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

Tagging an integration

The metrics published by an integration can be tagged at the integration level for better visibility with Datadog resources where those metrics will be used eventually. We will see how that's done with the intention of implementing the best practices for effectiveness. We already learned in Chapter 2, Deploying Datadog Agent, and, in Chapter 5, Metrics, Events, and Tags, that host-level, custom tags can be added by using the tags configuration item in the datadog.yaml file. Custom tags added using this option will be available on all the metrics generated by various integrations running on that host. The tagging option is available at the integration level also, and the related tags will be applied only on the integration-specific metrics.

In the use case that was mentioned in the previous section related to using NGINX for different roles, this multi-level tagging method will be useful to filter the NGINX metrics originating from multiple hosts. For...