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Datadog Cloud Monitoring Quick Start Guide

You're reading from   Datadog Cloud Monitoring Quick Start Guide Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

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Product type Paperback
Published in Jun 2021
Publisher Packt
ISBN-13 9781800568730
Length 318 pages
Edition 1st Edition
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Author (1):
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Thomas Kurian Theakanath Thomas Kurian Theakanath
Author Profile Icon Thomas Kurian Theakanath
Thomas Kurian Theakanath
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Getting Started with Datadog
2. Chapter 1: Introduction to Monitoring FREE CHAPTER 3. Chapter 2: Deploying the Datadog Agent 4. Chapter 3: The Datadog Dashboard 5. Chapter 4: Account Management 6. Chapter 5: Metrics, Events, and Tags 7. Chapter 6: Monitoring Infrastructure 8. Chapter 7: Monitors and Alerts 9. Section 2: Extending Datadog
10. Chapter 8: Integrating with Platform Components 11. Chapter 9: Using the Datadog REST API 12. Chapter 10: Working with Monitoring Standards 13. Chapter 11: Integrating with Datadog 14. Section 3: Advanced Monitoring
15. Chapter 12: Monitoring Containers 16. Chapter 13: Managing Logs Using Datadog 17. Chapter 14: Miscellaneous Monitoring Topics 18. Other Books You May Enjoy

Summary

By now, you should be aware of all the important integration options available in Datadog for a variety of use cases; let's recap what we covered in this chapter specifically.

Many Datadog client libraries targeting popular programming languages are available, both officially maintained and at the community level. There are two types of client libraries – ones that provide a language wrapper to the Datadog REST API and libraries that provide support interfacing with Datadog via the StatsD-compatible DogStasD service. Also, there are community-level efforts to integrate with Datadog that are available on GitHub.

There are other types of Datadog client libraries that are not discussed here, such as APM and distributed tracing libraries, libraries that support serverless computing resources such as AWS Lambda, and client libraries that specifically target the log management feature of Datadog. The usage of these libraries is not different from how the core API...

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