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

Developing integrations

In Chapter 8, Integrating with Platforms Components, you learned how to configure an integration. Datadog ships official integrations with a lot of third-party applications that are used to build the cloud platform where a software application runs. The best thing about using an official integration is that the metrics specific to that integration will be available for use in dashboards, monitors, and other Datadog resources after minimal configuration.

Datadog lets you build custom integrations that would work exactly like the official ones. It would require DevOps expertise, especially coding skills in Python, and it's not easy to learn the procedure Datadog lays out to build an integration that would be compatible with the Datadog Agent. However, it might make sense to build an integration for the following reasons:

  • Building an integration for an internal application: Even though it is internally used, the application might be deployed at...