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

Chapter 8: Integrating with Platform Components

We learned about monitors and alerts, key elements of a monitoring infrastructure that are central to the 24x7 monitoring of software systems in production, in the last chapter. Earlier in the book, we saw how infrastructure resources, the basic building blocks of any computational environment that runs a software system, are monitored by Datadog.

In Chapter 1, Introduction to Monitoring, we discussed various types of monitoring and briefly mentioned platform monitoring, the monitoring of software and cloud computing components that are used to build the computing platform where application software runs. In a public cloud environment, there are overlaps between infrastructure and platform components because compute, storage, and network components are software-defined in those environments, and, for monitoring purposes, they could be treated as a platform component such as MySQL Database or the RabbitMQ messaging system.