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

Consuming application metrics using JMX

Java Management Extensions (JMX) is a Java technology that Java applications can use to publish their operational statistics. JMX has additional features that help with managing the application overall, but we are focused only on its ability to expose application metrics that could be used for monitoring. Datadog provides support for collecting those metrics.

Typically, a JMX-compliant client application such as JConsole could be used to consume the metrics published by JMX and view them. As it's common for Java applications to publish operational metrics using JMX, most modern monitoring platforms provide options to integrate with JMX, and Datadog is no exception.

Rolling out application-level monitoring is inherently challenging as it relies on publishing custom metrics that track the health and performance of the application. As some customization is needed in the application and monitoring tool to publish and consume custom metrics...