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AWS Lambda – Building a Serverless Architecture!

A non-profit group that oversees open-source cloud computing projects recently conducted a global survey with 700 participants.

According to the results, 31% of them are already employing a serverless architecture. 77 % rely on AWS Lambda.

AWS Lambda is becoming incredibly popular for serverless application development, allowing organizations to construct more scalable software and apps than server-based applications using EC2.

What is Serverless Architecture?

In a serverless architecture, applications, and services are built and run without the need to manage infrastructure.

Server management is handled by AWS, so you don’t have to worry about your application running on the server.

When you operate a serverless application, you don’t have to worry about OS setup, patching, or server scaling, which you would have to think about if you were hosting your application on traditional servers.

AWS LAMBDA

The AWS Lambda service is a function-based, high-scale, provision-free serverless computing service. It’s solely utilized in a serverless application’s computation layer.

AWS Lambda is using to create event-driven applications that can be triggered by a variety of AWS events. Therefore, it has changed the manner we build, architect, and host our apps over time.

The responsibility for provisioning, use cases, and pricing are the primary differences between AWS Lambda and other computing resources.

Prior to the popularity of agile solutions, operations teams used to allocate resources based on forecasting. They needed to make sure the computing and memory needs were within their system’s capabilities.

Why use AWS Lambda?

AWS Lambda’s key advantage is that it eliminates the requirement for traditional computing services, lowering operational costs and complexity.

This has a number of advantages, including quicker development, better operational management, scaling, and lower operational costs.

Benefits of using AWS Lambda

How AWS Lambda works

Let’s understand the working with an example of its use case.

SQS Example – Amazon Simple Queue Service(SQS) is a distributed queue system that allows web service applications to queue messages.

Let us assume our application adds all orders as payload to the SQS queue. We can either use EC2 to process those orders further or can use Lambda to poll & process payloads further.

We can use anyone to process our order details like order ID, name, shipping address, etc.

In case of a large number of orders either continuous or random traffic, we need a heavy EC2 instance to process orders and in the case of the lambda function, it can upgrade or downgrade the instance automatically depending upon the traffic.

To learn more about lambda Function, you can refer to the Blog.

What happens when we are using traditional services

When we are using AWS Lambda over traditional services

To learn about more AWS services, please refer to – https://cloudkul.com/blog/?s=aws

Conclusion

As a result, Lambda functions are definitely creative, low-maintenance, low-cost, scalable, and successful solutions to build Dynamics CRM services without having to host any servers.

However, Lambda functions are the way serverless applications will be built in the future.

In our next blog, we will be sharing the Implementation guide for AWS Lambda Function.

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