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


The Datadog Agent can be used for monitoring both classic and microservices-based environments that are built on a variety of cloud platforms and operating systems. To collect and publish monitoring metrics into its SaaS backend, an agent needs to be run on the local environment. The agent could be run directly on the host machine, as a container on a Docker host, or as a service in a microservice orchestration framework such as Kubernetes. This chapter looked at various configuration options available for deploying the Datadog Agent and typical use cases.

In the next chapter, we will look at key features of the Datadog UI. Though most of the changes can be done using APIs, the Datadog UI is a handy tool for both users and administrators to get a view into Datadog's backend, especially the custom dashboards that provide visual insights into the state of infrastructure and the application software system.