Datadog Labs
Labs are standalone modules that focus on a specific scenario that can be completed in 1 hour or less.
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
In this lab, you use Datadog Continuous Profiler to diagnose CPU performance issues in your live applications.
Free
In this lab, you learn how to set up cluster checks and endpoint checks for Kubernetes services.
Free
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
In this lab, you use Datadog’s deployment tracking together with Docker to deploy, track, and remediate issues within staged releases.
Free
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
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
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
Datadog Observability Pipelines enables teams to cost-effectively collect, transform, and route logs and metrics from any source to any destination. With full control of observability data, organizations can affordably manage and scale observability.
Free