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What is AWS Lambda?

AWS Lambda eliminates the need for traditional computing services and aids in the creation of serverless applications, lowering operating expenses, speeding up the development process, simplifying operational administration, and increasing scalability and productivity. It is an important AWS service you need to know. So, in this blog, let’s discuss what exactly AWS Lambda is and how it works. The following are the topics we are going to cover in this blog. 

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What is AWS Lambda?

AWS Lambda is a serverless, event-driven computing technology offered by Amazon as part of Amazon Web Services (AWS). This means Amazon Lambda handles all of your infrastructure requirements such as which AWS services to deploy and also how to maintain them.

Rather, place a program on Lambda, which is written in one of the programming languages and runtimes, and submit them to AWS Lambda, which then executes them quickly and flexibly.

In AWS Lambda, code is run in reaction to events in AWS services such as adding/deleting files in an S3 bucket, making an HTTP call to the Amazon API gateway, and so on. Amazon Lambda, on the other hand, should only be utilized to do background activities.

It allows you to concentrate on your core product development and business functionality rather than handling operating system (OS) access management, updating, right-sizing, provision, scalability, and so on. Deriving multiple data outputs from a single source is one of the live AWS Lambda examples.

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Why is AWS Lambda Crucial for Serverless Architecture?

The concept of being “serverless” might be intimidating for many businesses. Many serverless apps may be completely functioning with only a few lines of code and the proper tools if best practices are followed and the right tools are used.

AWS Lambda Architecture is one of the major choices for running the application code while developing Serverless apps since it supports many of the most common languages and runtimes.

In a typical, server-based context, using AWS Lambda layers as the primary logic of a serverless application can enable quicker development speed, greater experimentation, and creativity.

With a Lambda service in AWS for computing, a database management system, and a service that provides an HTTP gateway an AWS Lambda Serverless stack can be built easily. Amazon Lambda also interfaces with a variety of other AWS services along with API Gateway, DynamoDB, and RDS.


AWS Lambda Features

In this section, we are going to discuss some essential features of AWS Lambda which assist in the development of scalable, secure, and readily extendable Lambda applications. The following are some features:

These are the features of AWS Lambda. Now, Let’s talk about how AWS Lambda works. And what is the Lambda function in AWS?


How Does AWS Lambda Work?

First, you need to upload the  AWS Lambda code or you can directly write it in the Lambda code editor in any language that Lambda supports. It supports a variety of AWS Lambda languages, including Java, Python, Go, and C#. AWS Lambda assists you in uploading code as well as the event information that should be used to trigger it.  You need to mention the triggering conditions that activate the code.

An AWS Lambda function is a piece of code that runs on the Lambda runtime environment. The AWS Lambda function is basically used when you just require a function for a short time.

AWS Lambda’s whole infrastructure layer is controlled by AWS. So, when an event occurs, Lambda executes the related code by selecting the finest resources available in the infrastructure ecosystem to execute the event. As a result, organizations can manage their IT infrastructure more efficiently.

The control plane component of the Amazon Web Service  Lambda run-time environment is made up of APIs that make using AWS resources for application execution easier. Several instances of the same function, or separate functions from the same AWS account, can be performed concurrently, which is one of AWS Lambda’s unique architectural characteristics. Other functions never have access to this execution environment.

Consumers are then charged based on the quantity of allocated memory and the length of time it takes for the operation to execute. AWS Lambda pricing is very reasonable. AWS Lambda costs you when the Lambda code runs, not if it doesn’t.

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Best Practices of Amazon Lambda Function

Here are the top AWS Lambda function recommended practices:


Advantages of AWS Lambda

Here we will see some key benefits of AWS Lambda:

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AWS Lambda Use Cases

Now, in this section, let’s discuss some use cases of AWS Lambda. AWS Lambda is used for a variety of applications, some are mentioned below:

  1. It assists with the ETL procedure
  2. Data can be filtered and transformed using AWS Lambda.
  3. Data processing (real-time streaming analytics) can be done with AWS Lambda
  4. It may be used to create web apps.
  5. Backends that can scale (mobile apps, loT devices)
  6. It enables us to do real-time file and stream processing.
  7. Backups of routine operations that are automated
  8. Use in Amazon goods such as Alexa Chatbots and Alexa/Amazon Echo

Limitations of AWS Lambda

Below are some limitations of AWS Lambda: 

  1. The AWS Lambda service is not appropriate for small projects.
  2. The maximum size of an event request is 128 KB.
  3. Its memory capacity ranges from 128 to 1536 MB
  4. AWS Lambda limits the code execution timeout to 5 minutes.
  5. The number of concurrent executions is capped at 100.
  6. Lambda functions allow you to write logs to CloudWatch alone. This is the only way to keep track of or debug your functions.
  7. Because AWS Lambda relies solely on AWS for infrastructure, you won’t be able to install any extra software if your code requires it.
  8. AWS Lambda is totally reliant on AWS for infrastructure; if your code requires it, you won’t be able to install anything else.


Therefore we have come to an end to this blog. We hope you have understood- what exactly is Amazon Lambda? and how it works along with the use cases and limitations of AWS Lambda. It is a versatile and very useful service of Amazon. It offers various features that make the designing of serverless applications easy and simple.

It is a valuable resource tool for the project of development stack. However, in order to get the most out of this service, one should be familiar with its best practices.

Head to our AWS Community if you face any doubt regarding this topic.

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