AWS Lambda – Building a Serverless Architecture!

Updated 17 April 2024

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.


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

  • Lambda manages all of your operational and administrative tasks for you, such as capacity provisioning, fleet health monitoring, and deploying security fixes to the underlying compute resources.
  • AWS Lambda and other AWS services integrate to create a reliable website without the need to manage a single server or operating system.
  • You may create a cost-effective and in-house serverless email system with AWS Lambda and Simple Email Service(SES). You may instantly send HTML or text-based emails to a large number of recipients using S3 (where your mailing list will be stored).
  • Lambda functions will execute your code only when called directly or when triggered by some outside event.
  • It automatically scales, meaning it can handle anything from a few hundred to thousands of requests per second. So, you don’t have to manually add or remove machines.
  • You will only pay for the time your code will be executed.
  • NodeJS, Python, Go, Java, Ruby,.Net, and C#, etc are the current runtime environments available.
  • Each AWS Lambda function has its own resources and the file system views and runs in its own isolated environment.
  • You may use AWS Lambda to link your application server requirements with mass-mailing providers like SES. As a result, you’ll be able to concentrate more on the functionality your team requires under one roof.

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

  • The information was passed from a web server to an application server, which subsequently queried an automobile service. A user’s inquiry is lost if an application server crashes.
  • Every company is interested in cutting expenses, but traditional servers have increased both capital and operational costs for companies.
  • Optimal or complete usage was never the case with traditional servers. There had always been a problem with underutilized or excess capacity. As a result, scalability became a big challenge.

When we are using AWS Lambda over traditional services

  • The main advantage of the pay-as-you-go model is self-evident: you pay only for the time that you use processing the queue, lowering your operating costs. No need to pay if not processing anything.
  • When messages arrive in the SQS queue, lambda functions will be automatically activated.
  • The Lambda service scales up and down automatically depending on the number of in-flight messages in the queue.
  • Without having to explicitly configure these steps inside your Lambda function code, successfully processed messages will be discarded, and failed messages will be returned to the queue or delivered to the DLQ(dead-letter queue).
  • As a result of autonomous scalability, less time will spent on service maintenance. This, once again, frees up your technical staff to focus on product development and innovation.
  • Instead of creating a new copy, AWS Lambda may choose to keep an instance of your function and reuse it to serve a subsequent request to increase performance.

To learn about more AWS services, please refer to –


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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