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 organizations

It is possible to set up multiple organizations in the same Datadog account. This multi-organizations feature is not enabled by default and you must request customer support for it. Multiple child-organizations are useful in cases where monitoring needs to be isolated for parts of the infrastructure and the applications run on it:

  • Dedicated environments for development and production: The access to monitoring information that covers production and non-production environments can be very different in terms of who will access them, and the privileges needed. The focus of monitoring is usually keeping track of systems in production and access to related information is highly controlled. Even though roles can be used to control access finely, an easy and secure way of doing it is to partition monitoring into multiple organizations.
  • Dedicated monitoring for customers: To meet privacy compliance requirements, monitoring infrastructure may have to be isolated...