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 2: Deploying the Datadog Agent

In the previous chapter, we learned that the cornerstone of a monitoring tool is the group of metrics that helps to check the health of the production system. The primary tasks of the monitoring tool are to collect metric values periodically as time series data and to alert on issues based on the thresholds set for each metric.

The common method used by monitoring tools to collect such data is to run an agent process close to where the software application runs, be it on a bare-metal server, virtual machine, or container. This would enable the monitoring agent to collect metric values directly by querying the software application and the infrastructure where it runs.

Datadog collects such data in various ways and like other monitoring tools, it also provides an agent. The agent gathers monitoring data from the local environment and uploads that to the Datadog SaaS backend in the cloud. In this chapter, we will learn how the Datadog Agent...