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

Synthetic monitoring

In synthetic monitoring, the utilization of an application is simulated, typically by a robotic user, and the data collected from such simulations forms the basis of actionable steps, such as triggering an alert on an application performance attribute or the availability of the application itself. Generally, the following are the application states that can be monitored by using synthetic monitoring tools and methods:

  • The application is available in all respects. This might involve checking on multiple web or API endpoints of the application.
  • The application performance in terms of the velocity with which an application responds to user requests.
  • The applications can execute the business transactions as designed.
  • The third-party components used in building the application system are functioning.
  • The desired performance of the application achieved is cost-effective and within budget.

Most of these aspects are related to measuring...