Abstract

In this workshop, you will use AWS services including API Gateway, SNS, SQS, and more to build a fully serverless GitHub App that you can integrate into your own GitHub repositories. Along the way, you will use Datadog to observe your service and identify possible failure modes and common scalability issues. With that information, you'll be able to iterate and improve the service to a product-ready state. You will learn how Datadog observability tools like continuous profiler, APM, and cold start tracing enable you to observe, understand, and get the most out of your serverless applications.

Primary Audience

This workshop is approachable for any application developer or SRE. People with some AWS experience will likely get the most out of this workshop.

Prerequisites

Familiarity with AWS and Datadog. A GitHub account will be required and some light JavaScript will be used throughout the workshop.

Technical Requirements

In order to complete the course, you will need:

  • Google Chrome or Firefox
  • Third-party cookies must be enabled to access labs

Course Navigation

At the bottom of each lesson, click MARK LESSON COMPLETE AND CONTINUE button so that you are marked complete for each lesson and can receive the certificate at the end of the course.

Course Enrollment Period

Please note that your enrollment in this workshop ends after 10 days.

Workshop Curriculum

    1. Lab: Serverless Observability on AWS

    2. Feedback

    3. Additional Resources

WORKSHOP: Serverless Observability on AWS

  • 3 hours to complete
  • 1 Lesson
  • Intermediate