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

These are the best practices that should be followed for monitoring infrastructure:

  • Datadog provides lots of metrics that cover various aspects of compute, storage, and network monitoring out of the box. Make sure that you only focus on the important metrics from each category.
  • Containers are becoming core constructs of the infrastructure that hosts modern applications. If microservices are used, it is important to monitor the containers and obtain insights that could be used to fine-tune the performance and availability of applications.
  • Aggregating the processes would make it easy to compare runtime environments, and that feature must be enabled.
  • Though there is no infrastructure to manage in serverless computing, Datadog provides options for monitoring the application functions that should be enabled for tracking the related metrics.