Yunjuan Yunshu: Enterprises go to the cloud

Background: The general trend of the digital economy era

Today, digitalization and intelligence have permeated every aspect of economic development and production operations. Driven by this business model, moving to the cloud is almost the "only way" and "the only way" for enterprises to achieve digital transformation. Whether traditional enterprises are pursuing digital rebirth, or new Internet enterprises are seeking new digital value, the most direct and priority path for them to quickly achieve digital transformation is to migrate their enterprises to the cloud.

It is necessary to speed up the construction of new infrastructure, strengthen strategic layout, accelerate the construction of high-speed ubiquitous, integrated space and earth, cloud and network integration, intelligent and agile, green and low-carbon, safe and controllable intelligent comprehensive digital information infrastructure, and open up information for economic and social development. "aorta".

Obviously, policy guidance has the most direct and obvious driving effect on enterprises to migrate to the cloud, and factors such as technological development also invisibly force enterprises to migrate to the cloud. At the same time, due to the disappearance of the demographic dividend in recent years, companies have gradually become more dependent on "innovation for development" in order to seek TCO goals and innovative effects in business processes, service models, etc.

Despite this, compared with European and American countries, there is a huge gap in the scale of China's cloud computing industry and the rate of enterprises migrating to the cloud. According to IDC estimates, the next 1-3 years will be the climax period of enterprises migrating to the cloud. It is expected that in 2023, Chinese enterprises will The cloud adoption rate will reach more than 60%.

In such a rapid cloud migration process, whether from the perspective of policy response or business innovation, enterprises will inevitably face challenges from all aspects when migrating to the cloud. This includes changing the ideological concepts of enterprises migrating to the cloud and determining whether enterprises must go to the cloud. Core issues such as the strategy and rhythm of cloud, the best path and method for enterprises to migrate to the cloud, etc. In addition, for the issue of "regenerative development" after enterprises migrate to the cloud, it is necessary to plan in advance and optimize resource allocation and enterprise production methods to achieve a comprehensive breakthrough. .

Thoughts: Lay a solid ideological foundation for enterprises to migrate to the cloud

From the informatization of IT construction, to comprehensive Internetization, to the current digitalization and intelligence, the digital economy has become the basic operating mode of China's overall economy. Implementing enterprise cloud migration is a common focus for enterprises and cloud service providers. However, at the current stage, factors that affect the pace and effect of enterprise cloud migration still exist, the most critical of which is the transformation of ideological concepts.

Problems that enterprises need to solve when migrating to the cloud

The most basic problems that enterprises need to solve when migrating to the cloud, or the most basic demands, must be "reducing costs and improving efficiency".

Reduce costs: The sharing and elasticity mechanism of the cloud computing platform helps refine the granularity of user resource investment through technologies such as virtualization and containers. While reducing the unit cost price, it also allows "pay-as-you-go", which is very important for small businesses. It is extremely important for enterprises. Enterprises can invest more flexible funds in core business areas. Even if the enterprise's business is terminated, there is no need to face the problem of disposal of old resources.

Improving efficiency: After an enterprise's applications are moved to the cloud, it is equivalent to having cloud computing intangible assets that are "available at any time and with unlimited resources", including computing layer resources with unified operation and maintenance capabilities, flexibly configured network resources, and a full set of security products and supporting facilities. It is inevitable that service capabilities can be selected by enterprises on demand and can improve the overall operating efficiency of applications; for development-oriented enterprises, cloud computing provides rich PaaS capabilities to help enterprises further lower the threshold of development and maintenance and quickly build applications. Improves the agility of enterprises in market competition.

Unavoidable challenges

We have seen the intuitive changes brought about by enterprise cloud migration. However, at the implementation level, there are many technical challenges in enterprise cloud migration, including differences in IT system environments, old architecture, business continuity requirements, and even changes in ideas. These are challenges we cannot avoid.

Three major dilemmas for enterprises migrating to the cloud:

“Going to the cloud is the same as moving to the cloud”; many companies’ cloud migration is still in the stage of cloud migration of infrastructure, which is the so-called migration stage, where they complete the one-to-one replication of local IT systems on the cloud. The system architecture is still old. The architecture and operating model are still old models. Everything does not meet the characteristics of "cloudification". Of course, it will be difficult for the industry to maximize the value of the cloud;
“Everything can be moved to the cloud”: Due to historical factors, many companies still have very traditional IT system software architecture and deployment methods, such as relying on “minicomputers, virtual tapes, professional graphics cards”, etc. These systems do not have Before going directly to the cloud, the old architecture needs to be optimized first. It is often these old components that drag down the efficiency and stability of the entire system;

(3) "Cloud migration is a panacea": Of course, some companies have this mentality. They believe that after analysis and research, they overcome all difficulties and finally complete the migration to the cloud, then everything will be fine. This is also one-sided, because cloud migration is only a starting point. The goal is not to "go to the cloud", but to "digital transformation". After moving to the cloud, there will be broad room for innovation in a series of production, development, and management models. The potential value still needs to be continuously explored by a group of talents who understand the cloud. .

Not just "on the cloud", but "excellent cloud"

In the current era, enterprises’ sense of urgency in digital transformation (accelerated by new infrastructure) and the need to recreate the value of enterprise data are also driving enterprises to find the optimal solution for digital transformation. While being driven by technology, they must also solve problems with users. The key issue of the integration of value system and production process is also the premise and foundation for users to achieve "business innovation" based on the cloud, that is, "Excellent Cloud".

All of these are ideological issues, not technical issues. So how can we help enterprises dispel their doubts about migrating to the cloud, find the best strategy for enterprises to migrate to the cloud, and truly point out the long-term direction of enterprises after migrating to the cloud, that is, help enterprise decision-makers It is very important to build the "ideological foundation" for enterprises to migrate to the cloud. Below, I will work with you to decipher many of the above issues, from "cloud migration" to "excellent cloud", and continue to explore the innovative development of enterprise cloud migration.

Solution: Exploring the innovative development of enterprise cloud migration

Direction 1: Unify the cost and performance of cloud migration

In order to ensure that enterprises can truly achieve the unification of cost and performance when migrating to the cloud, this is the "Excellent Cloud" strategy proposed from the perspective of resource application and scenario application. I think it needs to be considered from the following aspects:

From a broad perspective, the concept of resources can be extended to various fields such as computing, storage, network, database, security, etc. To achieve the unification of cost and performance, it is necessary to consider the reasonable allocation of resources in all aspects.

Purchasing appropriate resources

The selection of resources is mainly reflected in specifications. Cloud computing equips enterprises with multiple specifications to match various types of customer demand scenarios. Taking cloud hosts as an example, they include entry-level, general-purpose, network-optimized, memory-optimized, big data, etc. When selecting, you need to classify and match the business, and choose the appropriate CPU-to-memory ratio, main frequency, and intranet. Bandwidth, such as small and medium-sized websites with low load, can be satisfied by choosing a universal type. For scenarios such as video encoding and decoding, batch processing or online servers, it is necessary to choose a computing type, or even an ultra-high frequency or computing-optimized host. For in-memory databases, distributed caches, etc., then in-memory or even memory network optimization is your best choice. If it is a CDN requirement, then bare metal and native network solutions should be considered. The same goes for resource selection such as network and storage.

At the same time, you must avoid over-purchasing resources. The cloud is elastic. You don’t have to reserve too many resources. You can choose to pay as you go. At this point, the cloud service provider will also provide you with the most suitable matching solution.

The most suitable application scenario

When we use the cloud, although resource costs can be reduced, the rationality of the technology selection of the architecture itself also has a huge impact on the cost investment. For example, an application system needs to store multiple types of data, including core business data, User tag data, operation and maintenance log data, etc., for an inexperienced developer or application architect, it is very likely to use the Mysql database for storage. The purpose of doing so may simply consider the single technical structure and low learning cost. , easy to maintain. However, such an architecture is obviously unreasonable. After users go to the cloud, the resources they purchase are cloud host configurations (such as 8-core 32GB) that are often not as good as the previous high-configuration physical machines (such as 44-core 256GB), so technical selection Problems will definitely come to the fore. At this time, some people will complain that not only does cloud migration fail to achieve our goals, but the business experience is even worse. So what is the best approach to cloud technology selection?

For enterprise core business data using the relational database MySQL, there is no problem as long as the space design and index design are done well; but for user tag data, the pressure of using a relational database to store and access will be very huge. For tag portrait data, It has obvious hashing properties. Using a columnar database (such as Hbase) is the most suitable choice regardless of storage and read and write performance. It is unnecessary to use MySQL to store log data, which occupies expensive high-end computing and block storage resources. Yes, you might as well give Elasticsearch a try at this time. Function, performance, scalability and price are not problems.

Therefore, by dividing the different business scenarios within the application, adopting appropriate technology selections, and supporting low-cost and flexible cloud computing resources, costs can be further reduced and efficiency improved.

“Why not enjoy the results”

For many small enterprises, instead of building a new business support system, such as OA, financial management, leave approval, etc., it is definitely better to directly rely on SaaS products on the cloud, such as cloud space products on Mobile Cloud, which can host large, medium and small enterprises. Office platform, instant chat, corporate network disk, corporate email, weekly leave report...all kinds of functions are available. You only need to order a suitable corporate package, which can be easily completed for a few hundred yuan per month; why not enjoy the benefits and at the same time Cloud service providers have a rich service ecosystem with tens of thousands of companies, which is enough to meet the needs of small businesses.

Appropriate resource investment, appropriate application scenarios, and application of existing SaaS services are all factors that many enterprises consider when migrating to the cloud, but they are also the most basic and most effective in achieving unification of cloud costs and performance for enterprises.

Direction 2: Migration methodology for building services and migrating to the cloud

Of course, migrating enterprises to the cloud does not happen overnight. While helping to migrate systems to the cloud, it is more important to achieve smooth connection between new and old business systems without affecting the normal operation of user core systems. This leads to the second topic, which is the concept of "migration methodology", which is a requirement for "Excellent Cloud" from the perspective of cloud technology standards and service specifications.

Migrating to the cloud is a very challenging systematic project. The "migration methodology" covers three aspects of cloud migration: cloud migration strategies, standard processes, and guarantee methods.

Cloud migration strategy

Aiming at whether the enterprise's current IT system architecture meets the prerequisites for cloud migration, whether it is ready to invest in the cloud migration process and prepare for the long-term vision after cloud migration.

It is first necessary to select information systems that have business characteristics that are consistent with the characteristics of cloud computing and have obvious cloud value benefits to migrate to the cloud. Other systems need to be transformed and then migrated to the cloud at a selected time. There is a popular saying in the industry: "First simple, then complex, first edge, then core." "That's it.
Information systems that are about to go to the cloud may need to make some changes in order to prioritize cloud migration, such as data openness standards and service openness plans. In short, they need to distinguish between open and non-open capabilities to fully ensure security.
Enterprises need to evaluate and select specific cloud service models based on their own production, operation, and management stages and visions, such as infrastructure, platform systems, business applications, etc.
The stages of enterprise cloud migration. After research, when formulating a cloud migration strategy, the stage of cloud migration is mainly considered. That is, many systems that are about to be migrated to the cloud are divided into multiple stages, and they are migrated to the cloud in batches. At the same time, they solve the problem of batch migration. Business cutover, changes in technical solutions and resource investment brought about by the cloud.

(2) Standard process

Professional processes and management solutions are required. The simplest path for enterprises is to rely on the cloud service provider's professional team and technology to dispel the fear of migrating to the cloud and boost user confidence. The industry-wide cloud migration process includes the following four links:

Assessment analysis: Investigate clearly the current status of cloud enterprise users and systems, including business systems, system architecture, resources and operation and maintenance requirements, etc. The key point is to determine whether the prerequisites for users to migrate to the cloud are met and the most direct and indirect demands of users to migrate to the cloud. , identify the key and difficult problems that users may encounter when migrating to the cloud, and produce survey forms and analysis reports;
Planning and design: Based on the information collected during the evaluation and analysis phase, we help customers formulate system cloud strategies, cloud architecture design, migration implementation plans and verification plan designs, etc. The focus is on proposing targeted solutions to problems that need to be solved during the cloud migration process. , describe clearly the target architecture on the cloud after the system is migrated to the cloud;
Migration implementation: Determine the specific links and key actions of the process for cloud implementation. This stage requires the preparation of migration tools, preparation of cloud resource environments, verification of the feasibility of the migration plan, formal application and data migration actions, and business verification after cutover;
Optimization acceptance: After the migration is completed, necessary monitoring of the cloud-based business systems needs to be carried out, and architecture optimization suggestions and plans are provided as needed for users to decide whether to further optimize the cloud-based business system architecture. Finally, after the trial operation period, the customer formally accepts the migration work and signs the acceptance form.

(3) Protection means

Mainly refers to many means such as ensuring the safety and smoothness of the migration process and business continuity;

Security guarantee: mainly refers to the security encryption of the transmission link and data itself during the migration process in sensitive scenarios. Typical solutions are to use dedicated lines and migration tools to compress or encrypt data. The multi-tasking mechanism during data migration is actually a kind of security. Guarantee, after all, the data transmitted by each thread is incomplete data, and the risk of data being hijacked is reduced;
Smooth cutover: mainly refers to the team support, environmental monitoring, rollback mechanism, etc. involved in the cutover process. First, establish a three-party support team for customers, maintenance, and migration to be responsible for the entire process; secondly, monitor the environment availability before migration. If not all tests pass, the cutover will not be performed. This mainly refers to network permissions, machine configuration, and storage remaining space. volume, docking requirements, etc.; at the same time, a rollback mechanism needs to be provided, including data backup before migration, gateway traffic switching in case of failure, etc., with the focus on ensuring data consistency;
Business continuity assurance: For medium and large enterprises to migrate to the cloud, the need for business continuity assurance is the most common and core requirement. Common methods for business continuity assurance include: achieving database continuity by building database clusters, and through new and old application nodes. Join a cluster to achieve application continuity, control traffic forwarding through gateways to achieve coexistence of new and old clusters, and achieve overall continuity through business transformation.

Direction 3: Help users achieve business innovation on the cloud

When talking about enterprise cloud migration from the perspective of business innovation, the ultimate goal is to promote users to integrate into the cloud and truly achieve growth in the cloud. This is a requirement for “Excellent Cloud” from the perspective of cloud business innovation. It mainly includes innovation in user business processes, innovation in user experience, innovation in products and services, innovation in business models, and innovation in social responsibility (dual carbon). This article will introduce it through several examples:

(1) Innovation in business processes

For many small and medium-sized Internet companies, they often have strong R&D capabilities. Innovation in the business processes of such enterprises is reflected in innovation in R&D and delivery processes. Then the continuous integration pipeline and automated release mechanism provided by the cloud platform can fully meet the carrying needs of the R&D and delivery processes. Based on the cloud, the full-scenario cloud production business of development->delivery->operation->maintenance can be built. Technological innovation.

Development level: Focus on building low-code platform, business and technology PaaS (or middle platform);
Delivery level: Practice automation ideas, such as CI/CD, automated deployment, grayscale release and other strategies;
Operational level: Implemented observability and maintainability, integrated into the operating domain of cloud computing container images and container services;

(2) Innovation in user experience

For some enterprises that serve national users, their current website system is only deployed in one outlet. For example, the customer website is deployed in Guangzhou. However, for users in Northeast, North and Northwest China to access websites as far away as Guangzhou, their performance experience is bound to be insufficient. If you use the characteristics of multiple resource pools of cloud service providers (for example, Mobile Cloud has N+31+X nodes across the country), deploy services at multiple nodes across the country to provide the best experience for nearby users; of course, you can also combine business characteristics , choose to use the cloud's intelligent DNS and CDN solutions to shorten the user's access path and further speed up the system response speed and data transmission speed;

(3) Innovation in products and services

The many technical characteristics of cloud computing determine that it has multiple application scenarios, including edge, AI intelligence, interconnection/dedicated lines, etc. The widely distributed edge nodes and management and scheduling platform capabilities of cloud computing vendors can help users meet the resources and PaaS required for edge business architecture and realize the redefinition of computing power, applications, and networks; cloud computing’s AI intelligent training capabilities, models and The open API helps small and medium-sized enterprises to have "out-of-the-box" capabilities and quickly form AI capabilities based on typical user scenarios. It not only avoids repeated development work, but also has unlimited expansion capabilities. In addition, school users Orke Innovation users can complete rapid data training and simulation experiments based on the API of the cloud platform; using the interconnection and dedicated lines provided by cloud computing, it can support users to quickly upload data to the cloud and apply high availability and disaster recovery capabilities across resource pools. For companies engaged in data protection and value mining, effective and secure storage of data and fast reading and writing can greatly improve the output value conversion rate of applications and promote comprehensive innovation of products and services.

Innovation in social responsibility

With the advancement of "carbon neutrality" and "carbon peaking" plans, most state-owned and non-state-owned enterprises need to assume social responsibilities through continuous technological innovation and directly or indirectly promote energy conservation, emission reduction and green safety. As an important part of new infrastructure, cloud computing can improve the utilization of overall resources and create chips, graphics cards and servers for proprietary scenarios to reduce power consumption. At the same time, the continuous implementation of the "cloud-edge integration" strategy has further optimized the use of computing resources. structure, allocate high-frequency calls and low-latency business needs to edge data centers, promote the construction of edge networking for 5G bearer networks, promote computing power and networks, improve the PUE value of the data center, and lay an important foundation for the carbon neutrality plan. support.

In short, based on the open sharing, data concentration and network synergy of the cloud, the management ideas and business processes carried by the original IT system will definitely be difficult to adapt to the new business practices of enterprises. Enterprises are beginning to realize and gradually reconstruct SaaS applications and integrate New technologies such as big data, Internet of Things, and artificial intelligence strive to achieve optimization and innovation in business processes to meet the long-term needs of corporate business development. Therefore, enterprise cloud migration is not the end of enterprise reform, but the starting point of enterprise digital transformation.

Direction 4: Enterprise cloud migration has entered the era of "Fan Guangyi"

Today, the definition of enterprise cloud migration has been continuously generalized. Today, more and more new forms of cloud migration are gradually emerging. People use the cloud to carry out daily production and life, such as cloud office, cloud production, and cloud entertainment. , enterprise cloud migration has entered the "Excellent Cloud" era of "Fan Guangyi".

(1) Office on the cloud: Cloud empowers enterprises’ full-link digital transformation

By bringing mobile Internet and cloud computing technologies to enterprises, we also bring Internet thinking and flat and transparent management methods to enterprises. Use changes in working methods to leverage changes in management thinking to reduce costs and improve efficiency, and achieve proactive transformation of enterprises through "comprehensive human development". It reduces operating costs and improves operating efficiency for small and medium-sized enterprises, helps enterprises move from technological innovation to management method innovation, completes the migration of enterprise services and governance capabilities to the cloud, and achieves comprehensive digital upgrades. Especially under the new stock epidemic in 2019-2020, enterprises use various digital means to carry out business self-rescue, which has become a common choice for many enterprises. For example, most enterprises will choose mobile cloud enterprise network disk-cloud space, cloud conference- Cloud video, cloud mailbox-cloud mailbox and other enterprise office platforms and applications carry out daily data management and mechanism operations of enterprises. After two years of growth and exploration during the "anti-epidemic" years, this form of enterprise cloud office has gradually Become mainstream and truly achieve the goal of empowering enterprises to achieve full-link digital transformation.

(2) Production on the cloud: Cloud redefines computing infrastructure

Cloud computing is defined through new infrastructure, such as cloud desktops, cloud mobile phones, cloud computers and other cloud terminal forms. It supports CPU+GPU dual computing power architecture to achieve compatibility and adaptation for various types of physical terminals, allowing users to purchase cloud computing services. way, virtualize traditional expensive terminal equipment (the price of a mid-range notebook is about 6,000 yuan, which is usually replaced in about 3 years, and the annual cost is about 2,000 yuan, while the mobile cloud with the same configuration or even stronger configuration The annual usage cost of a computer or cloud desktop is only about 1,000 yuan), leaving a large amount of equipment purchasing expenses for the enterprise.

At the same time, through the powerful centralized processing capabilities of cloud computing, the up and down scheduling of terminal computing power is realized in the form of edge computing. It occupies an important part in the increasingly popular computing power network and helps government and enterprise users smooth the "last mile". Cloud, in a sense, it can be said that cloud has redefined computing infrastructure.

(3) Cloud entertainment: Cloud opens a new era of digital entertainment

The emergence of cloud games and other products has completely subverted people's entertainment methods. The cloudization of cloud game resources and operating processes has liberated terminal computing power and promoted cross-platform porting and platformization of games. It is an innovative application that fully utilizes 5G+ cloud computing technology to reshape the game development model and charging model. Major mainstream cloud service platforms have transformed into virtual operators for cloud-based games, driving the technical standardization of game developers and promoting industry standards. process. At the same time, cloud gaming reduces the say of game hardware shippers, allowing users to enjoy the most value-for-money service experience at the lowest cost.

For example, Mobile Cloud Games relies on China Mobile's powerful 5G network, edge cloud resources, and rich ecosystem. At the same time, relying on the centralized cloud, it can realize richer application scenarios such as cloud games and interactive videos, live broadcasts, advertising, education, VR/AR, etc. This is obviously not available in traditional games. A new way for people to entertain themselves on the cloud, Practitioner Cloud opens up more new possibilities in the era of digital entertainment.

Thoughts after migrating to the cloud: The evolving form of migrating to the cloud

Multi-cloud and hybrid cloud: An insurmountable transition phase for enterprises

In fact, enterprise cloud migration has gradually developed from pure public cloud and private cloud to multi-cloud and hybrid cloud. This is also an insurmountable transition stage in the development of enterprise cloud migration.

More enterprises have shifted from the original single cloud construction to multi-cloud and hybrid cloud construction that can bring more flexibility to enterprises. Cross-cloud migration has also become the focus of enterprises.

Multi-cloud gives enterprises more choices, which is a setback for enterprise development. Enterprises often choose 2-3 public cloud service providers to provide services for themselves, and even deploy the same SaaS products on different service providers. Through business active-active or Disaster recovery and data disaster recovery methods exist to ensure business interruption caused by the failure of a single cloud service provider. When enterprises choose multi-cloud vendors, they often refer to the enterprise background (private/state-owned), resource pool location (distance and number of centers), network links (operator access), and localized service capabilities (provincial, municipal, or even district and county level). level) and many other factors.

The existence of hybrid cloud is no longer a matter of three to five years. Enterprises build private clouds and purchase public clouds to achieve the most reasonable deployment plan of the enterprise's own applications and data. On the one hand, it achieves dual protection of applications and data, and also takes into account the realization of mobile office; On the one hand, it achieves the goal of internal and external classification, the preservation and security management of internal core data, and the openness of external data value. Hybrid cloud is also an indispensable form for large enterprises to migrate to the cloud. Large enterprises have hundreds of application services, and it is certainly impossible to migrate them all to the public cloud at once. Cloud service providers often provide detailed consultation for large enterprise customers. Work, tailor-made cloud strategies for enterprises, and formulate cloud and digital transformation plans for the next few years.

Cloud native: creating an accelerator for enterprises to move to the cloud

Cloud native is the theme trend in the current development stage of cloud computing technology, but cloud native cannot be achieved overnight, especially for government and enterprise customers who need to consider both history and future.

For new enterprises, cloud native is definitely the shortest path to enterprise digital innovation. The resources, platforms and application advantages of the cloud can help enterprises order on demand and choose the automation and semi-automation capabilities they rely on, in line with their own business. When the core values are organically integrated, the transformation of the enterprise will be more effective with half the effort.

For cloud computing, different industries have different needs at different stages. How to guide and empower enterprises from On Cloud to In Cloud is an eternal topic.

Mainstream cloud service providers and industry organizations are laying out cloud native architecture and evaluation models. Here, we take the "Cloud Native Maturity Model" proposed by the China Academy of Information and Communications Technology as an example to propose the application of enterprise cloud migration. The highest level is cloud native. At the same time, the maturity evaluation standards for cloud native applications are proposed through three aspects: basic resource domain, application research and development domain, and service governance domain:

It can be seen here that enterprise applications and implementation of true cloud native need to consider three aspects:

The first is that the selected cloud service provider needs to provide the basic resource capabilities required for applications to be deployed on the cloud, and whether it can provide sufficiently powerful elastic resource expansion, disaster recovery and self-healing, operation and maintenance monitoring and automation capabilities for the deployment and operation of applications. ;
In addition, in the development phase of the application itself, appropriate management methods should be selected, such as agile R&D, CICD pipeline, automated testing and release management, grayscale release, etc. proposed under the DevOps concept. It is necessary to make full use of the capabilities provided by the cloud platform. Achieve efficient and stable corporate R&D and delivery;
Finally, the service governance capabilities reflected in the application architecture use the support capabilities provided by the cloud computing platform, such as MSE, for non-functional aspects such as registration discovery, traffic management, fault tolerance and degradation, daily governance and configuration management. It is crucial to build basic governance capabilities for microservice engines, cloud logs and cloud monitoring products, application performance management APM, etc.

The above three points also point out the important factors that need to be considered for enterprise applications to implement cloud native. For enterprises, cloud native has become an "enterprise cloud accelerator."