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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.
Getting help
Self-service resources
As you go along in this guide, you can refer to the following self-service resources:
- Datadog training courses.
- The Datadog documentation, especially the Getting started pages, to familiarize yourself with the platform further.
- The Datadog UI, which provides in-context help, information on specific configuration fields, release notes, and other resources, click the
"?" icon throughout the app, or the bottom of the product navigation.
File a support ticket
To get support when you’ve run into a problem:
- Datadog Support: Available to help with difficult issues, guide your installation, translate issues into local conditions, identify bugs, and log feature requests.
- Datadog Agent flare: This CLI tool automatically creates a new support ticket and sends a zipped file of redacted relevant log files, debug level settings, and local configs, to Datadog support, no login required. For information on how to use and send the flare to Datadog support, see sending a flare.
- Fleet Automation: Allows remote flare generation from the Platform UI.
Learn Datadog basics
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:
Create a test environment
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.
Configuring your test environment
In-App
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:
- Create a Synthetic test to start testing critical business transactions on your applications.
- Create a few Service Level Objectives (SLOs) to define targets for application performance.
- Review the APM Service Setup page, and follow the step-by-step instructions to begin instrumenting your services.
- Configure and test Log Pipelines to figure out how you would like to ingest different sets of logs coming from infrastructure and applications.
- Review the Monitor Templates page to begin adding some alerts on your test environment.
Host Agent Config Templates
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:
Next Steps
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.
Further Reading
Más enlaces, artículos y documentación útiles:
