Serverless Computing With AWS Lambda

Serverless computing is a model of cloud computing (or specifically Function as a Service) that executes code without requiring the use of servers. AWS Lambda is a serverless computing service provided by AWS. It allows developers to run code in response to events and automatically manages the computing resources required by that code.


AWS Lambda supports several languages, including Node.js and Python - but JavaScript is the language most used by far as developers use it natively on the browser side for web applications and in back-end environments with NodeJS.  


This blog will introduce you to serverless computing and explain how to create serverless applications with AWS Lambda.

So Let’s first understand What is Serverless Computing?

Serverless computing is a cloud computing model where application services such as database management or API gateways are provided through a managed service that dynamically manages the allocation of resources and automatically scales to meet the needs of an application at any time without any manual intervention from the developer team... 


The term "serverless" does not mean that there are no servers involved at all! In fact, some servers are always running behind the scenes for the backend processing of your code and running your functions whenever needed .... 


Developers spend time and money on server provisioning and management in traditional cloud computing models. There is no need for programmers to worry about server management, scalability, or infrastructure setup with serverless computing; they pay only for the computing resources their code uses.

How does AWS Lambda work?

AWS Lambda is a serverless computing service that runs your code in response to events and automatically manages the compute resources and capacity (such as memory and storage) required to run your functions on your behalf – you pay only for the requests that are processed through your application and the duration for which those requests are used. For example: if a user uploads an image to your application's S3 bucket and then triggers an `s3_object` event on an object in AWS S3, when this event occurs, the lambda function is triggered and automatically starts processing the image object with image resizing operations and a watermarking operation and finally stores the output of this function to the destination of your choice.

Benefits of AWS Lambda

  • Reduced Operational Costs: Since developers do not have to manage servers or infrastructure, they can focus on writing code, which can reduce operational costs.

  • Scalability: AWS Lambda can automatically scale computing resources to match the demand of the application.

  • Flexibility: AWS Lambda is a popular option for developing serverless applications due to its adaptability and support for multiple languages.

  • Pay-per-use: Developers only pay for the computing resources used by their code, which can be more cost-effective than traditional cloud computing models.

Conclusion

AWS Lambda is a powerful serverless computing platform that allows developers and organizations to easily build and run applications without provisioning and managing any server infrastructure and scale up or down as demand changes for an application  /service without any downtime and no manual intervention! This can lead to reduced operational costs, increased scalability, and greater flexibility.

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