Introduction to AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the compute resources for you, making it easy to build applications that respond quickly to new information. Lambda opens up all kinds of new possibilities and can lower your costs at the same time. When running a job-processing server in EC2, you are charged for compute time as long as your instance is still running. Contrast that with Lambda where you are only charged while actually processing a job. This makes Lambda a great fit for spiky or infrequent workloads because it scales automatically and minimizes costs during slow periods. The event-based model Lambda provides makes it perfect for providing a backend for mobile clients, other smart devices, or adding no-stress asynchronous processing to an existing application.
In this introductory lab, you will learn how to use AWS Lambda to easily run code to react to events. Events can come from DynamoDB changes, SNS messages, S3 objects, Kinesis streams, or a variety of other sources. Owing to its versatility, Lambda has found use in a wide variety of applications including mobile apps, Internet of Things backends, and big data systems.
Upon completion of this Lab, you will be able to:
- Understand what Lambda functions are and what makes them unique
- Create Lambda functions using the AWS Console
- Test Lambda functions
- Candidates for the AWS Developer Associate certification
- DevOps Engineers
- Software Engineers
- Anyone looking to learn about AWS Lambda functions
You should be familiar with:
- Node.js development experience is beneficial, but not required
March 1st, 2023 - Updated screenshots and instructions to reflect the latest user interface changes
March 8th, 2021 - Updated screenshots and instructions to reflect the latest user interface changes
January 26th, 2021 - Updated AWS Lambda lab steps to reflect latest user interface updates
March 5th, 2019 - Simplified the Lambda execution role selection workflow and updated screenshots
March 3rd, 2019 - Added a customized validation Lab Step
March 1st, 2019 - Updated environment diagrams to the latest AWS icon library
January 10th, 2019 - Added a validation Lab Step to check the work you perform in the Lab
June 25, 2018 - Complete update (easier to follow instructions, updated screenshots)
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.