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This Getting Started guide offers strategies for effectively implementing Datadog in your organization. Explore resources for assistance, Learning Center courses to deepen your knowledge, and instructions for setting up a test environment.
As you go along in this guide, you can refer to the following self-service resources:
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icon throughout the app, or the bottom of the product navigation.To get support when you’ve run into a problem:
Get up to speed with the parts of Datadog that are most important to your use case. Start by enrolling in our free Learning Center courses. Incorporate the following courses into your onboarding workflows:
Getting started:
Administrators:
User Interface:
Site Reliability Engineers:
Developers:
After completing some courses, apply what you’ve learned to your local conditions. Install and experiment with Datadog in a low-risk sandbox, to become familiar with the environment. Create a straightforward and accessible environment to develop your monitoring setup before broader installation.
The Datadog UI is the best place to start building out your testing environment. The platform provides configuration assistance, live data auto-parsers, contextual suggestions, and many other tools. The Datadog UI provides helpful resources for completing some of these tasks.
A few examples are:
The Datadog Agent is open-source and published in GitHub. The Agent GitHub repo is a useful resource for viewing configuration templates and specifications to assist with building your environment.
Here are a few examples:
To successfully create a new Datadog installation, review the plan page. You’ll learn how to create a scoping exercise, set up resource tagging, learn about product best practices, add more products, and optimize your data collection to ensure a smooth installation.
추가 유용한 문서, 링크 및 기사: