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

Reviewing Datadog APIs

In this section, we will discuss the main Datadog features that can be accessed and managed programmatically using the REST API. As mentioned earlier, anything that you can do on the Datadog UI can be accomplished from code using Datadog APIs. In a highly automated environment, that option would be very handy as all the monitoring-related activities could be consolidated on the Datadog platform. If integration from an application is not directly supported readily, then custom integration using REST APIs is one of the best options available. (There are special cases in which monitoring standards such as StatsD and JMX could be used and we will look at how to use those in the next chapter, Working with Monitoring Standards.)

Let's look at the broad categories of Datadog APIs.

Public cloud integration

By integrating with the leading public cloud platforms, AWS, Azure, and GCP, Datadog can import infrastructure information without the help of any agent...