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

Monitoring event streams

The events generated by Datadog or posted by applications provide a log of activities happening in the application system in general, especially at the infrastructure and system level, such as one-off issues with a host or a service restarting. On the Datadog UI, the even stream dashboard lists the latest events and can be viewed as follows.

Click on the Events menu and pick a time window in the Show field to view the events for a specific time period. The event stream dashboard would look as follows:

Figure 5.4 – Event stream dashboard

The events listed on the event stream are classified and can be filtered on the dashboard as follows:

  • By source: On the left pane of the dashboard, the FROM section lists the sources of the events.
  • By Priority: On the left pane of the dashboard, the PRIORITY section lists the priorities.
  • By Severity: On the left pane of the dashboard, the STATUS section lists the severity of...