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

Installing the Datadog Agent

The Datadog Agent can be configured to run in multiple ways for it to monitor the infrastructure and the processes, including microservices in the environment where it runs. It can run at the host level and as a microservice and the actual configuration would usually depend on how the application software is deployed.

Runtime configurations

There are multiple ways you can deploy the Datadog Agent in runtime environments to collect events and data, and such configurations depend largely on how the applications are deployed. For example, if all the applications run directly on the host, then the Datadog Agent is run directly on the host as well. Let's look at the common runtime configurations.

The Datadog Agent can be configured to run in three different ways locally, as illustrated in the diagrams shown as follows. In all the cases, the agent also collects data on the infrastructure health in addition to collecting application-specific metrics...