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

Best practices

Now, let's look at the best practices in making use of monitoring standards and the support provided by Datadog:

  • When monitoring network devices using SNMP integration, the number of metrics that you must handle can be overwhelming. So, it's important to identify a few key metrics that can track performance and proactively identify issues, and implement monitors using those.
  • JMX can be used to manipulate the workings of the application and such things shouldn't be implemented on the monitoring infrastructure side because monitoring is essentially a ready-only activity. In other words, monitoring applications won't initiate any corrective actions usually because monitoring is not considered part of the application system and the non-availability of a monitoring tool should not hamper the workings of the main application it monitors.
  • StatsD is designed to handle only metrics that can be consumed by applications such as Datadog. It&apos...