Serverless Computing


Consider a situation where you spend time developing applications and then deploying them without thinking about managing the servers. A Serverless Computing provider allows users to write and deploy code without the hassle of worrying about the underlying infrastructure. Focus on your application, not the infrastructure with Serverless Computing. The infrastructure has always been an issue for the developers. Serverless computing is a big solution for them as it relieves that burden from them. It is a cloud computing execution model in which the cloud provider dynamically manages the allocation of the machine resources. When we are building the serverless application, it helps us in taking our minds off from the infrastructure concerns because we do not need to manage any of the servers. The developers can dedicate their focus on their core products instead of worrying about managing operating systems or configurations for it. In this way lot of time and energy of the developers be saved. 

The main advantages of the serverless applications are:
The regular maintenance of any servers is not required. Also, we there is no software or platform to install for it. The scaling of the application is very flexible in serverless computing. They can be scaled automatically by adjusting the capacity of the configurations required to run the application. Ex: - Memory, processor requirement etc. They have inbuilt availability and fault tolerance. We do not have to decide the architect for these capabilities as they are by default provided by the services that are running the app. Serverless computing is more cost-effective than purchasing the servers with required configurations. The features like more efficient bin-packing of the underlying resources of machine can make it more cost-efficient than provisioning an auto scaling group. You don’t have to pay for idle capacity. There is no need to pre- or over-provision capacity for things like compute and storage. For example, there is no charge when your code is not running.

Some famous platforms for serverless computing are:
•AWS lambda
It stands for Amazon Web Services Lambda. It is the platform of Amazon that executes our code only when we need and has the features of automatic scaling, from a few requests per day to thousands per second. We must pay for the time we consume to use it and there is no charge when our code is not running.

•Microsoft Azure
This is the platform provided by Microsoft. It also provides all the features and here also we must pay for the time we use its services. It is known to improve developer productivity, focus on business goals and building intelligent apps.

•Google Cloud Platform
It is Google’s online platform that is based on serverless computing. It is a suite of cloud computing services that runs on the same infrastructure that is used by the Google internally for its end-user products

A serverless approach offers developers, teams and organisations a level of abstraction that enables them to minimise the time and resources invested in infrastructure management. Every component of an application benefit from this approach, from computing and the database engine to messaging, analytics and AI. Using an end-to-end serverless platform that provides a comprehensive set of serverless technologies is the best way to ensure that the organisation gains the maximum benefit from going serverless.



By haripriya.krishnakum Krishnakumar | 21 Nov 2019 | 0 Comments