What is AWS Lambda?

What is Lambda in AWS?What is AWS Lambda and how does it work?

Lambda is a computing service that allows you to run code without the need for server provisioning or management. Lambda runs your code on a high-availability compute infrastructure and manages all aspects of it, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring, and logging. You can use Lambda to run code for almost any form of application or backend service. All you have to do is write your code in one of Lambda’s supported languages. Join AWS Training in Chennai, to learn more about what is lambda in AWS?

Lambda functions are used to structure your code. Lambda scalable effortlessly from a few requests per day to thousands per second, running your function only when it’s needed. You just pay for the compute time you use; there are no fees if your code is not running.

You can use the Lambda API to call your Lambda functions, or Lambda can run them in response to events from other AWS services. For instance, Lambda can be used to:

  • Create triggers for AWS services like Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB to process data.
  • Process Amazon Kinesis-stored streaming data.
  • Create your own backend with the scale, performance, and security of AWS.

Lambda is a service that is extremely reliable. See the AWS Lambda Service Level Agreement for further information.

When do I need to use Lambda?

As long as you can run your application code using the Lambda standard runtime environment and within the resources that Lambda provides, Lambda is an excellent compute service for many application scenarios. Because Lambda functions can run for up to 15 minutes per invocation, it’s appropriate for shorter, event-driven workloads.

You are solely responsible for your code while using Lambda. Lambda is in charge of the compute fleet, which provides a good mix of memory, CPU, network, and other resources to run your code. You can’t log in to compute instances or alter the operating system on given runtimes because Lambda maintains these resources. Lambda takes care of your operational and administrative tasks, such as managing capacity, monitoring, and recording your Lambda functions. AWS Online Course will enhance your technical skills in AWS Platform.

If you need to manage your own compute resources, AWS offers a variety of compute services. Consider the following scenario:

The Amazon Elastic Compute Cloud (Amazon EC2) provides a variety of EC2 instance types. It allows you to personalise operating systems, network and security settings, as well as the full software stack. You’re in charge of provisioning capacity, monitoring fleet health and performance, and implementing fault tolerance using Availability Zones.

You may use AWS Elastic Beanstalk to deploy and scale applications on Amazon EC2. The underlying EC2 instances remain your property, and you have complete control over them.

Lambda features

The following major aspects aid in the development of scalable, secure, and easily expandable Lambda applications:

Controls for concurrency and scalability

Concurrency and scaling features like concurrency limits and provisioned concurrency provide you fine-grained control over your production applications’ scaling and responsiveness.

Container images are used to define functions.

To develop, test, and deploy your Lambda functions, use your favourite container image tooling, workflows, and dependencies.

Signing the code

Code signing for Lambda adds trust and integrity restrictions to your Lambda functions, allowing you to ensure that only unaltered code from authorised developers is released.

Extensions for lambdas

Lambda extensions can be used to extend Lambda functions. Use extensions, for example, to make it easier to combine Lambda with your favourite monitoring, observability, security, and governance tools.

Blueprints for functions

A function blueprint is a piece of code that demonstrates how to integrate Lambda with other AWS services or third-party apps. Blueprints for Node.js and Python runtimes provide sample code and function setup defaults.

Access to a database

A database proxy is a programme that controls a pool of database connections and passes requests from one function to another. This allows a function to reach large levels of concurrency without draining database connections.

Access to file systems

An Amazon Elastic File System (Amazon EFS) file system can be mounted to a local directory using a function. Your function code can safely access and alter shared resources using Amazon EFS at high concurrency.


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