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Datadog Cloud Monitoring Quick Start Guide

Datadog Cloud Monitoring Quick Start Guide

By : Theakanath
4.3 (14)
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Datadog Cloud Monitoring Quick Start Guide

Datadog Cloud Monitoring Quick Start Guide

4.3 (14)
By: Theakanath

Overview of this book

Datadog is an essential cloud monitoring and operational analytics tool which enables the monitoring of servers, virtual machines, containers, databases, third-party tools, and application services. IT and DevOps teams can easily leverage Datadog to monitor infrastructure and cloud services, and this book will show you how. The book starts by describing basic monitoring concepts and types of monitoring that are rolled out in a large-scale IT production engineering environment. Moving on, the book covers how standard monitoring features are implemented on the Datadog platform and how they can be rolled out in a real-world production environment. As you advance, you'll discover how Datadog is integrated with popular software components that are used to build cloud platforms. The book also provides details on how to use monitoring standards such as Java Management Extensions (JMX) and StatsD to extend the Datadog platform. Finally, you'll get to grips with monitoring fundamentals, learn how monitoring can be rolled out using Datadog proactively, and find out how to extend and customize the Datadog platform. By the end of this Datadog book, you will have gained the skills needed to monitor your cloud infrastructure and the software applications running on it using Datadog.
Table of Contents (19 chapters)
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1
Section 1: Getting Started with Datadog
9
Section 2: Extending Datadog
14
Section 3: Advanced Monitoring

Chapter 12: Monitoring Containers

The monitoring of containers has been briefly covered earlier in the book. However, the adoption of microservices-based architecture to build applications and the ever-increasing use of containers to deploy such applications demands a dedicated chapter like this. Monitoring applications are trying to support advances in this space, and Datadog has been adding new features as well.

In this chapter, you will learn about the important Datadog features related to monitoring containers. Specifically, the following topics will be covered:

  • Collecting Docker logs
  • Monitoring Kubernetes
  • Using Live Containers
  • Viewing logs using Live Tail
  • Searching container data
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