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

Managing API and application keys

While the users log in to the Datadog UI, using their own credentials or an SSO platform for authentication, a key pair is used for authentication in programmatic access scenarios such as publishing metrics from a program or provisioning Datadog resources using Terraform. In both cases, the processes run independently outside of the Datadog environments and access must be authenticated.

The API key is associated with the organization and the application key is associated with a user account.

The keys can be set up from the Integrations | APIs page:

Figure 4.13 – APIs page

Once the key pair is available, that can be used for authentication as you can see in the following Python code snippet:

from datadog import initialize, api
options = {
    'api_key': '<DD_API_KEY>',
    'app_key': '<DD_APPLICATION_KEY>'