Configuration Learning Path
Follow this curated path to learn how to configure and optimize the Datadog Agent for seamless data collection across diverse environments, from on-premise servers to containerized applications.
Through hands-on courses, you’ll explore YAML-based settings, environment variables, container labels, and unified tagging strategies. By the end, you’ll know how to collect and correlate key telemetry—metrics, logs, and traces—all while ensuring the Agent remains healthy and aligned with your organization’s needs.
This path is designed for anyone responsible for deploying and maintaining the Datadog Agent across cloud-native or hybrid infrastructures, and/or configuring the Datadog platform.
You’ll learn how to do the following:
Tagging Best Practices
Develop an effective tagging strategy to improve data organization and visibility across your systems. Filter, group, and explore correlated data with tags in Datadog for deeper insights into performance, resource usage, and application behavior.
The Agent on a Host
Introduction to running the Datadog Agent on a host. Hands-on activities walk you through running and configuring the Agent to collect events, metrics and logs from other services.
The Agent on Docker
Introduction to running the Datadog Agent in a container. Hands-on activities walk you through running and configuring the Agent container to collect events, metrics and logs from other services.
Getting Started with Integrations
Learn how Datadog’s 800+ integrations collect and report data from an expansive list of outside tools, platforms, programming languages, and more.
Getting Started with Universal Service Monitoring (USM)
Automatically detect, map, manage, and monitor services in your environment with Datadog’s Universal Service Monitoring and the Software Catalog—no code-level instrumentation required!
