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

Implementing observability

Observability refers to the processes and methods involved in making the working of an application system more transparent and measurable. Increased observability of an application system will make it more monitoring-friendly. Observability is a property of the application system itself, while monitoring is an act that leverages that property for operational requirements.

Observability is relatively new to the monitoring vocabulary, but it has been repurposed from system control theory. The concept of observability was introduced by Hungarian American engineer Rudolf E. Kálmán for linear dynamic systems, and it states that observability is a measure of how well internal states of a system can be inferred from knowledge of the system's external outputs. In the context of monitoring, the external outputs could be various metrics, logs, and traces. So, a monitoring tool with observability features should help with generating and analyzing various...