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 3: The Datadog Dashboard

In the previous chapter, we looked at the various ways the Datadog agents running on your infrastructure upload monitoring metrics to Datadog's SaaS backend. The Datadog dashboard provides an excellent view of that data, and it can be accessed using popular web browsers. The administrators use the dashboard to perform a variety of tasks – managing user accounts and their privileges, creating operational dashboards, enabling integrations, and creating monitors are typical examples. The dashboard provides a chat window for the users to contact customer support as well.

While the dashboard has a large number of features, some of them are more important than others, and we will study them in detail in this chapter. These are the important dashboard features:

  • Infrastructure List
  • Events
  • Metrics Explorer
  • Dashboards
  • Integrations
  • Monitors
  • Advanced features