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

Chapter 9: Using the Datadog REST API

In the previous chapter, you learned how platform components, mainly made up of third-party software products and cloud services, are integrated with Datadog, by way of Datadog-supported integrations and custom checks. The main objective of those integrations is to monitor third-party tools used in the application stacks from Datadog. The integration with Datadog can be done in the other direction also. Tools and scripts can use Datadog HTTP REST APIs to access the Datadog platform programmatically. For example, if you need to post a metric value or an event to Datadog from an application, that can be done using the related REST APIs.

The Datadog REST API set is a comprehensive programmatic interface to access the Datadog monitoring platform. The APIs can be used to post custom metrics, create monitors and dashboards, tag various resources, manage logs, and create and manage users and roles. Essentially, anything that you can perform from the...