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

Best practices

The following are some of the best practices to be followed while monitoring containers using Datadog:

  • Run the Datadog Agent as a container for the easy discovery of application containers and flexibility. Even if the Datadog Agent may have to be run at the host level for some reason, running it as a container on the same host might be acceptable considering the operational benefits that it brings.
  • In a Kubernetes environment, don't try to access container logs directly via Docker integration; instead, install the Datadog Agent on the Kubernetes cluster and configure it to collect logs.
  • Though kubectl and Kubernetes Dashboard can be used to view Kubernetes cluster resources, making those available in Datadog will help to increase the visibility of their availability and health.