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This article will explain to you in detail how to correctly choose serverless and container-less enterprises, and the content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

For developers and enterprise architects, choosing between different technologies, frameworks, or architectures is an important part of their daily work. Especially in today's complex enterprise application environment, software development rules are changing all the time. We must consider the system architecture and computing environment before software development. In particular, what is the difference between serverless architecture and container architecture? It has become a big challenge for many IT professionals!

Amazon launched the serverless computing service Lambda in 2015 and Kubernetes in the same year. From the perspective of technology itself, both serverless and container have certain attractiveness. After several years of synchronous development, more and more enterprises want to migrate their workloads to different cloud platforms and be able to access data from different platforms. Therefore, we should not only find out the advantages and disadvantages between serverless architecture and container architecture, but also have a clearer roadmap, that is, when, or under what conditions, the enterprise should apply the appropriate architecture to the entire architecture design. So, next, we will combine specific use cases to illustrate the different values brought by the two architectures.

Serverless computing is a software architecture model that helps development teams reduce the cost of infrastructure or platform management to almost zero. Basically, all you have to do is provide the function code to cloud computing providers such as AWS, Google Cloud, Microsoft Azure, and stipulate that as long as I make a request, you can run the function for me. I only care about your services, not the maintenance of infrastructure, operating systems, or the scalability or availability of applications. Cloud providers set limits for all users, such as execution time and memory limits. Users may not know where the function is executed, how the function is isolated, or how the source code is written. Users only choose a trusted cloud according to their own security and compliance policies and accept the services they provide.

In addition, workloads on serverless are not limited to function execution, but can also be fully managed serverless, including access to data storage, authentication mechanisms, and so on. Therefore, as long as your computing power can meet the requirements of serverless services in terms of execution speed, security, resource space for a single operation, and cost, you can speed up the development of your enterprise in this way. increase business agility.

However, if you need a lot of computing power, there are many complex processes to manage, and the cost of generating functions is high, container orchestration tools come into play. The big advantage of this model, which encapsulates computing logic, is to avoid being bundled by the services of a cloud vendor. Of course, there are many benefits of containers, such as more security, we can make better network communication rules and customize access policies. In short, by keeping workloads in the cloud, users can switch applications at will in their own data centers.

The author believes that the smart choice should be to combine the different characteristics of the two architectures to greatly improve the development efficiency and flexibility. For the more critical applications, we have to control ourselves to obtain a large pool of resources, including CPU, memory, disks, and so on. Then, some relatively unimportant peripheral applications can be done through third-party services.

On how to correctly choose no servers and containers to share here, I hope that the above content can be of some help to you, can learn more knowledge. If you think the article is good, you can share it for more people to see.

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