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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

Collecting logs

The first step in any log management application is to collect the logs in a common storage repository for analyzing them later and archiving them for the records. That effort involves shipping the log files from machines and services where they are available to the common storage repository.

The following diagram provides the workflow of collecting and processing the logs and rendering the aggregated information to end users. The aggregated information could be published as metrics, which could be used for setting up monitors. That is the same as using metrics to set up monitors in a conventional monitoring application:

Figure 13.1 – Log management workflow

In a modern production infrastructure, the logs could be generated by a variety of sources, and typical sources include the following:

  • Public cloud services: Public cloud services such as AWS S3 and RDS are very popular, especially if the production infrastructure is...
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