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DataDog Monitor Deployer

Welcome to the DataDog Monitor Deployer project! This tool enables automated deployment and management of DataDog monitors using configuration as code.

Overview

DataDog Monitor Deployer is a Python package that allows you to define, version, and deploy DataDog monitors using YAML/JSON configuration files. It integrates seamlessly with CI/CD pipelines (particularly GitHub Actions) to automate monitor management in your DataDog environment.

Key Features

• Configuration as Code: Define monitors using YAML/JSON configuration files
• Automated Deployment: Deploy monitors automatically via GitHub Actions
• Version Control: Track monitor changes through Git
• Secure Credentials Management: Handle DataDog API credentials securely
• Templating Support: Create dynamic monitor messages using templating
• Extensible Architecture: Easy to extend and customize

Documentation

Getting Started

• Installation Guide
• Getting Started Guide
• First Monitor
• Configuration Guide

Monitor Examples

• Monitor Examples
• Metric Monitors
• Log Monitors
• APM Monitors

Advanced Topics

• Templating Guide
• Best Practices
• Architecture
• Security

Reference

• CLI Reference
• API Reference
• Troubleshooting

Project Information

• Contributing
• Support
• License

AI Assessment

• AI Assessment

Quick Start

# Install the package
pip install datadog-monitor-deployer

# Set up credentials
export DD_API_KEY='your-api-key'
export DD_APP_KEY='your-app-key'

# Deploy your first monitor
dd-monitor deploy monitor.yaml

For more detailed instructions, visit our Getting Started Guide.

Community and Support

• GitHub Issues - Bug reports and feature requests
• GitHub Discussions - Community discussions and questions
• Support - Additional support resources and contact information

Project Status