Welcome to the DataDog HealthCheck Deployer project! This tool enables automated deployment and management of DataDog health checks, synthetic tests, and SLOs using configuration as code.

DataDog HealthCheck Deployer is a Python package that allows you to define, version, and deploy DataDog health checks using YAML/JSON configuration files. It integrates seamlessly with our existing datadog-monitor-deployer and datadog-dashboard-deployer tools, providing a complete solution for DataDog resource management.

• Health Check Management: Define and deploy various types of health checks

  • HTTP/HTTPS endpoint monitoring
  • SSL certificate verification
  • DNS health checks
  • TCP/UDP port monitoring
  • Multi-step API tests

• Synthetic Testing: Comprehensive synthetic monitoring capabilities

  • Browser-based checks
  • API availability tests
  • Custom assertion logic
  • Response validation
  • Performance benchmarking

• SLO Integration: Seamless SLO management

  • Availability tracking
  • Latency monitoring
  • Error budgets
  • Compliance reporting
  • Historical tracking

• Enterprise Features: Production-ready capabilities

  • Multi-region deployment
  • Custom locations support
  • Secure credential handling
  • CI/CD integration
  • Version controlled configurations

• Installation Guide
• Getting Started Guide
• First Health Check
• Configuration Guide

• Health Check Examples
• HTTP Checks
• SSL Checks
• DNS Checks
• TCP Checks

• Templating Guide
• Best Practices
• Architecture
• Security
• Integration with Monitor Deployer
• Integration with Dashboard Deployer

• CLI Reference
• API Reference
• Troubleshooting

• Contributing
• Support
• License

• AI Assessment

# Install the package
pip install datadog-healthcheck-deployer

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

# Deploy your first health check
dd-healthcheck deploy healthcheck.yaml

For more detailed instructions, visit our Getting Started Guide.

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