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

Deploying the agent – use cases

At the beginning of this chapter, we looked at multiple runtime configurations possible for running the Datadog Agent. In this section, we will explore a few use cases in which such options are utilized.

All on the hosts

This is a classic configuration in which both the Datadog Agent and the application software run directly on the hosts. The hosts could be bare-metal or virtual machines. An agent will run on every host, reporting events and metrics into the Datadog backend.

The deployment can be done using the following automated or semi-automated methods. In a real-life production environment, installing the Datadog Agent manually on hosts might be impractical or might not scale up:

  • The Datadog Agent can be baked into the machine image used to boot up a bare-metal machine or spin up a virtual machine. For example, in AWS, the agent can be preinstalled and preconfigured for the target environment in the Amazon Machine Image ...