Datadog Labs
Labs are standalone modules that focus on a specific scenario that can be completed in 1 hour or less.
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Lab: An Introduction to the Datadog Helm Chart Options
In this lab, you explore the many Datadog Helm chart options available in a real cluster and observe in real time the features these different options enable.
Free
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Lab: Diagnose and Optimize CPU Performance with Continuous Profiler
In this lab, you use Datadog Continuous Profiler to diagnose CPU performance issues in your live applications.
Free
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Lab: Introduction to Cluster Checks and Endpoint Checks
In this lab, you learn how to set up cluster checks and endpoint checks for Kubernetes services.
Free
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Lab: Managing Datadog monitors through Kubernetes configuration
In this lab, you use DatadogMonitor to define Datadog monitors as Kubernetes objects, allowing you to store them in Git with the rest of your application configuration.
Free
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Lab: Tracking Canary Deployments with Datadog
In this lab, you use Datadog’s deployment tracking together with Docker to deploy, track, and remediate issues within staged releases.
Free
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Lab: Understanding the Datadog Operator
In this lab, you use the Datadog Operator in a real cluster with various manifests and observe in real time the features these different manifests enable.
Free
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Lab: Using Datadog Notebooks for Centralized Reporting
In this lab, you learn how to use Datadog and the Datadog API to build a notebook that holds, over a 5-day span, both metric data and software release notes for an application.
Free
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Lab: Using Datadog RUM to Track Core Web Vitals
This lab walks you through the process of using Datadog Real User Monitoring (RUM) to monitor Core Web Vitals for a fictional e-commerce app, Storedog.
Free