Book Image

Datadog Cloud Monitoring Quick Start Guide

By : Thomas Kurian Theakanath
Book Image

Datadog Cloud Monitoring Quick Start Guide

By: Thomas Kurian 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)
Section 1: Getting Started with Datadog
Section 2: Extending Datadog
Section 3: Advanced Monitoring


In this chapter, you have learned about three important monitoring standards, SNMP, JMX, and StatsD, that help with integrating network devices and custom applications in Datadog. As these are general-purpose standards, they are supported by most of the popular monitoring tools. The general pattern of using these standards is to stick with the standard features and not to use the extensions as the former approach would make your monitoring friendly with other monitoring tools as well.

In the next chapter, the last chapter of the integration part of the book, we will discuss how integration is handled directly from custom applications. There are both official and community-developed programming libraries available to integrate applications directly with Datadog. We will explore how some of those libraries and the Datadog REST APIs are used to integrate custom applications with Datadog.