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


Metrics are central to a modern monitoring system and Datadog is no exception. Datadog offers a rich set of options to generate and use metrics. Though tags have general-purpose uses across all Datadog resources, their main use is to group and filter massive amounts of metrics data.

In this chapter, we learned how metrics and tags are defined and how metrics and other resources are grouped and searched for using tags. Besides Datadog-defined metrics and tags, there are multiple ways to add custom metrics and tags, and some of those methods were discussed in this chapter.

An event is an activity in the infrastructure or in the application system that Datadog monitors. Datadog captures and lists such events on the event stream dashboard. Events can be searched for in multiple ways, including by using keywords and tags. Events can be forwarded to different channels such as email, Slack, and PagerDuty.

In the next chapter, we will see how monitoring events are managed...