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

Searching container data

So far, our focus has been to collect information from containers and the infrastructure they run on, and publish that to the Datadog backend. Various Datadog dashboards, especially Live Containers and Log Explorer, presented that information for user consumption. In a real-life environment where Datadog would be publishing copious amounts of monitoring information, it could easily become a little overwhelming to process such a huge volume of data. The solution is to use methods of searching for information using keywords and tags, and you will learn how to do that in this section.

Keywords can be used to search for containers on the Live Containers dashboard and they will match with container names, IDs, and image names. For example, in the following screenshot, the container ID is looked up:

Figure 12.9 – Searching for a container using the container ID

The result can be further filtered and/or grouped by using tags. The...