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

Setting up monitors

In a generic monitoring system, a monitor is usually tied to metrics or events, and Datadog covers these and much more. There are multiple monitor types based on the data sources defined in Datadog. Some of the most important ones include the following:

  • Metric: As mentioned at the beginning of this chapter, metrics are the most common type of information used to build monitors. A metric type monitor is based on the user-defined thresholds set for the metric value.
  • Event: This monitors the system events tracked by Datadog.
  • Host: This checks whether the Datadog agent on the host reports into the Datadog Software as a Service (SaaS) backend.
  • Live process: This monitors whether a set of processes at the operating system level are running on one or a group of hosts.
  • Process check: This monitors whether a process tracked by Datadog is running on one or a group of hosts.
  • Network: These monitors check on the status of the TCP/HTTP endpoints.
  • ...