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Roadmap Item: Release 0.1 - Core Infrastructure Setup

Status

PROPOSED

Date: 2025-07-05

Changelog

Date Revision Description Author
2025-07-05 1.0 Initial version souperk

Context

As the Loryth project moves from initial development to a more mature stage, we need to establish robust infrastructure foundations to support continuous delivery and reliable deployments. This infrastructure will be critical for scaling development efforts and ensuring system reliability.

The current manual deployment and limited monitoring approaches are not sustainable as the system grows in complexity and as more developers join the project. A solid infrastructure foundation will accelerate development velocity and improve system reliability.

Proposal

Overview

Implement core infrastructure components including CI/CD pipelines, infrastructure as code, monitoring systems, and database migration automation. These components will form the foundation for reliable development, deployment, and operation of the Loryth system.

Goals

  • Establish automated build, test, and deployment pipelines for all services
  • Define infrastructure as code for all environments (development, staging, production)
  • Automate database schema migrations and versioning
  • Reduce deployment time and increase deployment frequency
  • Improve system reliability and visibility

Non-Goals

  • Implementing advanced deployment strategies (blue-green, canary) - will be addressed in future roadmap items
  • Complete performance optimization—focus is on establishing monitoring foundations
  • Production scaling beyond initial needs - will be addressed as usage grows
  • Legacy system integration—not applicable at this stage

Technical Details

Approach

CI/CD Pipelines Implementation

  • Implement multi-stage CI pipelines with:
    • Code quality checks (linting, static analysis)
    • Unit and integration test execution
    • Security scanning
    • Artifact building and versioning
  • Configure CD pipelines for automated deployment with:
    • Environment-specific configuration management
    • Deployment approval workflows for production
    • Post-deployment verification
    • Rollback capabilities

Infrastructure as Code Deployment

  • Define infrastructure using Terraform or similar IaC tool
  • Implement modular approach with reusable components
  • Establish infrastructure versioning and state management
  • Configure environment-specific variables and settings
  • Implement secure secret management

Monitoring and Observability Tools Integration

  • Implement a centralized logging system
  • Set up metrics collection and dashboards
  • Configure distributed tracing across services
  • Establish alerting and on-call procedures
  • Implement health checks and status pages

Database Migration Automation

  • Implement schema versioning using SQL scripts in a standardized migrations folder
  • Set up automated migration testing and execution
  • Establish centralized database backup and restore procedures
  • Implement migration verification and recovery mechanisms

Dependencies

  • Cloud provider accounts and access configuration
  • Team training on infrastructure as code and CI/CD practices
  • Agreement on monitoring standards and alerting thresholds
  • Selection of specific tools for each infrastructure component

Backwards Compatibility

  • The new infrastructure will be deployed alongside existing processes to ensure smooth transition
  • Database migration tools will be backward compatible with existing schema
  • Monitoring will be additive to existing approaches

Implementation Plan

Phase 1: Foundation and Design

  • Select and set up a CI / CD platform
  • Define infrastructure as code approach and tooling
  • Select database migration tools and approach

Phase 2: CI Implementation

  • Implement build and test automation for all services
  • Set up code quality checks and reporting
  • Configure artifact repositories and versioning
  • Document CI processes and standards

Phase 3: Infrastructure as Code

  • Define base infrastructure modules
  • Implement environment-specific configurations
  • Set up infrastructure state management
  • Document infrastructure design and management procedures

Phase 4: Database Automation and Finalization

  • Implement SQL-script-based migration automation
  • Set up schema version management using the vNNN naming convention
  • Configure centralized backup and restore procedures
  • Implement automated pre-migration backup system
  • Finalize documentation and knowledge transfer
  • Conduct training sessions for the team

Community Impact

For Contributors

  • New workflow for submitting and reviewing code changes
  • Improved feedback on code quality and test coverage
  • Automated deployments are reducing manual work
  • Better visibility into system behavior through monitoring
  • New tools and practices to learn (IaC, monitoring)

For Users

  • More reliable system with fewer outages
  • Faster delivery of new features and bug fixes
  • Improved visibility into system status
  • More consistent performance monitoring

Alternatives Considered

  1. Managed CI/CD Services

    • Description: Use fully managed CI/CD services instead of self-hosted
    • Pros:
      • Reduced maintenance overhead
      • Faster initial setup
      • Built-in scaling
    • Cons:
      • Potentially higher costs
      • Less customization flexibility
      • Vendor lock-in concerns
    • Why not chosen: Will evaluate as part of the implementation phase based on specific needs
  2. Manual Infrastructure with Documentation

    • Description: Continue with manual infrastructure setup but with improved documentation
    • Pros:
      • Less initial implementation effort
      • No new tools to learn
      • Simpler process for small changes
    • Cons:
      • Not scalable as system grows
      • Error-prone manual processes
      • Difficult to maintain consistency across environments
    • Why not chosen: Not sustainable for long-term growth and reliability

Open Questions

  • Which specific CI/CD platform is most appropriate for our needs?
  • Should we use container orchestration (e.g., Kubernetes) or simpler deployment models?
  • What level of monitoring granularity is appropriate for our current scale?

References