Serverless computing and its benefits

The main benefits of serverless computing include quick code initialization, continuous expansion, and many more.

serverless-computing-1

The basic understanding of serverless computing on cloud computing platform is becoming increasingly important as the technology has grown and perfected in recent years, becoming increasingly popular. Some consider that we are living in the post-container period. And in fact, serverless is really a useful technology that can provide great benefits for programmers and organizations.

Traditional virtualization technology provides hardware abstraction and optimization. Containers do this with the operating system, while serverless performs on runtime environments. This means that developers no longer have to think about server resources when building and deploying applications. It allows them to focus on creating application value rather than spending time on resource management.

When serverless functions are provided as services by public cloud providers, it is often called Functions as a Service (FaaS). The chart below shows the responsibility of users when using cloud service models such as Infrastructure as a Service (IaaS), Container as a Service (CaaS) and Functions as a Service (FaaS).

serverless-computing-2

The great thing about serverless is that it provides functionality for processing your code data using many different programming languages. You simply need to upload your code and it will be there waiting until the job is done. In particular, you only need to pay for what you use (for example, computing time to process code for you) and these functions can be easily extended when needed.

Of course, there are still servers that handle this code, but these servers are completely managed by cloud service vendors and are completely transparent to users.

The main benefits of serverless computing include:

- There is no server to manage

- Quick code initialization

- Continuous expansion

- Users only pay for what they use

- Full flexibility

- Ideal for microservices

- Access many other cloud resources

Common uses of serverless computing include real-time data processing for many types of applications, building back-end services with high extensibility, automatically expanding systems, and linking systems into a series of integrated services, applications and processes.

It is really important to understand that serverless computing is not always suitable for all situations. The most appropriate use case is usually for new, pure applications on cloud-based architectures that often require flexibility, and for microservice architecture.

Serverless computing is not suitable for long-term applications that do not have flexibility, and are built on application independence. In some cases, it may contain implicit costs and may have security issues and standards that need to be considered.

serverless-computing

AWS Lambda is one of the most famous FaaS in the field. AWS Lambda is one of the first serverless services to be launched in the application technology industry and has the largest number of users today. Lambda supports Java, Go, PowerShell, Node.js, C #, Python and Ruby, and provides Runtime API to help you use any of the programming languages included when building your functions.

Each AWS Lambda function runs on its own independent environment, with its own file system and resources, the code is stored via Amazon S3 service and is encrypted. Although there is a default safety mechanism that removes some functions when there is a large number of functions executed at the same time, in theory you can run the functions with an unlimited number.

By: Lily Hokodi