The Datadog Agent is software that collects events and metrics and sends them to Datadog, where you can analyze your monitoring and performance data. The Datadog Agent is open source and runs in many environments and operating systems.
This intermediate level course will teach you how to run and configure the Datadog Agent on a host to collect events and metrics about the host and all the processes and services running on it.
The Agent can run on many different hosts, including:
- Virtual machines
- Cloud compute instances (AWS EC2, GCP GCE, and more)
- Bare metal servers
- Windows, Linux, and macOS devices. Even Raspberry Pi!
Upon completing this course, you will be able to:
- Install the Agent on a Linux host
- Enable and configure Agent features and behavior by editing its YAML file
- Assess Agent health and configuration using its CLI interface
- Add Unified Service Tags and other metadata to monitored services
- Navigate the Datadog App to identify the events, metrics, and logs that the Agent has collected
DevOps, SRE, or software engineers who want install and configure the Datadog Agent in on a host.
Learners should be comfortable configuring system software and working with Docker containers.
The Learning Environment course will introduce you to the hands-on lab environment that you will use in most Learning Center courses.
An internet-connected computer with Google Chrome or Mozilla Firefox installed.
Note that 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.
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
About the Agent
Lab: The Agent on a Host
The Agent on a Host
- 2 hours to complete