The course is part of these learning paths

Certified Developer – Associate Certification Preparation for AWS
course-steps 29 certification 5 lab-steps 22 description 2
Serverless Computing on AWS for Developers
course-steps 12 certification 1 lab-steps 8
Get Started Building Cloud Solutions
course-steps 14 certification 5 lab-steps 1
Getting Started with Serverless Computing on AWS
course-steps 8 certification 1 lab-steps 9
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In this course, we explore some of the common use cases for serverless functions and get started with implementing serverless functions in a simple application.



So, to conclude our Using Serverless Functions course, let's just review the things we've been over. So, we created an AWS Lambda function to monitor and process an Amazon S3 bucket, we used two Lambda functions in an application, one to notify of an upload to Amazon S3, and another function to send a notification to Simple Notification Service of a completed order in our restaurant ordering application. And, we discussed the roles and options for integrating Lambda with other AWS services and other services in general, both in and outside of our VPC. We worked through using Amazon Cloudwatch to monitor Lambda functions and we looked at how to start using the console.log file to debug applications. Now, I suggest completing the labs that follow this course so you have an opportunity to try some of these concepts hands on, always the best way to learn. Thanks for your attention, and any questions of feedback, please reach out to us at

About the Author

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Head of Content

Andrew is an AWS certified professional who is passionate about helping others learn how to use and gain benefit from AWS technologies. Andrew has worked for AWS and for AWS technology partners Ooyala and Adobe.  His favorite Amazon leadership principle is "Customer Obsession" as everything AWS starts with the customer. Passions around work are cycling and surfing, and having a laugh about the lessons learnt trying to launch two daughters and a few start ups.