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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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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

Chapter 13: Managing Logs Using Datadog

The logs generated by the operating system, the various platform components, and the application services contain a lot of information regarding the state of the infrastructure as well as the workings of the applications running on it. Managing all logs at a central repository and analyzing that for operational insights and monitoring purposes is an important area in monitoring. It usually involves the collection, aggregation, and indexing of logs. In Chapter 1, Introduction to Monitoring, this monitoring type was briefly discussed. In Chapter 12, Monitoring Containers, you learned how logs from containers are published to Datadog for aggregation and indexing for facilitating searches.

Some of the popular monitoring product offerings in this area are ELK Stack (Elasticsearch, Logstash, and Kibana), Splunk, and Sumo Logic. Now, Datadog also provides this feature and you have seen Log Explorer, a frontend to that feature, in the last chapter...

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