There are many news and blogs about the technology and solutions relating to new Digital services, Cloud Technology, Big Data, IoT.
And of course, no one can forget Artificial Intelligence and Machine learning.
These new tech services and solutions, all rely on one another from time to time. So today, let us discuss one other hot topic in the software world of architecture as well; Serverless Computing.
The three major Cloud Computing Service Provider companies namely Google Cloud Platform, Amazon Web Service (AWS), and Microsoft Azure are investing heavily in Serverless Computing.
It is a form of Utility Computing. First thing first, unlike what its name suggests serverless computing still requires servers.
It called is such because the server management with capacity planning decisions is entirely hidden from the operator/developer.
Furthermore, it writes applications that are purely serverless while using no provisional servers whatsoever.
Serverless is a method model of cloud computing with the cloud provider acting as a server
Event-driven and distributed patterns work well with this method with some required suitable changes.
Serverless architecture basically offers function as a service (FaaS) platforms, which execute application logic but do not store data.
So when the client requests an application, it triggers the server resources and microservices-based routines responsible for answering the request in the cloud.
Then it is sent to a container where it is executed, constructed, and gets sent to the client.
Moreover, you get other processes like authentication and Routing through BaaS (Backend as a Service).
Technologies like AWS API gateway belong to the serverless model. So all in all, it reduces the server work, increases invisibility, and lessens up the work cost.
Serverless takes care of resources, security, and scaling. Right now, Google has been successful in swiftly outshining Microsoft in serverless, but can it overpower serverless architecture AWS?
According to a recent survey by Digital Ocean for those who were using serverless, AWS was the most popular service as their tool (58%). Furthermore, the lack of a proper tool for monitoring and debugging was one of the primary reasons for not using serverless computing.
The serverless helps in simplifying and lessening up the developer’s work in deploying and managing code.
Simultaneously, removes much of the need for a traditional server way. Driven by immense scalability serverless FaaS is very well on the path to becoming a cloud-computing standard.
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