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

As you have seen, there are multiple ways to install and configure the Datadog Agent, and, for someone new to Datadog, it could be daunting to determine how the agent can be rolled out and fine-tuned efficiently to meet the monitoring requirements. However, there are a few things that are obvious as best practices, and let's summarize those here:

  • If the agent is installed on the host, plan to include it in the machine image used to spin up or boot the host.
  • Set up Ansible playbooks or similar tools to make ad hoc changes to the Datadog Agent on the host. This is not recommended for some complex infrastructure environments, especially where bare-metal servers are used, so some in-place change might be needed.
  • When containers are to be monitored, plan to deploy the agent also as a container.
  • Plan to collect tags from underlying infrastructure components such as Docker and Kubernetes by suitably configuring the agent.