CloudSnooze Development Roadmap

This document outlines the planned development roadmap for CloudSnooze. The roadmap is organized into phases, with each phase building upon the previous one.

Completed Features

  • ✅ Core system monitoring (CPU, memory, network, disk I/O)
  • ✅ Configuration structure and loading
  • ✅ Basic daemon architecture
  • ✅ Socket API infrastructure
  • ✅ AWS instance metadata integration
  • ✅ Input activity monitoring (Linux, macOS)
  • ✅ GPU monitoring (NVIDIA, AMD)
  • ✅ Tag-based monitoring for external tools
  • ✅ Documentation for external tool integration

Next Steps

Phase 1: Core Functionality Completion

  1. Implement Unit Testing Framework

    • Set up testing infrastructure for Go components
    • Add tests for core monitoring modules
    • Implement integration tests for the system as a whole

  2. Complete AWS SDK Integration

    • Replace placeholder code with actual AWS SDK calls
    • Implement instance stopping functionality
    • Add proper tag management through the SDK
    • Implement IAM permission verification

  3. Enhance CLI Command Implementation

    • Complete the status command with live data
    • Implement configuration management commands
    • Add history retrieval functionality
    • Create help and documentation commands

  4. Add Logging Implementation

    • Implement file-based logging with rotation
    • Add syslog integration
    • Implement CloudWatch logging for AWS
    • Add proper error handling throughout the codebase

Phase 2: Packaging and Distribution

  1. Create Packaging Scripts

    • Develop DEB packaging for Debian-based systems
    • Implement RPM packaging for Red Hat-based systems
    • Add installation instructions
    • Create configuration templates

  2. Systemd Integration

    • Finalize the systemd service configuration
    • Add proper signal handling
    • Implement graceful startup and shutdown
    • Create service management documentation

Phase 3: User Experience

  1. Develop Electron GUI

    • Create basic UI layout
    • Implement real-time monitoring dashboard
    • Add configuration management interface
    • Develop historical data visualization

  2. Document Installation Process

    • Create comprehensive installation guides
    • Add configuration walkthroughs
    • Develop troubleshooting documentation
    • Create user manual

Phase 4: Expansion

  1. Plugin Framework Implementation

    • Create plugin architecture for extensible idle detection
    • Develop plugin manager for discovery and lifecycle management
    • Implement both native Go and external process plugins
    • Provide SDK and examples for plugin developers
    • See Plugin Architecture for details

  2. Event-Driven Plugin Framework

  • Implement cloud event monitoring (AWS Spot interrupts, etc.)
  • Develop event dispatch and handling system
  • Create plugins for graceful shutdowns and data preservation
  • Add prioritized event handling for critical operations
  • See Event Framework Roadmap for details
  1. Expand Cloud Provider Support
  • Add GCP integration
  • Implement Azure support
  • Create abstraction layer for multi-cloud deployments
  • Test and document cross-cloud functionality

  1. External Integration Framework

    • Implement webhook system for event notifications
    • Add direct integrations with Slack and Microsoft Teams
    • Develop connectors for automation platforms (Zapier, Make.com)
    • Create extensible API for third-party systems
    • See Integration Roadmap for details

  2. Advanced Features

    • Implement predictive idle detection
    • Add scheduled operation policies
    • Create cost savings reports
    • Develop administrator dashboard

Future Considerations

  • Multi-instance coordination and orchestrated shutdowns
  • Cost optimization suggestions and automatic instance bidding
  • Instance right-sizing recommendations based on usage patterns
  • Integration with cost management tools
  • Mobile app for remote monitoring and control
  • REST API for third-party integrations
  • Webhook notifications for important events
  • Team collaboration with permission levels
  • Machine learning for predictive idle detection and event forecasting
  • Infrastructure as Code integration (Terraform, CloudFormation)
  • Tagged instance groups with different policies
  • Instance resume functionality
  • Cost analytics dashboard
  • Advanced event correlation for complex cloud environments
  • Plugin marketplace with rating system
  • Cross-instance event propagation for distributed systems
  • Custom event source plugins for application-specific monitoring
  • Automated application-aware recovery after spot interruptions

Contributing

If you’re interested in contributing to CloudSnooze, please focus on the tasks in the current phase. Check the GitHub issues for specific tasks that need attention.

Roadmap Status

This roadmap was last updated on: April 20, 2025

Please note that this roadmap is subject to change based on user feedback and development priorities.