Introduction to AWS Lambda

Lab Steps

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Logging in to the Amazon Web Services Console
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Welcome to AWS Lambda
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Creating a New Lambda Function
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Understanding and Testing the Example IoT Lambda function

The hands-on lab is part of these learning paths

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Ready for the real environment experience?

DifficultyBeginner
Time Limit45m
Students4037
Ratings
4.4/5
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Description

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.

Learning Objectives

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

Prerequisites

You should be familiar with:

  • Node.js development experience is beneficial, but not required

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)

Environment before
PREVIEW
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Environment after
PREVIEW

About the Author

Students59371
Labs112
Courses11
Learning paths15

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 Administrator (CKA), Certified Kubernetes Application Developer (CKAD), Linux Foundation Certified System Administrator (LFCS), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.