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Datadog Labs

Labs are standalone modules that focus on a specific scenario that can be completed in 1 hour or less.

  • Lab: An introduction to the different options for Datadog helm chart

    In this lab, you will be explaining and using the many Datadog Helm Chart options in a real cluster, checking in real time the features they enable.

    Free

  • Lab: Diagnose and optimize CPU performance with Continuous Profiling

    In this lab, you will learn to use Continuous Profiling to diagnose production CPU performance issues in your applications.

    Free

  • Lab: Introduction to Cluster Checks and Endpoint Checks

    In this lab, you will learn how to set up cluster checks for Kubernetes services and Endpoint checks.

    Free

  • Lab: Managing Datadog monitors through Kubernetes configuration

    In this lab, you will learn how to manage Datadog monitors through Kubernetes configurations.

    Free

  • Lab: Tracking Canary Deployments with Datadog

    Use Datadog Deployment Tracking along with Docker to deploy, track, and remediate issues.

    Free

  • Lab: Understanding the Datadog Operator

    In this lab, you will learn about and use the Datadog Operator in a real cluster with different manifests, checking in real time the features they enable.

    Free

  • Lab: Using Datadog Notebooks for Centralized Reporting

    In this lab, you'll learn how to use Datadog and the Datadog API to build a notebook that holds both metric data and software release notes for an application over a 5-day span.

    Free

  • Lab: Using Datadog RUM to Track Core Web Vitals

    This lab will provide an overview of monitoring Core Web Vitals for a fictional e-commerce app, Storedog, using Datadog Real User Monitoring (RUM).

    Free

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If you are experiencing any issues with the platform, start by reading our Frequently Asked Questions. 

Still need help? Email us at learn@datadoghq.com or visit the #learning-center Slack channel (sign up now).

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