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

Collecting Docker logs

In Chapter 2, Deploying the Datadog Agent, you learned how to monitor Docker-based containers as part of the infrastructure. By configuring the Datadog Agent appropriately, information about the running Docker containers, the metrics.* group of metrics, can be obtained and the health of containers can be monitored. The application logs from a container are typically written to the stdout and stderr streams. In this section, let's look at how application logs can be collected by configuring the Datadog Agent and the corresponding Docker image.

The preferred method to collect logs from a container is to run the Datadog Agent as a container on the same Docker host. Though the actual command line to start the Datadog Agent container can be slightly different depending on the target operating system, on a Unix-like system such as macOS or Linux it would be as follows:

$ docker run -d --name datadog-agent \