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Datadog Cloud Monitoring Quick Start Guide

Datadog Cloud Monitoring Quick Start Guide

By : Theakanath
4.3 (14)
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Datadog Cloud Monitoring Quick Start Guide

Datadog Cloud Monitoring Quick Start Guide

4.3 (14)
By: 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)
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1
Section 1: Getting Started with Datadog
9
Section 2: Extending Datadog
14
Section 3: Advanced Monitoring

Best practices

You have learned about advanced monitoring, APM, and the security features available on the Datadog platform, so now let's look at the related best practices in those areas:

  • The instrumentation for generating application traces and profiling for APM must be incorporated in the build and deployment process.
  • Define a complete set of application metrics for each service and expose those for easy consumption by Datadog.
  • Plan to collect all application logs and, if needed, define new ones so that the application state can be observed easily.
  • Determine the geographical locations of the users of the application for fine-tuning synthetic tests.
  • Publish the list of supported devices and browsers. Based on the information available in synthetic monitoring reports, fine-tune the application for compatibility with access devices and browsers.
  • For effective security monitoring, define custom security rules that are relevant to the organization....
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