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


In a traditional computing scenario where hosts are involved, infrastructure monitoring is the core of monitoring. Hosts include both bare-metal and virtual machines. With the increased use of microservices to deploy applications, the container has become an important element in building infrastructure. Datadog provides features that support both host- and container-level monitoring. The Datadog feature of aggregating processes from the hosts makes comparing runtime environments at the host level easy. Though no infrastructure is involved, Datadog can be used to monitor serverless computing resources such as AWS Lambda functions. In this chapter, you learned how various components of the infrastructure that run a software application system are monitored using Datadog. These infrastructure components could be in traditional data centers or public clouds, and they could be virtual machines or containers.

Though useful metrics can be published to Datadog or generated by it...