What is serverless computing in simple terms?

Serverless computing is an architecture where code execution is fully managed by a cloud provider, instead of the traditional method of developing applications and deploying them on servers. It means developers don’t have to worry about managing, provisioning and maintaining servers when deploying code.

What is serverless computing example?

Serverless computing is an easily scalable, cost-effective, cloud-based infrastructure that allows enterprises to adopt cloud services by focusing their time and resources on writing, deploying, and optimizing code without the burden of provisioning or managing server instances.

What is the use of serverless computing?

Serverless computing enables developers to build applications faster by eliminating the need for them to manage infrastructure. With serverless applications, the cloud service provider automatically provisions, scales and manages the infrastructure required to run the code.

What is serverless computing in AWS?

Serverless computing allows you to build and run applications and services without thinking about servers. With serverless computing, your application still runs on servers, but all the server management is done by AWS.

Why is it called serverless?

So, why is it called serverless? The short answer is that the developer, the person who deals with the business logic, does not need to be concerned with the server. The service provider handles it. This is about a contract and defined communication (API) between two parties who handle separate concerns.

What is the difference between server and serverless?

Remember that traditional servers have fixed resources that users need to provision for use. On the other hand, serverless computing does not have fixed resources, so it can run multiple applications from a single server. Developers no longer need to consider the servers for practical purposes.

What is difference between server and serverless?

Is serverless cheaper than Kubernetes?

Serverless can become expensive. For example, AWS API Gateway is a great service but the cost can add up over time. All these integrations with more expensive service can drastically increase the cost. If you have a more or less steady load, Kubernetes will be cheaper.