Datadog can collect metrics, events, and logs from your AWS infrastructure using the Amazon Web Services Integration.

This course's hands-on labs will teach you how to install and configure the integration to collect metrics, events, and logs from AWS resources such as:

  • A Python Lambda function
  • PostgreSQL running on RDS
  • A Ruby web app and Python microservice running on Fargate ECS
  • A NodeJS API running on an EC2 instance
  • A DynamoDB table

While these are the specific technologies and AWS resources that you'll work with in this course, the principles of monitoring them in Datadog are universal across many technologies and most AWS resource types.

After you have configured the integration, you will explore the metrics and logs collected in Datadog, as well as several of the out-of-the-box dashboards that the integration provides.

Learning Objectives

Upon completing this course, you will be able to:

  • Explain several different methods for getting AWS infrastructure metrics, logs, and other data into Datadog
  • Install Datadog's Amazon Web Services Integration to monitor your resources and services in AWS
  • Configure Datadog's LogForwarder Lambda function to forward CloudWatch logs to your Datadog account
  • Install the Datadog Agent on an EC2 instance
  • Run the Datadog Agent as an ECS Fargate task
  • Discover, graph, and monitor AWS metrics in Datadog
  • Search and query AWS service logs in Datadog
  • Enable metric streams for low latency metrics

Primary Audience

DevOps, SRE, or software engineers who want to monitor their AWS infrastructure using Datadog. Learners should already be comfortable using Datadog and AWS, and should understand fundamental cloud infrastructure concepts.


The Learning Environment course will introduce you to the hands-on lab environment that you will use in most Learning Center courses.

Technical Requirements

An internet-connected computer with Google Chrome or Mozilla Firefox installed.

Some networks can interfere with the hands-on learning environment:

  • corporate networks
  • firewalls
  • proxies
  • ad blockers
  • VPNs

Keep this in mind if you encounter any issues, and consider using a personal computer connected to a less constraining network.

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 course ends after 30 days. You can re-enroll at any time and pick up where you left off.

Course Curriculum

    1. Introduction

    1. About the AWS Integration

    2. Preview of Lab Activities

    3. Lab: Intro to AWS

    1. Summary

    2. Feedback Survey

Introduction to Monitoring AWS

  • 2 hours to complete
  • 3 Lessons
  • 0 hours of video content
  • Intermediate