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Traditional computing systems assume the following concept: to run an application, you need a server, you can buy and maintain it yourself or rent it from a provider. Both options assume control over the capacity. At a minimum, you need to understand how many users will use the application.
Serverless technology works differently.
A serverless solution allows you to write and deploy code without worrying about infrastructure.
The company seems to say: “I want to think about the application, and let someone else take care of the servers.” The developer only needs to upload the code of his application to the content writing service platform, and the provider takes care of resource allocation, scaling and fault tolerance. At the same time, the application can instantly scale from zero to thousands of parallel containers without any preliminary settings.
Despite the name, physical servers are still in use, but developers do not interact with them.
The pay-as-you-go pricing model is often considered a feature of serverless solutions. It assumes that payment takes into account only the actual code execution time, measured in milliseconds. If the application is not used, the costs are zero. Objectively, this model is used by more and more cloud providers, this does not necessarily apply to serverless solutions. It is expected that
The global serverless architecture market will grow by 22% in 2020–2029
According to Exactitude Consultancy, it will exceed $38 billion by 2029. Amazon Web Services, Google Cloud, and Microsoft Azure are actively developing their serverless platforms, competing for a multi-billion dollar market.
FOR THE FINAL PRODUCT
Serverless computing reduces infrastructure maintenance costs and helps developers focus on the final product. Among the strengths of serverless evictions, four points are worth highlighting:
Cost-effectiveness. Businesses pay only for the computing resources actually used. There is also no need to allocate a budget for server infrastructure maintenance. This can lead to significant cost savings, especially for applications with variable workloads.
In some cases, switching to a serverless model can reduce cloud infrastructure costs by 70-80% by paying only for actual usage.
Easy management. Serverless computing automates many maintenance tasks, such as security updates, scaling, and server management. This means you don’t have to spend time and resources on these tasks and can focus on your application or service.
Automatic scaling. The infrastructure automatically adjusts to the load depending on demand. If the application suddenly becomes popular, the serverless platform will be able to handle the increased traffic without any manual intervention. However, you will have to pay more.
Reduced time to market. Since infrastructure management falls to the provider, developers can focus on deploying features or products. This shortens the development cycle and allows enterprises to implement updates and respond to market demands faster.
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