Use AWS Lambda Custom Runtimes to Run Bash Commands

Lab Steps

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Logging in to the Amazon Web Services Console
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AWS Lambda Layers and Runtimes Overview
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Creating an AWS Lambda Layer
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Creating the Custom Runtime AWS Lambda Function
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Testing the Custom Runtime AWS Lambda Function

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DifficultyBeginner
Time Limit45m
Students372
Ratings
4.1/5
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Description

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 is that you have to use one of the programming languages that AWS provides. Well, this is no longer the case. Now you can create Lambda functions written in any kind of language by providing a custom runtime which teaches the Lambda function to understand the syntax of the language you want to use. 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

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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About the Author
Students16257
Labs94
Courses2
Learning paths5

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.