Amazon Web Services, AWS, is a leader in the field. Their definition of serverless sounds: "Serverless Computing most often refers to serverless applications. Serverless applications are ones that do not require you to provision or manage any servers. You can focus on your core service and business instead of OS, OS patching, provisioning, right sizing, scaling and availability."
Serverless Computing is thus a model for running services or code in the cloud where the supplier dynamically allocates resources. Despite the name, servers are still used in the background, but all management and resource planning of these are done by the cloud provider. The developer does not have to worry about keeping track of the servers running the code, whether it's when developing the code or when it is taken into operation. As a business, you simply get more time for your product and can focus on what gives value to the customer and the user.
In addition to not having to allocate and administer individual servers, physical or virtual, serverless computing is even more in line with most modern thoughts about system development where features or services are broken down to being standalone and scalable. The term microservices is the one commonly used to describe the thought behind.
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.
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.
WOULD YOU KNOW MORE ABOUT SERVERLESS COMPUTING?
Does serverless and AWS Lambda sound interesting? Contact me and I will tell you more!