AWS Lambda is a feature that helps to run code without provisioning or managing servers. We need to pay only for the compute time we consume – there is no charge when our code is not running.
AWS Lambda is an ideal compute platform for many application scenarios, provided that you can write your application code in languages supported by AWS Lambda (that is, Node.js, Java, Go and C# and Python), and run within the AWS Lambda standard runtime environment and resources provided by Lambda.
Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.
AWS Lambda Features
- Flexible resource model
Choose the amount of memory we want to allocate to our functions and AWS Lambda allocates proportional CPU power, network bandwidth, and disk I/O.
- Pay per use
We need to pay only for the requests served and the compute time required to run our code.
- Run code in response to Amazon CloudFront requests
AWS Lambda can run your code across AWS locations globally in response to Amazon CloudFront events, such as requests for content to or from origin servers and viewers.
- Automatic scaling
AWS Lambda invokes your code only when needed and automatically scales to support the rate of incoming requests without requiring you to configure anything. There is no limit to the number of requests your code can handle. AWS Lambda typically starts running your code within milliseconds of an event, and since Lambda scales automatically, the performance remains consistently high as the frequency of events increases. Since your code is stateless, Lambda can start as many instances of it as needed without lengthy deployment and configuration delays.
- Bring your own code
With AWS Lambda, there are no new languages, tools, or frameworks to learn. You can use any third party library, even native ones. AWS Lambda supports Java, Node.js, C#, and Python code, with support for other languages coming in the future.
Working
AWS Lambda Limits
As explained in Lambda Functions, once you’ve packaged up your custom code, including any dependencies, and uploaded it to AWS Lambda, you have created a Lambda function. But there are limits that AWS Lambda imposes that include, for example, the size of your deployment package or the amount of memory your Lambda function is allocated per invocation.
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