Serverless Computing

THE BENEFITS OF SERVERLESS COMPUTING:

It lets you focus on the important thing; your product or service. Benefit from a platform without thinking about infrastructure and improving the productivity of developers. Get more time to focus on business goals and create products that reach the market faster. –        It is easy. As a developer, you do not need to manage servers. Also, do not install software that should then be maintained and administered. No infrastructure or settings. These are work moments that in many cases are time consuming.

• It is cost-effective and provides better cost control. As a company, you pay only for the resources you use. Data processing without server is event-driven and resources are allocated as soon as they are triggered by an event. You are only charged for the time and resources required to run the code – through sub-session debit.
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• It saves time. Working serverless is also much more time efficient. Both for the company and the customer. As I said earlier, it also contributes to the emergence of new products on the market.
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• It is flexible and scalable. Your application will be scaled up automatically. It may be that some function takes more power, so the platform looks like it just gets more resources. With a more traditional architecture, you have to scale up the entire web service. There will also be more seamless connections between the different functions.
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• It is reliable and safe. You get access to a robust, accessible and secure IT environment when needed.
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• It is easy to build intelligent solutions. In serverless, there is built-in Artificial Intelligence within reach of developers.
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PLATFORM AND SERVICES IN SERVERLESS COMPUTING

There are several different implementations of serverless computing. The main example today is AWS Lambda with about 70% market share, but Microsoft has Azure Functions, Google has Cloud Functions and Apache / IBM has OpenWhisk. AWS Lambda supports many application and backend variants, allowing you to run code without having to configure or manage servers. Languages supported in Lambda include Node.js, Java, C #, Go, and Python. As a company, you only pay for used resources and AWS measures the computing power you use in 100 milliseconds increments.

Combining AWS Lambda with other server-free services from AWS like S3, DynamoDB, API Gateway, Kinesis, SNS and SQS lets you create a powerful solution that has all the benefits we’ve previously watched. In AWS Lambda, there are also opportunities to integrate intelligence in the form of services such as Amazon Recognition, Polly, Translate, Lex or Transcribe in your apps.

AWS Lambda and serverless computing are used today in all types of industries and in all types of solutions. AWS itself points to, for example, iRobot with its over 20 million sold robots where the underlying platform is based on a serverless architecture based on AWS Lambda and AWS IoT or Thomson Reuters solution to handle and analyze over 4,000 events per second through Amazon Kinesis and AWS Lambda. See more case studies from AWS here.

No brainer, however, is that you can start with serverless and grow into it. Move individual features from a traditional platform to AWS Lambda or utilize server-less services when new features need to be used. Most importantly, serverless from now on is included as a platform to use the same as virtual machines or containers made earlier.