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)
1
Section 1: Getting Started with Datadog
9
Section 2: Extending Datadog
14
Section 3: Advanced Monitoring

Chapter 11: Integrating with Datadog

In the previous chapter, you learned about some of the important monitoring standards and how they are implemented in Datadog, with the objective of extending the features of the Datadog monitoring platform. So far, in this part of the book, we have been looking only at extending the monitoring capabilities of an organization focused on Datadog. The integration with Datadog can happen both ways – in addition to populating Datadog with monitoring related data for use with various Datadog features, the information available in Datadog could be utilized by other internal applications also.

To roll out such general-purpose integrations between applications, a rich set of APIs should be available. We have already seen that the Datadog REST API is a comprehensive programming interface that other applications can use to access the Datadog platform to publish and extract information. We have also looked at DogStatsD as one of the methods to publish...