AWS Lambda is the core service for building Serverless applications in AWS. It allows you to create functions that are executed in response to events. You only pay for the time the function is executing. You can monitor functions and attach a wide variety of event triggers. You only have to select the runtime for the function you are creating and then you can start writing your code. The only limitation was that you had to use one of the supported programming languages that AWS provided by default. Well, this is no longer the case. Now you can create Lambda functions written in any kind of language by providing a custom runtime that allows the Lambda function to run code in the language of your choice. In this lab, you will be guided into the creation of a Lambda Layer which will contain the runtime configuration and the creation of a function that executes Bash shell commands.
Lab Objectives
Upon completion of this Lab you will be able to:
- Create a Lambda layer and deploy the custom runtime the function will run on
- Create a Lambda function written in Bash associated with the layer
- Test the Lambda function
Lab Prerequisites
You should be familiar with:
- Working at the command-line in Linux
- Basic concepts of AWS Lambda
Updates
August 30th, 2021 - Updated description and overview to improve clarity
April 16th, 2021 - Moved validation checks to the most relevant lab step for more immediate validation feedback
March 9th, 2021, - Update AWS Lambda instructions and screenshots to reflect latest user-interface changes
February 7th, 2021 - Improved the reliability of the lab
January 22nd, 2021 - Updated AWS Lambda lab steps to reflect latest user interface updates
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Stefano studies Computer Science and is passionate about technology. He loves working with Cloud services and learning all the best practices for them. Google Cloud Platform and Amazon Web Services are the cloud providers he prefers. He is a Google Cloud Certified Associate Cloud Engineer. Node.js is the programming language he always uses to code. When he's not involved in studying or working, Stefano loves riding his motorbike and exploring new places.