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

Programming with Datadog APIs

In this tutorial section, you will learn how to publish a custom metric and use that custom metric to set up a monitor programmatically. You will also learn how to publish an event in the Datadog events stream and search the event stream using keywords. Then a monitor will be set up that is based on the newly created custom metric. You will also learn how these events, the creation of the custom metric and monitor, are posted to the events stream. Finally, you will learn how the events stream is queried using a known tag that helps to locate the events programmatically posted to the events stream earlier.

The problem

For the tutorial, let's assume that you are maintaining an e-commerce site and you need to monitor the performance of the business on an hourly basis, which management might be interested in tracking. There is a custom program to query the hourly order from the company's order management system, which will also post the metric...