Serverless Computing
A Revolution in Application Deployment


Develop applications without managing servers. Ideal for scalable,
variable-load tasks, but assess needs before adopting.

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Serverless Computing

Serverless computing or Serverless Architecture or Function as a Service (FaaS) is simply developing and deploying application without worrying about infrastructure or underlying server for hosting the application.

Serverless computing means developers and DevOps personnel don't need to deploy, configure, or manage servers or infrastructure for the application.

Serverless doesn’t mean no server.

It is win-win model for scalable, segregated applications in cloud.

An organization could opt for serverless where there is more background tasks, independent working services and high latency and variable load, then serverless could be considered.

It is not the approach suitable for all type of applications, as a business or organization it is recommended to assess current infrastructure, business needs and scalability, maintainability of applications while adopting serverless.

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How it works?

In serverless architecture independent code service or code function simply refer as “Function” is hosted by cloud service provider and it works on event driven approach.

The developers write code in project type “Function” and upload it in cloud and cloud service run it automatically in its infra, for action event triggers could be used, such as timer trigger or HTTP trigger or API call etc.

Upload Function Cloud
Set Trigger
Cloud Run Function

Each cloud service provider has produced serverless compute of their own

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Amazon AWS Lambda
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Microsoft Azure Function
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Google Cloud Function

Why serverless?

Companies are leveraging serverless architectures for the following reasons

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No infrastructure management

In the serverless model, a cloud provider manages the routine work; they provision, scale, and maintain an underlying infrastructure.

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Scalability

The cloud provider handles several tasks, such as operating system management, security patches, file system and capacity management, load balancing, monitoring, and logging.

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Faster

Developers can focus on functional tasks yielding more productivity for developers.

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Efficient Resource Management

It allows organization to better optimize resources.

Author


TD
Tushar Dikshit

Head of Microsoft Practice

Published on: December 23, 2024