrighted images and tens of millions of images from the

Internet every day, with an accuracy of 99%.

For high-value workloads, AI that is loaded with expert experience

or industry insights can act as assistants to experts. The HUAWEI

CLOUD EI team has been working closely with KingMed Diagnostics,

a company that provides medical diagnostic testing. By leveraging

AI technologies, KingMed Diagnostics made breakthroughs in the

pathological examination of cervical cancer, improving the reliability of

in - house diagnosis with a sensitivity (true positive rate) of over 99%

and a specificity (true negative rate) of over 80%.

For tasks that require multi - domain collaboration and involve many

parameters, complex dependencies, and high dimensions, such as

industrial production and urban governance, AI brings with it new

ideas and methods. HUAWEI CLOUD AI works as a passageway to a

new world of groundbreaking technologies that are, for most carriers

and small - scale businesses, unattainable due to the prices.

The HUAWEI CLOUD EI City Intelligent Twins project is a typical

example of the multi - domain collaboration scenario. Based on digital

twins, AI collaborates with multiple technologies, such as cloud, big

data, edge computing, and Internet of Things (IoT), to achieve a complete

closed - loop system covering data generation and analysis. Through the

powerful computing power of the digital world, the physical world is

more intelligent.

At present, City Intelligent Twins continuously explores efficient

resource scheduling and configuration in transportation, emergency

services, environmental protection, water conservation, and energy

to solve more urban problems. When put into practice, this solution

improves efficiency, reduces city - wide energy consumption, and

improves environmental protection.

Li Qiang, the director of the traffic police department of Shenzhen

Municipal Public Security Bureau, shared several figures of real data

that demonstrates the significant changes brought by HUAWEI CLOUD

EI City Intelligent Twins.

• Since its adoption in the first half of 2018, HUAWEI CLOUD EI

City Intelligent Twins helped Shenzhen traffic police deploy AI

applications that monitor traffic violations, such as using mobile

phones when driving and not wearing safety belts, as well ensure

that those accused successfully face law enforcement. The traffic

police law enforcement volume in Shenzhen increased by 15%.

• Shenzhen traffic police are deploying the EI traffic intelligent

TrafficGo solution at 43 intersections in the Bantian and Longgang

districts in Shenzhen. This solution has shortened the average

waiting time of cars at key intersections by 17.7% when the online

signal configuration is piloted.

• Since the construction of a new operation command center, the emergency

response time of Shenzhen Traffic Police is shortened by 67%.

Another case of HUAWEI CLOUD AI technologies being deployed in

demanding situations is that of Shenzhen Airport. This airport has a

record over 1,000 flights a day, foot traffic of over 120,000 passengers,

and a direct boarding rate from terminal (bridge rate) of approximately

70%. Comprehensive technology was needed to keep up with the

demands, and +AI is used to implement intelligent reconstruction

of the airport's legacy infrastructure. Using Gantt charts and AI

automation, the bridge rate is increased to 80%, an increase of 10%,

which means that there will be 4 million people who do not need to

take a bus to get to their seat. At the same time, Shenzhen Airport is

working with facial recognition to achieve one-stop customs clearance,

aiming to reduce the queuing time of passengers by 15%.

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▌ All Eyes on HUAWEI CLOUD

In the future, migration to the cloud will become the norm. Because AI requires massive computing resources and storage space, cloud will be the

only environment for most enterprises to explore artificial intelligence. \"Cloud + AI\" is the driving force behind industry transformation.

CTO of the HUAWEI CLOUD BU, Zhang Yuxin, believes that the advent of the Cloud 2.0 era is significantly different from the Internet development of

the past decade.

First, he points the trend of how enterprises are actively moving to the cloud, especially when migrating key applications. Whereas in the past,

cloud has been used only in personal entertainment and consumption fields, in the Cloud 2.0 era, cloud has entered the production field.

Second, he notes how the frequency and severity of bottlenecks that occur in traditional Internet applications are no longer acceptable for

large enterprises.

Previously, internet applications mainly relied on traffic dividends, meaning that business growth correlated to the amount of traffic. However, the

traffic dividend will eventually have a ceiling, and the traffic dividend model is easy to copy, something other businesses are likely to adopt. In the

Cloud 2.0 era, the core of new Internet services has caused a movement from traffic dividends to data dividends.

Zhang Yuxin believes that in the Cloud 1.0 era, technical keywords, such as distributed, automated, and large - scale resilience, were used to

resolve customer problems, meaning that problems were categorized into one of these three pockets and customers were relatively naïve to any

alternatives. However, this is not the case in the new era because such troubleshooting is far from enough. In addition to security and reliability,

enterprise applications and Internet applications require intelligent intelligence, big data, and technology and system architecture. Cloud 2.0 is the

time for AI, for intelligent industries and carriers to find value in their vast volumes of data.

At HUAWEI CONNECT 2018, many technologies and their applications were demonstrated. The O&M platform and tool framework of the chip,

hardware, data center, basic cloud service, and application development platform were developed and put on display for the whole world to see.

Similarly, innovative basic AI model algorithms together with industry-oriented industry solutions quickly became the talk of the industry, and will

no doubt continue as Huawei keeps it foot on the accelerator. HUAWEI CLOUD has made many technical breakthroughs to cope with the challenges

of enterprise intelligence of today, and tomorrow.

In the Cloud 2.0 era, many surprises await us. HUAWEI CLOUD is here to guide you through the wilderness.

The Smart Future Is Here: Winning the Next Decade on HUAWEI CLOUD AI

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Adopting IaaS in Cloud Service Profiles

Ever since Amazon’s successful release of Infrastructure as a Service (IaaS), more and more competitors have followed suit and invested

in the IaaS field. Such is the current competition among cloud providers that, if a customer is not happy with one provider, they can

simply pick - and - choose between countless others until they find a more suitable option. For these cloud providers in a world where

the customer is in the driving seat, providing high - quality IaaS services carries the problems of time costs and missed opportunities;

for the customer, they simply want an appropriate solution for today and tomorrow. Likewise, they want an answer to the question:

Which IaaS is best suited to me and my business environment?

■ By Sun Haofeng

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▌ IaaS – What You Need to Know ▌ Reliability and Performance

▌ Full - Stack Capabilities ▌ Enterprise Services

Before we look into the advantages of IaaS from the customer’s

perspective, it is necessary to define the ins and outs of IaaS. Cloud

providers leverage IaaS products to provide users with all aspects of

IT infrastructure, including computing, storage, networks and other IT

essentials, allowing users to effortlessly run and deploy software, OSs,

and whatever they may need. By their very nature, any IaaS product

means users do not need to purchase equipment or manage data

facilities, but simply need to decide on the IT design, storage method,

and application deployment types. What’s more, IaaS allows users to

choose and implement between multiple network applications, such

as firewalls, routers, and load balancers, making deployment and

installation cheaper than ever before.

IaaS provides users with much - needed computing, storage and

network resources, as well as OSs and databases, providing a

reliable infrastructure that supports current and future business

needs and applications. IaaS provides services from the following

aspects: reliability and performance, full-stack capabilities, and

enterprise services.

If you look at companies who have successfully deployed cloud

services in the form of IaaS or Software as a Service (SaaS), the

underlying factor for customer attrition is solid user experience

and service uptime. The cost and scalability of one product can be

discussed, but ultimately, if said product cannot provide consistent

performance, then the user is going to choose a different provider. This

is particularly applicable to enterprise users, who will wander if basic

availability and quick response of key applications cannot be ensured.

For most products, general-purpose application systems, such as

OSs and databases, provide more - or - less the same capabilities and

functions. Needless to say it can be frustrating for customers trying

to assess the differences between products. The key to finding the

product that really stands out in terms of performance and reliability

stems from the provider's computing, storage, and network capabilities

and the interoperability between software and hardware. To produce

a service that comprises these strong features, cloud providers must

have a deep understanding of the cloud, pipe, and device. That being

said, the accumulation of such knowledge does not happen overnight.

The rise of interconnected terminals, mobility, Big Data, Internet of

Everything, and AI means traditional enterprises are faced with the

challenge of transforming digitally. Enterprises need to consider

migrating their conventional business to the cloud, and also develop

innovative distributed applications on the cloud through emerging

technologies. The top IaaS service provides flexible full - stack cloud

platforms featuring long-lasting performance that support chips,

hardware, software, and other solutions at all layers. The full-stack

cloud platform will act as a catalyst for future business, helping users

leapfrog their competitors whose infrastructure cannot keep up.

One of the most overlooked services provided by IaaS, enterprise

services provide a wide range of cloud services to users who want to

gain access and support to the cloud. Enterprise services using IaaS

products are different from conventional products sold from a vendor,

because the provider is selling the full - range of services, not just a

product. That is to say with a vendor, it is a one-time purchase only

each time, but with a provider, it's a longer process involving solutions

tailored to the individual customer. This aspect is especially relevant to

enterprise users whose high requirements are more likely to need the

support found within the cloud.

One important requirement of enterprise users with cloud access is

access to industry know - how from Huawei and other industry experts

that can help facilitate current and future business. Equipped with

powerful online and offline services, these services allow users the

ability to share their own experience and business insights and offer a

reliable support platform for customers worldwide, providing a strong

online presence.

Finding a product that excels in all of these aspects is difficult for

most enterprises, but it is a walk in the park for HUAWEI CLOUD.

With its impressive back catalogue of successful deployments and

industry partnerships across the globe, HUAWEI CLOUD is the obvious

go - to for any and all enterprises looking to scale out digitally at a

competitive price.

Adopting IaaS in Cloud Service Profiles

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▌ HUAWEI CLOUD and IaaS

transferring its technical insights to HUAWEI CLOUD, providing a one -

stop platform to help promote the technical innovation of its customers.

Below lists a detailed history of Huawei’s achievements in computing,

storage, and networks.

Huawei has leveraged its 30+ years of accumulated technology,

innovation, and expertise in the IT infrastructure field to offer a most

reliable product portfolio in the industry. Specializing in communication

field comprising intelligent terminals and storage, networks, and

computing fields, HUAWEI CLOUD has been the go - to cloud provider

for many consumers, operators, and enterprises alike. Now, Huawei is

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The achievements listed above demonstrate the unique position that HUAWEI CLOUD holds in the industry.

▌ Rising from the Strong Performer to Leader Quadrant

Since 2016, HUAWEI CLOUD has released 120 services covering

16 key fields, as well as over 60 solutions, and as of 2018, it has

released 872 applications. What’s more, high efficiency in product

development and application roll-out has caused the market revenue

to increase at a year - on - year rate of 700%. All of which is evidence

that, after 30 years of striving to be the best in the IT industry, Huawei

is reaching its goals.

Reliable. This word is most associated with Huawei and its products.

Being a leader in chips, hardware and software integration, operating

systems, security, and database development means customers

can place their full confidence in the full - stack capabilities of the

Huawei portfolio. With a comprehensive back catalogue of innovative

products and successful use cases, Huawei is the obvious choice for

enterprises wanting to transform their business digitally.

Forrester, the global research authority, recently published a report

titled The Forrester Wave™: Full - Stack Public Cloud Development

Platforms In China, Q3 2018, which evaluated the business, product,

and market strategies of public cloud companies operating in China. It

reported HUAWEI CLOUD is an industry leader in terms of technical and

full-stack product capabilities covering all IT layers, in particular the

localization services and ecosystem. This is a big step up from the 2016,

where HUAWEI CLOUD was reported as a strong performer. Huawei has

stepped into the spotlight with its achievements in the marketplace

and recognition from internationally renowned research firms.

Adopting IaaS in Cloud Service Profiles

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Future - Ready, Full - Stack Container Services

Accelerate Cloud Adoptions

Kubernetes has been building momentum for the last three years and is about to hit the cloud with hurricane - like force. The new PaaS

platforms running on container +Kubernetes will become the popular form of cloud computing. In the Cloud 2.0 era, cloud computing and

public cloud services are undergoing qualitative change as increasingly more enterprises want to do more than store their data and run

apps on the cloud, they want to be able to use the stores of data to smooth out their businesses. Intelligence - enabled services grafted

into the new infrastructure, represented by the container technology, brings revolutionary conveniences and incredible new levels of

freedom with avoidance of vendor lock - in, allowing a mix of technologies and other elements to enter the profile. The agility from the

new models available in the overarching cloud iteration helps enterprises solve digital transformation problems, break through technical

barriers, and implement more innovations.

■ By Li Feng, Zhang Miaomiao

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▌ Docker and Kubernetes Storm the Market

▌ No. 1 in China in Community Contributions

Kubernetes is now recognized as the

commanding management platform for

container orchestration.

With the maturity and development of

the Docker+Kubernetes technology, more

and more traditional fields have begun

to accelerate their adoptions. The PaaS

technology represented by containers

and microservices is helping enterprises

accelerate innovation in different phases

such as application development, testing,

and deployment on the cloud. The tech

also provides middleware services such as

message queuing, caching, and database

that match the production environment with

deployments ready in hours. The microservice

components can easily be split up for easy

management and the container orchestration

utilities allow applications to be deployed in

minutes or even seconds, bringing great value

to the ICT industry.

one ranking amongst Chinese tech firms for

many years straight. Currently, Huawei has

five maintainers to its credit. Huawei ranks

No. 1 in China and third in the world in terms

of commits (data source: cncf.biterg.io).

Huawei is highly engaged in tuning, cluster

federation, architecture design, security, and

other contributions. Huawei is also one of

the first vendors to obtain the Kubernetes

Certified Service Provider qualification.

In 2017, HUAWEI CLOUD earned a seat on the

Kubernetes Community Steering Committee

(13 spots in the world; Huawei is the sole

China - based company). In April 2018,

HUAWEI CLOUD won a top seat in CNCF's

Technical Supervisory Committee, with a total

of 9 seats. Huawei was the first company from

Asia to get such a seat. Huawei participates in

the highest technical decision - making level in

the cloud native domain.

To further promote container technologies at

home and abroad, HUAWEI CLOUD and CNCF

Foundation brought the cloud computing

event KubeCon + CloudNativeCon to China for

the first time in 2018. As a leader practitioner

of container technologies, Huawei announced

the open source gene container framework

KubeGene and intelligent edge framework

KubeEdge at the conference. At the conference,

Liao Zhenqin, general manager of the PaaS

Product Dept at HUAWEI CLOUD, said: “The two

pieces of tech are helping enable new levels

of performance for the Kubernetes ecosystem

in the gene and intelligent edge fields.” This

enables industry developers to build and

try Kubernetes technologies and lower the

threshold for industry customers to use these

new technologies. In the future, HUAWEI CLOUD

will continue to innovate based on cloud native

technologies and help build a prosperous

ecosystem. It is committed to providing

enterprises with more secure, convenient, and

efficient services and enabling more industries

to accelerate their businesses.

As a founding and platinum member of

CNCF, Huawei joined in the early stage

of the Kubernetes project. Optimistic

about the development prospect, it took

the lead in implementing the container

management system and reconstructing

its own business to suit the advantages of

running the environment.

Huawei, the world's largest telecom

equipment manufacturer, has eight data

centers spread around the world dedicated

to O&M, running over 800 applications in over

100,000 virtual machines (VMs). Huawei uses

the Kubernetes technology to transform its IT

system into a containerized one within a short

time. Based on the globalization attributes of

its own services, Huawei offers hybrid cloud,

cross - region, and multi - DC deployment

options. Huawei continuously contributes to

solving the issues the community faces and

works with other members to promote the

development and accumulate knowledge in

running Kubernetes.

Huawei has contributed over and over again

to the community, living up to its number

Container technology has become an

application deployment and O&M standard

of Internet companies. Now, more and more

traditional enterprises are also favoring the

tech. Containerized applications enable IT

application deployment and O&M to become

more agile with the efficiency improvements

from cloudifying multiple dimensions and the

resulting resource throttling and long list of

other capabilities from the adoptions.

Kubernetes comes from Google and in

2015 became the first incubation project

of the Cloud Native Computing Foundation

(CFCN). As an open source container

automation orchestration management

platform, it provides extended support for

deployment, scheduling, and container

clusters. Kubernetes has quickly become one

of the most followed open source container

orchestrators in the entire cloud industry.

After three years of market demonstration,

Future - Ready, Full - Stack Container Services Accelerate Cloud Adoptions

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▌ Full - stack Container Services Lead the Domestic Cloud Container Market

Being one of the earliest adopters, Huawei has implemented K8s in many of its products for internal use since 2013. In this process, Huawei has

accumulated rich practical experience and provides fully vetted, full - stack container services for enterprise users so they can easily cope with

the challenges of the Cloud 2.0 era and smooth out their cloud adoptions.

Components in HUAWEI CLOUD Container Services

2.Container - based delivery process

HUAWEI CLOUD Software Repository for Container (SWR) provides

an enterprise - class private image repository featuring high

performance, capacity, and security. It also provides the image build

and release pipeline ContainerOps to support automatic service

delivery. In addition, ContainerOps allows enterprise personnel

to continue to use existing tooling, minimizing the impact on

the original delivery process and enabling a smooth migration.

HUAWEI CLOUD Application Orchestration Service (AOS) provides

an automatic cloud facility management tool, which enables

enterprises to automate container development, testing, production

environment preparation, and routine configuration and change

with the convenience of preset templates, freeing enterprises from

complex infrastructure management work so they can focus on their

own business.

3.Containerized O&M processes

HUAWEI CLOUD provides the AOM (Application Operations

Management) and Application Performance Management (APM)

services to assist containerized service O&M, including various

O&M tools in addition to basic monitoring, logging, and alerting. In

addition, it provides advanced features such as global application

topology display and call chain tracing for fault locating and analysis

scenarios so that O&M personnel have a clear and comprehensive

view of application health.

4.Containerized architecture transformation

Cloud Container Engine (CCE) and Cloud Service Engine (CSE) provide two

microservice frameworks: Istio and Apache ServiceComb that run on K8s. The

two frameworks help enterprises implement the needed transformations

to their microservice architectures. For Java - based enterprise - class

applications, CSE provides a microservice framework with complete

service governance capabilities such as upgrade, downgrade, and

fault tolerance utilities that run on ServiceComb. CSE is compatible

with open source interfaces such as Spring Cloud and features excellent

throughput performance. CCE is also in scope with the Istio project,

provides a high - performance service mesh data plane, and provides

Kubernetes - native microservice governance capabilities for scenarios

requiring non - intrusive outcomes.

Since the rollout of CCE in 2017, HUAWEI CLOUD’s container services have been continuously innovating and leading the market. At the end of that

year, Bare Metal Service (BMS) was launched, allowing users to run their containers on their very own servers, delivering significant advantages.

Migu Interactive Entertainment uses CCE in the containerization of its services to improve system performance by 100%.

In 2018, Huawei CCE became the first container service in China able to run on Windows, allowing vast numbers of Windows Server users to

enjoy the benefits of containerization just as Linux users were already doing. HUAWEI CLOUD then collaborated with the ERP software vendor

Guanjiaopo to help them transform traditional .NET applications into containers. In September, HUAWEI CLOUD launched the Istio service mesh

feature on the basis of the original CCE service to simplify microservice - based reconstruction.

In terms of industry applications, HUAWEI CLOUD container services are being applied to a long list of industries. Based on Huawei's profound technical

accumulation in the software and hardware field, Huawei launched a GPU container featuring AI capabilities for significantly improved performance. In gene

sequencing, the K8s - based Gene Container Service (GCS) is introduced to provide a more economical, faster, and easier - to - use cloud computing platform

for sequencing vendors. In edge computing, the Intelligent Edge Platform (IEF) based on Kubernetes can collaborate with the computing resources and

applications at the device, edge, and cloud sides to meet real - time service requirements and optimize computing resources.

1.Containerized infrastructure

HUAWEI CLOUD provides two types of K8s services, including

Cloud Container Engine (CCE) and Cloud Container Instance (CCI),

which are certified by CNCF. The CCE service is a dedicated service.

Users can control the K8s cluster and manage infrastructure

resources and container services running in the environment. CCI is

a serverless service. Users only need to manage the containerized

services running on K8s. Clusters are automatically managed by

HUAWEI CLOUD, further reducing the adoption threshold.

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▌ Dual - wheel Drive of Continuous Innovation

project in the community. The microservice

framework ServiceComb also entered the

Apache incubation project in November

2017 and became a top Apache project in

October 2018.

Huawei began participating in Hyperledger

project under the Linux Foundation in 2016.

This project is the most influential open

source project in the blockchain technology

field. In addition, Huawei continuously made

technical and code contributions in the two

hottest sub - projects Hyperledger Fabric

and Sawtooth Lake, and was granted the

Maintainer position in the community (the

only China - based vendor to earn the title).

When Hyperledger established the China

Region Technical Work Team, Huawei won the

chairman position and continues to invest big

with such substantial contributions as the

Caliper project, a blockchain performance

evaluation tool it donated to the community.

HUAWEI CLOUD launched ServiceStage,

a one - stop cloud platform for applications,

which provides full - stack solutions for

enterprises to develop AI, blockchains,

microservices, mobile, and web applications.

The platform helps users quickly create

enterprise-class cloud applications and

accelerate service innovation.

Buyers of public cloud services are benefiting

from the direction in full - stack platforming.

Find out how the most complete service

catalog in the industry can help you grow your

business — Rise with HUAWEI CLOUD!

Piggybacking on Huawei's accumulation

in tech over the past 30 years, HUAWEI

CLOUD is leading developments with its

end - to - end technical strengths. Adhering

to the two - wheel drive concept of \"meeting

customer requirements and continuous innovation\",

we continuously innovate technologies and

make breakthroughs to exceed even the most

stringent of demands. The investment in the

open source market not only shows Huawei's

forward - looking technical insight, but also

highlights Huawei's determination and

strength in promoting the development of the

software industry.

In terms of influence in open source, Huawei's

contribution to the Apaches Community’s

CarbonData became the first top - level

Future-Ready, Full-Stack Container Services Accelerate Cloud Adoptions

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37Cover Story

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Continuous Innovation in Cloud Offerings

to Suit Customer Requirements

HUAWEI CLOUD won three awards at the Trusted Cloud Summit 2018, including the Technology Innovation Award for the

new network - enhanced C3ne ECSs released in June. At the first China HPC Innovation Contest, HUAWEI CLOUD C3 ECS

won the Performance Excellence Award and Huawei Bare Metal Server (BMS) won the 2017 - 2018 Most Influential Product

in Cloud Market of the Year Award at the annual IT Market China conference

■ By Sun Haofeng

HUAWEI CLOUD has won award after award in everything from C3 ECS to C3ne ECS and from P1 ECS to Bare Metal Server in recognition of its

strong technical strengths. Backed by the tens of thousands of R&D personnel across the globe and investments into the tens of billions of dollars

each year in the ICT field, Huawei has accumulated powerful service capabilities to offer the most comprehensive portfolio and exclusive endto-end performance enhancements in home-growing its own chips, hardware, systems, and other elements. HUAWEI CLOUD is winning over

customers in all industries with its hallmarked stability, award-winning security, rock-solid reliability, and long-term sustainability to innovate the

cloud-based infrastructure and solutions for organizations of all sizes in the Cloud 2.0 era.

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38Cover Story

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▌ Customer Success the Start and

Finish in Innovation

▌ Expanding Boundaries

Cloud computing has become the new utility (to the order of electricity,

water, and gas) that enables enterprises to turn on the tap or flick the

switch and get whatever they need in terms of IT resources. Customers

do not need to concern themselves with the back-end comprised

of the compute, storage, and network resources because all these

underlying elements are managed by the cloud service provider. With

the development of new Internet services, customers are raising their

requirements for cloud computing services, such as AI, big data, and

DevOps. HUAWEI CLOUD benefits from the 30+ years of technical

accumulation and has launched a series of powerful cloud servers,

GPU+FPGA heterogeneous computing services, high-performance HPC

solutions, and Dedicated Cloud (DeC) products and solutions.

Concurrency requirements run high in AI utility adoption, gaming, live

streaming video services, social networking, short video, and e-commerce.

To meet these requirements, HUAWEI CLOUD launched C3 ECS, which

became an immediate hot seller. The network - enhanced C3ne ECSs

now use customized Intel Skylake CPUs, Huawei - developed dual

25GE intelligent high-speed network interface cards, and software

technologies such as the integrated flow offload infrastructure, VirtioDirect, and seamless hot upgrade, breaking through the performance

bottleneck. C3ne ECSs inherit the computing capability of C3 ECSs,

which is 15% higher than the average level in the industry, and

improve the network packet forwarding capability of a single server

to the tens - of - millions range, providing excellent performance in

high - concurrency application scenarios.

In Limited and Infinite Games, author James Carse compares the differences between limited games, which have space, time, and psychological

boundaries, and infinite games that allow participants to expand the boundaries of the games as they approach them. The infinite games are

like the horizon, always in front of the user, keeping the game going. HUAWEI CLOUD is adopting the \"infinite gaming\" approach in the cloud

computing market. Mr. Zheng Yelai, Vice - President of Huawei and President of the HUAWEI CLOUD BU, raised the following requirements to the

team: \"Keep your eyes on the customer and the trends, don't stare at your opponents.\" Competing with peers limits the boundaries and restricts

the possibilities. Meeting user requirements is an infinite game, which Huawei knows well with its customer - centric approach. With this guiding

principle firmly instilled in the whole operation, HUAWEI CLOUD is set to become the big winner as it continuously innovates to meet the evolving

needs of the customer.

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Powered by Huawei Atlas hardware platform

Governments and financial enterprises attach great importance to the

protection of sensitive data and have escalated their requirements

on traceability and governance. The BMS and DeC services in HUAWEI

CLOUD provide users with exclusive space, dedicated computing

and storage resources, and full isolation through physical and VPC

networks. Customers can choose the precise services they need

for the specifics of the profile and requirements on performance,

applications, and security compliance. Huawei BMS is the only cloud

service in the industry that can enable automatic mount of shared

volumes. Customers can apply for Elastic Volume Service (EVS)

disks of up to 320 TB. The shared volume capability supports cluster

deployments of enterprise core database systems. The BMS service

uses Huawei - developed intelligent network interface card SDIs.

Users can obtain BMSs they need within five minutes by selecting a

proper configuration on the BMS console.

Data is the lifeline of enterprises. Traditional data center disaster

recovery (DR) solutions are notorious for their high costs, complex data

synchronization policies, and limited efficacy. Even if DR and backup

are implemented on a single cloud, faults cannot be fully prevented. To

ensure service continuity and data reliability, HUAWEI CLOUD launched

the Hybrid Cloud Disaster Recovery and Backup solution that covers

cross - cloud backup, cross - cloud DR, and cloud - based DR. This

solution is the first complete public cloud DR and backup solution

launched in China, which meets comprehensive requirements for

enterprise service deployment, data protection, and management and

provides enterprise services with multiple-level protection.

HUAWEI CLOUD offers a complete service catalog able to suit

the requirements of any profile. Data can be quickly migrated to

the HUAWEI CLOUD platform with the industrial - grade Teleport

transmission service. Teleport performs well in all weather conditions

and logistics scenarios. The container is equipped with GPS tracking

and encryption locking. The 2*10GE high - speed interfaces achieve up

to 120 TB of data importation in a single day. Huawei storage devices

support many functions such as data encryption, deduplication, and

compression to ensure complete data security throughout migration

to the cloud.

Continuous Innovation in Cloud Offerings to Suit Customer Requirements

Huge amounts of compute power are needed to handle video,

graphics rendering, scientific computing, genetic engineering, and

biopharmaceutical application scenarios. Combining the Huawei

Atlas hardware platform and NVIDIA P100 GPU computing P1

ECSs provide up to 74.4T FLOPS for massive parallel computing

resources and high-performance storage systems. Atlas, a smart

cloud hardware platform featuring impressive advantages in

resource pooling, heterogeneous computing, and second - level

deployment, is used to maximize performance of heterogeneous

computing capabilities such as GPU and FPGA compute resources. AI

performance is improved by 10 times compared with traditional x86

servers.

第40页

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Data - focused Security Agenda of the Cloud Era

Security mishaps in delivery of cloud services occur frequently. Leakage and loss of data produces huge losses to users, sometimes

even devastating impacts. Naturally, data security is a top concern for adopters who want the conveniences and economies that the

cloud offers yet are reserved about the associated risks. Providers of cloud services must be able to ensure the security and stability of

their offerings if they hope to stay in the game because any incident can severely tarnish brand reputation.

Supported by its impeccable record in providing ICT solutions prior to entering the cloud domain, Huawei is setting the bar in security.

Huawei has been providing carrier - class security services for organizations of all sizes for years, and has earned the full confidence

of those using the products and solutions in the most complete portfolio the industry has to offer. HUAWEI CLOUD is committed to

providing secure, reliable, and sustainable cloud services. It ensures platform security with full-scope cloud security products able to

meet the diverse needs of customers.

■ By Zhou Xue and Liu Hongshan

第41页

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▌ Wide Recognition

recognition, HUAWEI CLOUD earned CSA - STAR gold medal certification

in 2017. Many more certificates were added to the bin in 2018.

In February, Huawei passed the BSIMM security assessment with high

scores, and its software security capability ranked top 3 in the world.

HUAWEI CLOUD became the first in - country cloud service provider to

earn the certification.

In March, Huawei became China's first vendor to pass the PCI - DSS

certification with all platforms, nodes, and services in scope. PCI - DSS

is the strictest and most authoritative security certification standard

for financial institutions in the world.

In June, HUAWEI CLOUD passed the graded security protection level

4 certification of China's Ministry of Public Security with high scores,

signifying the brand’s lead in meeting the compliance requirements of

Graded Security Protection V2.0 and the ability to provide users with

more secure and reliable cloud services.

In July, HUAWEI CLOUD was awarded the ISO 27018 certification for all

platforms, nodes, and services in the portfolio. This award shows that

completeness of the personal data protection management system of

the cloud arm and its leading position in data security management.

That same month, Huawei also released the first complete public cloud

backup and DR solution in China: the Multi Cloud DR solution covering

cross-cloud backup, cross-cloud DR, and on - cloud DR scenarios.

The solution effectively improves enterprise business continuity and

ensures the security and reliability of critical data.

In August, HUAWEI CLOUD e - government platform passed the

cyber security review of the Cyberspace Administration of China in

recognition of the brand’s enhanced security capabilities. It also won

three awards at the 2018 Trusted Cloud Services (TRUCS) Conference

hosted by the China Academy of Information and Communications

Technology. HUAWEI CLOUD later won the Excellent Performance

Award from the British Standards Institution (BSI) for its outstanding

achievements in security and contributions to the industry.

In November, HUAWEI CLOUD passed the SOC1/2 audit on security

control measures. The third - party audit adds to the long list of

assurances that the internal control management practices of the

Huawei brand top world standards.

In November 5, all nodes and services passed ISO20000 certification.

HUAWEI CLOUD has been recognized by one international authority

after the other for its service management practices – customer can

rest assured that the offerings have been fully vetted in testing, live

networks, and third - party audits.

HUAWEI CLOUD has always been proactive in responding to

changes in the global compliance system and it quick to take on

the corresponding actions. In May, the EU released the General

Data Protection Regulation (GDPR), which is a new law on privacy

protection. It is the most important data privacy protection change

in the past 20 years, also the largest and most punitive privacy

protection law in history. HUAWEI CLOUD is responsive and ready

with systems and technologies, and has carried out a series of work

to fulfill GDPR requirements.

In July of 2018, Huawei’s CEO Ren Zhengfei said in a speech to

employees, \"In the cloud era, cyber security and privacy protection

issues will become increasingly more important. Cyber security

and privacy protection are certainly at the top of Huawei's agenda.\"

Incorporating Huawei's 30+ years of proven security practices, HUAWEI

CLOUD has built a full - stack security service offering more than ten

popular products across five main categories, including everything

from application security to security management.

In the network security field, Advanced Anti - DDoS provides 5 Tbit/

s defense bandwidth and achieves collaborative defense capabilities

across the entire network with the response time down to seconds.

Large - traffic attacks are thwarted and services remain online, helping

enterprises rest assured that their business can continue with the

strong and proactive defenses of HUAWEI CLOUD.

Overall host security is improved with such functions as asset

management, vulnerability management, intrusion detection, and

baseline inspection functions to intercept intrusion attempts and keep

sites protected around the clock.

Web Application Firewall (WAF) and Vulnerability Scan Service (VSS)

provide easy-to-use general purpose security extensions able to detect

and protect website traffic in real time, frustrating any would - be attempt

to tamper with content. Vulnerability scanning provides full - lifecycle

security detection from the coding phase to the online operation phase.

Database Security Service (DBSS) is an intelligence-enabled database

protection service that runs reverse proxy and machine learning

technologies. The service is able to provide such functions as sensitive

data discovery, data masking, database auditing, and injection prevention.

Data Encryption Workshop (DEW) covers Dedicated Hardware Security

Module (Dedicated HSM), key management, key pair management, and

several other available functions to keep data secure.

In the security management field, SSL Certificate Manager (SCM)

ensures data remains completely secure in transit. Cloud Bastion

Host (CBH) ensures channel security for at - scale deployments. The

Situation Awareness (SA) service provides insights into known and

potential on-cloud security threats.

After more than three years of research and more than one year in

development, HUAWEI CLOUD launched the AI - enabled Miranda

security platform during Huawei Connect 2018. The new platform

provides the intelligence - endowed advancements in efficiency of

traditional rule matching models for improved network - wide defense

with the inline AI capabilities. The following are just a few of the

accomplishments of the Miranda platform:

53% lowering of the missed alarm rate in Web Application Firewall Web.

47% lowering of the missed alarm rate in the Database Security

Service (DBSS).

Interception rate in Situation Awareness (SA) improved to 99%.

49% reduction in the false alarm rate for Advanced Anti - DDoS.

Achieved 90% detection rate in Host Security Service (HSS).

HUAWEI CLOUD works ceaselessly to improve security of all

environments to ensure complete security and compliance for the

full range of cloud platforms and services. In one example of industry

Data - focused Security Agenda of the Cloud Era

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Focus, Persevere, Breakthrough, Reapply – this is the basic concept Huawei applies to its

technical accumulations, with each R&D effort feeding off the collective. HUAWEI CLOUD

integrates industry-leading cloud security concepts and practices to forge its robust security

defenses. Huawei shares and learns from others to develop an overarching set of security

strategies with continuous improvement at the baseline. The multi - dimensional extensive

defense systems cover all sorts of architectures like IaaS, PaaS, SaaS, and dozens of cloud services.

With 30+ years of technical accumulation in security at its back, HUAWEI CLOUD commands a

strong position. Taking Huawei's internal DR drilling as an example, a single switchover involves

more than 500 systems with complex relationships. The volume of data switched during a

drilling event totals up to 100 PB for a single system. No data has ever been lost or become

inconsistent. Some events even involve up to 2,500 people who are able to continue to use the

ERP and other related systems without any perception that a drill is taking place. During one

drill event, more than 2,000 lines of revenue data were added and nearly 130,000 people visited

the official Enterprise BG website.

Huawei's HyperMetro data synchronization technology has gone through eight years of R&D

iteration. The data center DR solution has served more than 3000 enterprise private clouds.

Huawei now opens its technical capabilities to the public cloud, the industry's first storage

disaster recovery service able to handle multiple cross - regional AZs. In addition,

Huawei is the first to provide on - cloud cross - AZ storage DR services. It cooperates

with partners like Veritas and Information2 in the DR and backup field to build a

comprehensive DR ecosystem covering all imaginable customer scenarios.

Great things are built over time. Huawei has painstakingly carved out its

masterpieces in security technology over decades of accumulation. Huawei sticks

to strict service boundaries, never monetizes customer data, and pledges not to

invest in any applications or service partners, or contend for benefits with partners.

Huawei works intently with its ecosystem partners to ensure security of its cloud

service offerings and that everyone can win with HUAWEI CLOUD.

▌ Endless Pursuit in Building Security Capabilities

Huawei has continuously built up

its security capabilities over the last

30 years. These capabilities have

penetrated into each capillary of R&D

processes and systems at HUAWEI

CLOUD, building multi - dimensional

and full - stack security assurances.

Huawei has been investing big in security technologies from the start. The history can be traced

back to the establishment of Huawei Security Test Lab in 2000. In 2003, Huawei launched the

industry's first network processer - based firewall. In 2008, Huawei set up a joint venture with

Symantec to establish the Huawei Symantec security product line. The company later set up

a security competence center in 2011. In 2012, Huawei ranked No. 1 in the domestic market

for cyber security products. Huawei launched a series of cloud security solutions and services

in 2015, each making full avail of the accumulated tech and know - how from the decades of

investment. In 2016, the Key Management Service (KMS), and Anti - DDoS attack service were

launched in Germany and Spain. In 2017, Advanced Anti - DDoS, Database Firewall Service, and

a series of value - added security services were added to the catalog. In 2018, Huawei launched

AI - enabled platforms, including Miranda, Cloud Bastion Host, Container Guard Service (CGS),

and a series of other intelligence-enabled services with more slated for release soon.

Huawei has continuously built up its security capabilities over the last 30 years. These

capabilities have penetrated into each capillary of R&D processes and systems at HUAWEI

CLOUD, building multi-dimensional and full-stack security assurances. ▌ Demonstrated Full Tech Arsenal – Continuous,

Piggybacked Innovations

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HUAWEI CLOUD DevCloud – Helping You Realize Your

Potential

Every innovation and development in technology has, in some form or another, scaled the limits of human imagination. For example, the Industrial

Revolution revolutionized the human economy and way of life. Now, under the guise of cloud computing, all industries are undergoing subtle

transformations - be it business models, industry patterns, or technology applications and product forms. Similar to the story of shepherd boy

and Goliath, in this transformation we have witnessed the collapse of some giants, whose business runs on conventional infrastructure, and the

growth of many new emerging technologies, who have adopted digital transformation.

In the past, we used to say \"its as easy as turning on the tap or flicking on the switch\" to describe cloud computing's on - demand use and

pay - as - you - go characteristics. However, the benefits of using cloud computing instead of traditional data centers are the decisive motivation.

More than providing underlying resources, cloud computing enables enterprises to quickly, efficiently, and flexibly develop their services in the

Internet world.

However, if it were easy, everyone would be doing it. In the 5G era, enterprises' cloud requirements are continuously changing, such as the concern

to ensure quick iterations or the efficiency of product development. To cope with the demanding needs, more and more users are searching for a

low-cost way to digitize their business and, as a result, are trying out cloud services. Enter, DevOps.

■ By Chen Dongfang and Hu Derong

▌ The Chemistry Behind DevOps and Cloud

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Given the quality and quantity of emerging technologies and the fierce industry competition, enterprise customers are coming to the conclusion that

conventional infrastructure and storage methods are not suitable for the 5G era, and are seeking more efficient ways for their iterations, upgrades,

and applications to go online faster.

First made in 2009, DevOps is designed to help enterprises design and release their in-house applications to the cloud. Designed for the collaboration

between software developers, test personnel, and O&M personnel, DevOps automatically orchestrates links in the construction, testing, and release

of software, improving efficiency and reliability of applications.

Such is its success, DevOps is considered to be a near - perfect product by the majority of enterprises. The quality of DevOps speaks volumes, as more and

more enterprises have used it as a basis for developing their own in - house versions of the software. DevOps is perfect for forward - looking enterprises

looking to transform their business.

For scenarios where enterprises need cloud computing to migrate resource configuration to the cloud, DevOps has the answer. A complete set of tool

chains that support development, testing, and O&M process automation, DevOps helps enterprises build an automated software production line,

removing complex development processes and migrating additional services to the cloud. With DevOps, enterprises can focus more resources on

developing their core services.

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封面故事

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▌ Getting to Know Your HUAWEI CLOUD

DevCloud

Huawei leverages 30 years of knowledge in the R&D field to provide a solid base of DevOps practices designed for

large-scale development departments.

One of Huawei's star - studded products, HUAWEI CLOUD DevCloud worked with experts to begin the discussion

and preparation of DevOps standards, and continues to share Huawei's understanding of DevOps and its frontline

practices with the industry.

HUAWEI CLOUD DevCloud is committed to becoming the fertile soil from which software industry development will

grow, helping software service enterprises seize opportunities and build future - oriented competitiveness.

By 2025, it is estimated that 100% of applications will be developed, tested, deployed, or maintained on the cloud

in one way or another, and 80% of all enterprise applications will run solely on the cloud.

Needless to say there is the inevitable trend of software service cloudification, and in particular developers

worldwide need a professional platform that supports software development, testing, and management on the cloud.

HUAWEI CLOUD DevCloud is the crystallization of R&D practices and cutting - edge concepts accumulated by

Huawei over 30 years at the top. DevCloud provides a one-stop and lightweight DevOps service for developers to

help enterprises improve their internal functions and speed up high - quality iterations.

In the future, HUAWEI CLOUD DevCloud will work with all enterprises to provide stable and reliable DevOps tools

for development teams across various industries, and help software enterprises focus on service innovation.

DevCloud, software development is more simple and efficient, allowing

developers more time and money to focus on innovation and cope

with ever - changing demand. The DevCloud platform interoperates

with DevOps, providing a sophisticated foundation for enterprises to

improve the delivery and efficiency of individuals and teams, as well as

their brand image.

HUAWEI CLOUD DevCloud went live in 2015. Since then its popularity

has exploded with over 100,000 users, and software innovation centers

in 16 cities such as Qingdao, Xi'an, Hangzhou, and Chengdu, and

has established joint software training courses with 15 universities,

including Peking University.

\"The development cycle is shortened from six months to two months.\"

\"Provides all the required services for software development and

slashes software construction time from 5 hours to just 30 minutes.\"

\"The overall project delivery period is slashed by 50%.\"

Customer after customer are choosing the demonstrated success of

Huawei's DevOps platform.

Culmination of 30 years of technological accumulation – Bringing AI

to Everyone

Making the technology universal, ready for the future!

▌ DevOps at Huawei

Based on in-depth understanding of DevOps, Huawei extends its

R&D experience to software enterprises through the HUAWEI CLOUD

DevCloud platform. DevCloud is a one-stop, cloud-based DevOps

platform built with Huawei's R&D experience, cutting-edge ideas, and

advanced R&D tools. It provides tool services for developers to create

microservices, mobile apps, and gaming applications more easily and

efficiently.

HUAWEI CLOUD DevCloud – Helping You Realize Your Potential

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While many enterprises are well along their way in using DevOps, they

are still perplexed about what to do in terms of tool selection and

capability building. Selecting appropriate tools to adapt to the legacy

services or products can improve the quality and efficiency. Nowadays,

the increase of cloud - based service delivery has caused a trend of

enterprises adopting all cloud - based R&D tools.

The unique DevOps tool platform features complex construction.

The concept and methodology are considered the \"soul\" of the

tool platform, and likewise the tools carry advanced concepts and

methodologies on which it runs, which solidifies processes, experience,

and best practices as part of the infrastructure.

Huawei keeps the needs of developers in mind, and continuously

tries to smash through boundaries and glass ceilings. While success

is a milestone, Huawei knows it's how you respond to failure that's

important. Huawei develops and practices its own development

needs by learning from experience, a characteristic that is part of the

company's DNA.

HUAWEI CLOUD DevCloud enables development teams to use

cloud services to perform project management, code hosting and

checks, compilation and building, testing, and deployment, allowing

enterprises to release services on the cloud anytime, anywhere. With

Since the 1980s, Huawei's R&D has evolved from a workshop-based

model to a focus on agility, lean, and DevOps. DevOps is more than an

R&D model; it is a driver of business model transformation, influencing

many other industries. For example, equipment manufacturers will

transform from selling equipment to selling services, following the path

led by cloud service providers. This changes the relationship between

supplier and customers.

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Dare to Invest in the Future and Continuously

Build Up Strengths

In the early years of cloud computing, many did not think of it as new tech, instead considering it to be an economical way of

delivering IT. However, after ten years of development, cloud computing is now a pillar that carries an assortment of advanced

technologies. Vendors able to offer this category of tech demonstrate high technical strengths because the threshold is high.

At Huawei Connect 2018, CTO of HUAWEI CLOUD BU, Mr. Zhang Yuxin, shared his interpretations on the technical features of the

Cloud 2.0 era and the unique technological offerings of Huawei’s cloud service brand.

■ by Zhang Guilin

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▌ Cloud No Longer Just About

General - Purpose Hardware

Significant changes have taken place in industries and technologies in the Cloud 2.0 era.

From the perspective of development trends in cloud architecture, hybrid-cloud and multicloud architectures will become the main choice for large - and medium - sized enterprises.

According to a report from Gartner, 90% of organizations will use hybrid-cloud management

infrastructures by 2020. Enterprises are even placing their production centers on the cloud

with the new levels of assurance the tech is able to ensure. Key enterprise services are being

cloudified, and enterprise applications are grafting in higher levels of intelligent utilities.

In this change, benchmark cloud computing technology of the Cloud 1.0 era needs to evolve for

the Cloud 2.0 era.

In his speech, Zhang Yuxin pointed out that: \"Cloud technologies in the Cloud 1.0 era are

described as distributed, automated, large - scale, and elastic. In the Cloud 2.0 era, just

having cloud is far from enough. The platforming must be able to support higher levels of

reliability and security so enterprise can confidently place their core services on the cloud.

At the same time, enterprise and Internet applications are becoming more intelligent. The

cloud needs to support the new features while simplifying transformations and making the

catalog more cost-effective.\"

Therefore, in the Cloud 2.0 era, the cloud computing offering will no longer be a contest over

general - purpose hardware + software innovation. Instead, it needs to be further oriented

towards vertical integrations and optimized designs, including chips, hardware, and software.

Cloud service providers able to innovate in both chips and hardware have the advantage in

terms of end - to - end efficiency and collaboration.

In recent years, large cloud service providers have been researching their own chips and

hardware to enhance their capabilities in AI and IoT.

The Ascend 910 and 310 AI - enabled chips were released at Huawei Connect 2018 in October.

The 910 features the highest single - chip computing density in the industry. Ascend 310

features the strongest compute power in edge computing for SoC AI chips. Based on the newly

released AI chips, Huawei has built a full - stack, all - scenario AI portfolio. The chips have also

become a powerful support for the Enterprise Intelligence (EI) suite on HUAWEI CLOUD.

Dare to Invest in the Future and Continuously Build Up Strengths

第48页

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HUAWEI CLOUD booth at Huawei Connect 2018

▌ HUAWEI CLOUD – Standing on the Shoulder's of Giants At Huawei Connect 2018, HUAWEI CLOUD showcased a series of technological innovations to help smooth out digital transformations for

organizations. The innovations are all geared to the Cloud 2.0 era and include everything from chips and hardware for key enterprise services and

AI optimization to intelligence - endowed cloud services including compute, storage, network, smart enterprise cloud application platforming, and

a long list of others.

In terms of chip innovation, Huawei has grown its own AI chip and was the first in the industry to produce a 100 Gbit/s intelligent network interface

card (NIC), fourth-generation solid - state drive (SSD) controller, chip-based roots of trust (RoT), and plenty of other innovations. Starting from the

chip core, HUAWEI CLOUD delivers higher performance, lower latency, and stronger AI capabilities.

Zhang Yuxin pointed out the huge buildup of HUAWEI CLOUD in software and hardware has benefited from the 30+ years of technological

accumulations derived from Huawei's expertise in serving carrier, enterprise, and consumer customers. This is what is meant by the expression

that executives at Huawei are always saying: 'HUAWEI CLOUD, though new to the game, is standing on the shoulders of giants'.

Zhang Yuxin also mentioned that Huawei has achieved many exciting innovations in full - stack technology for the cloud data center, including

chips, hardware, data center management, basic cloud services, and application development platforms (including O&M platforms and tooling

frameworks). Huawei has a large number of technical breakthroughs in the vertical axis of basic model algorithms for AI and domain - oriented

modeling and algorithm application.

Since inception, HUAWEI CLOUD has been committed to technological innovation and released a series of industry-leading new products covering

cloud security, DevOps, cloud container engine, microservice engine, service mesh, computing, cloud storage, network, cloud DR, and the full range

of other services in the catalog. The cloud arm is always updating its offerings to ensure the products remain at the edge of technology.

HUAWEI CLOUD continuously integrates various advanced technologies accrued by Huawei over the past 30 years. Huawei continuously improves its

capabilities and places all the advanced technologies into the cloud service model, now complete with AI utilities for the wide spectrum of use cases.

On October 11, 2018, Jia Yongli, General Manager of HUAWEI CLOUD BU EI Service Product Dept, announced that EI suite available on HUAWEI

CLOUD now runs on the supercharged performance of the newly released AI chips. The High - Performance Computing H6 ECSs now come

standard with 16 TOPS AI reasoning capabilities. For those requiring even higher levels of technological firepower, HUAWEI CLOUD also provides

512 TOPS computing services in AI - enhanced VMs and containers. In training scenarios, HUAWEI CLOUD provides bare-metal versions of VMs. A

single node can provide a maximum of 2 PFLOPS of computing capability.

Jia Yongli added, \"With this series of cloud services, HUAWEI CLOUD will enter the new AI era.\" The offerings in the EI suite will increase to 45

categories providing 142 functions with the improvements in basic computing capabilities, covering various application scenarios of AI. Senior

data scientists, data engineers, entry - level IT engineers, and business personnel can all benefit from the affordability of the Inclusive AI strategy

from Huawei.

By the end of Sept 2018, HUAWEI CLOUD had rolled out over 128 cloud services in 18 categories. Over 60 solutions, such as SAP on Cloud, HPC

Cloud, IoT, and DevOps have been launched. Over 80 industry - specific solutions for such sectors as manufacturing, e - commerce, gaming,

finance, and IoV have been launched. The cloud service brand also recently launched the IPv6 solution.

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▌ Long - term Technological Innovation and

Continuous Building Up of Strengths

Technological innovation is the

core element of HUAWEI CLOUD

and precisely what has fueled

Huawei’s high-speed growth over

the decades. Zhang Yuxin classifies

Huawei's technological innovations

into three types: innovation in basic

technologies, long-term technological

innovation, and customer-oriented

innovation.

Zhang Yuxin said innovations at HUAWEI CLOUD are driven by two main elements: customers

and technologies.

Technological innovation is the core element of HUAWEI CLOUD and precisely what has fueled

Huawei's high - speed growth over the decades. Zhang Yuxin classifies Huawei's technological

innovations into three types: innovation in basic technologies, long-term technological innovation,

and customer-oriented innovation.

First, innovations in basic technologies are basically industry agnostic, including such generalpurpose tech like chips, operating systems, databases, virtualization, distributed storage, and the

newer accumulation in big data and AI capabilities. Huawei already possessed these capabilities

before it set up its HUAWEI CLOUD BU because Huawei also needed to have these capabilities to

serve its existing customer bases.

Second, long - term technical innovation refers to technologies that may not have entered the

production and R&D domains. Huawei calls it a \"three - generation strategy\" including application,

development, and research phases. Zhang Yuxin commented, \"In the market, products and services

sold by Huawei are in the application phase. We don’t talk about some of the products we are

developing. The research phase we keep even more secretive, many of the other departments might

not even know what is coming next.\"

Huawei's investment in R&D is amongst the highest in the world. Since 2009, Huawei has invested more

than CNY 400 billion in R&D. In 2017 alone, Huawei invested nearly CNY 90 billion in R&D. Mr. Zhang

jokingly asked, \"Where did all this investment go?\" The technology on the market is just the tip of the

iceberg; the part laying below the iceberg is much bigger, which is Huawei's preparation for the future.

Huawei has 80,000 R&D personnel located around the world. The company also has what it calls the

\"Noah's Ark Laboratory\" that serves as the AI research center for Huawei Technologies, with teams

spread around the world as well. The tech conglomerate has 16 research centers, 6 joint innovation

centers, and 45 training centers and is highly engaged with research institutes, schools, and

enterprises to innovate the tech that industry, education, and society need.

Mr. Zhang said it this way: \"The norm for researching before product adoption is 3-5 years. In many

cases, we are investing for 5 - 10 before we see the product actually make it to the market. Huawei

dares to invest in the future. We are willing to make such bold moves and predict what the future

needs. HUAWEI CLOUD BU stands on the shoulders of giants, benefiting from all this investment in

its packaging of the accumulated tech into cloud services.\"

The third type is customer - oriented innovation, including some engineering solutions for specific

use cases and service - oriented enabling technologies. In 2011, Huawei set up its enterprise

business group. It has accumulated extensive expertise in major industries for several years now

and that knowledge has gone into the corpus of the Huawei platforms.

Zhang further commented: \"Many Internet customers have come to HUAWEI CLOUD. Why do they

use the service brand? The performance of the computing instances powered on Intel Xeon Skylake

CPU tops the industry, helping customers sail through peak traffic events while supercharging

normal operation. This is also a sort of accumulation in experience from gearing solutions to

customer requirements.\"

HUAWEI CLOUD BU also has many of its own impressive innovation capabilities. Zhang Yuxin

commented \"HUAWEI CLOUD runs two main planes on its backbone network: a Multiprotocol Label

Switching (MPLS) private line network on the physical layer, and uses software - defined networking

(SDN) technology to manage it all. It also uses SDN - based technologies to form a virtual WAN on

the Internet, achieving dual - plane collaboration. For customers, in the unlikely event one of the

planes fail, the other can be used as the emergency channel.

Huawei's huge R&D team, global R&D center layout, and continuous investment in basic

technologies, customer - oriented technologies, and future - oriented technologies all contribute

to the services advantages of the HUAWEI CLOUD brand. The comparatively new arm of the

company continues to build up its storehouses and implement frequent iterations to ensure its tech

capabilities remain at the forefront and that its products are able to maintain a leading position

in the industry. Learn more about how the unique competitive advantages HUAWEI CLOUD can

empower your organization in the Cloud 2.0 era.

Dare to Invest in the Future and Continuously Build Up Strengths

第50页

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HUAWEI CLOUD Enables More Intelligence with

Its AI Chips

Since 1956, progress in Artificial Intelligence (AI) has ebbed and flowed, but recently, advances in big data and computing power

have transformed AI into a technology with increasingly profound effects on our lives. Never before has AI impacted our everyday

lives as it does today, but we can only effectively apply a technology after it is correctly understood and positioned. How, then,

should we go about positioning AI?

■ by Wang Haifeng

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