Datadog Cloud Monitoring Quick Start Guide: Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

A comprehensive guide to rolling out Datadog to monitor infrastructure and applications running in both cloud and datacenter environments

Key Features

• Learn Datadog to proactively monitor your infrastructure and cloud services
• Use Datadog as a platform for aggregating monitoring efforts in your organization
• Leverage Datadog's alerting service to implement on-call and site reliability engineering (SRE) processes

Book Description

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.

What you will learn

• Understand monitoring fundamentals, including metrics, monitors, alerts, and thresholds
• Implement core monitoring requirements using Datadog features
• Explore Datadog's integration with cloud platforms and tools
• Extend Datadog using custom scripting and standards such as JMX and StatsD
• Discover how proactive monitoring can be rolled out using various Datadog features
• Understand how Datadog can be used to monitor microservices in both Docker and Kubernetes environments
• Get to grips with advanced Datadog features such as APM and Security Monitoring

Who this book is for

This book is for DevOps engineers, site reliability engineers (SREs), IT Production engineers, software developers and architects, cloud engineers, system administrators, and anyone looking to monitor and visualize their infrastructure and applications with Datadog. Basic working knowledge of cloud and infrastructure is useful. Working experience of Linux distribution and some scripting knowledge is required to fully take advantage of the material provided in the book.

Thomas has over 15 years of experience in software development and operations engineering, and currently focussed on Cloud Engineering and DevOps. He has architected, developed, and rolled out automation tools and processes at startups and large companies. He led and mentored engineering teams to successful completion of large DevOps and monitoring projects. He contributes regularly to tech blogs on latest trends and best practices on his areas of expertise.

Table of Contents

1. Introduction to Monitoring
2. Datadog Agent
3. Datadog Dashboard
4. Account Management
5. Metrics, Events and Tags
6. Monitoring Infrastructure
7. Monitors and Alerts
8. Integrating with Platform Components
9. Using Datadog HTTP API
10. Working with Monitoring Standards
11. Integrating with Datadog
12. Advanced Container Monitoring
13. Log Management using Datadog
14. Miscellaneous Monitoring Features