Serverless Computing: What is it and uses?

Serverless computing allows developers to construct and execute apps without worrying about infrastructure. They write code, distribute it to the cloud, and let their provider manage any necessary infrastructure. Developers enjoy this paradigm as it enables them to rapidly build and deploy apps at low costs. This article examines serverless computing’s advantages and drawbacks as well as its workings.

How Serverless Computing Works?

Cloud providers control servers, storage, and networking in serverless computing. Developers just write code, package it into functions, and deliver it to the cloud provider’s platform. Developers don’t have to manage server capacity since the platform grows functionalities depending on demand. Function-as-a-Service describes this computing paradigm (FaaS).

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Serverless computing helps developers. First, it scales well and can withstand traffic surges. The cloud provider automatically scales functionality to demand. Second, serverless computing is cost-effective since developers only pay for functionalities used, not idle server time. Small enterprises and startups trying to save expenses might consider it. Finally, it can construct anything from basic web apps to sophisticated business solutions.

Serverless Computing


Serverless computing has its drawbacks. Developers who manage their own infrastructure may struggle, needing to trust the cloud provider with taking care of the infrastructure. It works best for short-term jobs rather than long-term ones since developers have less control over serverless computing infrastructure, making it less secure.

Use Cases for Serverless Computing

It builds many apps. Examples:

  • Web Applications: Authors can quickly and affordably develop web apps.
  • Event-Driven Applications: Serverless computing is ideal for creating event-driven applications, as it can handle high spikes in traffic and process vast amounts of data efficiently.
  • Microservices: Microservices are lightweights, autonomous applications that can be launched and developed independently.
  • Data Processing: It can be employed in data processing tasks such as parsing logs or analyzing information.


Serverless computing allows developers to build and run apps without worrying about infrastructure costs or complexity. Although it requires developers to learn it, security may be an issue; nonetheless, serverless computing is becoming more popular as an effective option for creating web, event-driven, microservice, and data processing applications.

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