Skip to content

IMPLEMENTATION_PLAN.md

Latest commit

 

History

History
433 lines (359 loc) · 11.6 KB

IMPLEMENTATION_PLAN.md

File metadata and controls

433 lines (359 loc) · 11.6 KB

Kubewatch Template-Driven Architecture - Implementation Plan

Executive Summary

This implementation plan transforms Kubewatch from hardcoded resource handling to a fully template-driven, configuration-based architecture. The plan enables 4+ developers to work in parallel with minimal coordination, delivering a production-ready system that supports custom Kubernetes resources (CRDs) in 4 weeks.

Technical Architecture

Architecture Pattern: Plugin-Based Resource System

  • Structure: Modular resource handlers driven by YAML configurations
  • Communication: Template engine for all formatting and display logic
  • Data Strategy: Unstructured dynamic client for universal resource access
  • Deployment: Single binary with embedded defaults, runtime overrides

Key Design Decisions

  1. Contract Definition: YAML-based resource configurations with JSON schema validation
  2. State Management: Generic state container using unstructured.Unstructured
  3. Authentication: Reuse existing kubeconfig handling
  4. Error Handling: Template fallbacks with error indicators
  5. Testing Strategy: Config-driven tests with mock resources

Development Workflow

Local Development Setup

1. Clone repository
2. Install dependencies: go mod download
3. Build: make build
4. Test: make test
5. Run: ./kubewatch

Deployment Process

  1. Code review with automated config validation
  2. Merge triggers CI/CD pipeline
  3. Binary built with embedded configs
  4. Release with backward compatibility

Development Conventions

  • YAML configs follow Kubernetes conventions
  • Templates use Go template syntax
  • All resources must have embedded defaults
  • User overrides in ~/.config/kubewatch/

Team Responsibilities

Backend/Config Agent

Owns: ✓ Resource configuration schema (internal/config/schema/) ✓ Configuration loading and validation (internal/config/loader/) ✓ Resource registry implementation (internal/config/registry/) ✓ Template engine K8s extensions (internal/template/k8s/)

Delivers by Stage:

  • Stage 0: Schema definitions, validation logic
  • Stage 1: Registry with embedded config loading
  • Stage 2: Override system with hot reload
  • Stage 3: CRD auto-discovery

Dependencies:

  • Needs: None (can start immediately)
  • Provides: Config schema for all other agents

Success Metrics:

  • Schema validates all resource configs
  • Registry loads configs in <100ms
  • Override system with file watching
  • 100% backward compatibility

Frontend/UI Agent

Owns: ✓ Generic resource view (internal/ui/views/generic_resource_view.go) ✓ Dynamic column generation (internal/ui/views/columns/) ✓ Template-based formatting integration ✓ Operation execution framework

Delivers by Stage:

  • Stage 0: Generic view interface design
  • Stage 1: Replace hardcoded views with generic handler
  • Stage 2: Dynamic column management
  • Stage 3: Config editor UI

Dependencies:

  • Needs: Config schema (Stage 0)
  • Needs: At least one resource config (Stage 1)
  • Provides: Generic UI for all resources

Success Metrics:

  • All 7 existing resources working
  • <10ms render time per resource
  • Zero visual regression
  • Config-driven column layout

Resource/Template Agent

Owns: ✓ Resource YAML configurations (configs/resources/embedded/) ✓ Template formatters (configs/templates/formatters/) ✓ Operation definitions for each resource ✓ Default template library

Delivers by Stage:

  • Stage 0: Pod and Deployment configs
  • Stage 1: All core resource configs
  • Stage 2: Template formatter library
  • Stage 3: CRD examples and docs

Dependencies:

  • Needs: Config schema (Stage 0)
  • Provides: Resource definitions for UI

Success Metrics:

  • All 7 resources converted to YAML
  • Templates match current formatting
  • Operations properly defined
  • Documentation for each config

Platform/Integration Agent

Owns: ✓ Build system modifications (Makefile, embed directives) ✓ Dynamic Kubernetes client (internal/k8s/dynamic/) ✓ Testing infrastructure updates ✓ CI/CD pipeline changes

Delivers by Stage:

  • Stage 0: Embed system for configs
  • Stage 1: Dynamic client implementation
  • Stage 2: Config validation in CI
  • Stage 3: Release automation

Dependencies:

  • Needs: Config structure (Stage 0)
  • Provides: Build and runtime infrastructure

Success Metrics:

  • Configs embedded in binary
  • Dynamic client handles all resources
  • CI validates all configs
  • Zero-downtime migration

Integration Schedule

Week 1: Foundation

Day 1-2: Contract Verification
- [ ] Config schema finalized (Backend agent)
- [ ] Embed system working (Platform agent)
- [ ] First resource config created (Resource agent)
- [ ] Generic view interface defined (Frontend agent)

Day 3-4: Component Integration
- [ ] Registry loads embedded configs
- [ ] Generic view renders test resource
- [ ] Dynamic client lists resources
- [ ] Template engine processes formatters

Day 5: Integration Test
- [ ] Pod resource fully working via config
- [ ] All agents sync on interfaces
- [ ] Performance baseline established

Week 2: Core Implementation

Day 1-3: Resource Migration
- [ ] All 7 resources converted to YAML
- [ ] Generic view replaces hardcoded logic
- [ ] Template formatters implemented
- [ ] Dynamic client fully integrated

Day 4-5: Testing & Polish
- [ ] All existing tests passing
- [ ] Performance targets met
- [ ] Override system functional
- [ ] Documentation updated

Week 3: Advanced Features

Day 1-2: CRD Support
- [ ] CRD discovery implemented
- [ ] Custom resource configs working
- [ ] Example CRDs documented

Day 3-4: User Experience
- [ ] Config editor UI
- [ ] Hot reload working
- [ ] Template preview
- [ ] Error handling improved

Day 5: Integration
- [ ] Full system test
- [ ] Performance optimization
- [ ] Bug fixes

Week 4: Production Ready

Day 1-2: Polish
- [ ] Final performance tuning
- [ ] Documentation complete
- [ ] Migration guide written

Day 3-4: Testing
- [ ] Full regression test
- [ ] Load testing
- [ ] User acceptance testing

Day 5: Release
- [ ] Release candidate built
- [ ] Deployment verified
- [ ] Rollback tested

Agent Coordination Protocol

Message-Based Checkpoints

coordination_protocol:
  stage_0_complete:
    backend_agent: "Schema v1.0 ready at internal/config/schema/"
    platform_agent: "Embed system ready, use //go:embed"
    resource_agent: "Pod.yaml ready at configs/resources/embedded/core/"
    frontend_agent: "GenericView interface at internal/ui/views/generic.go"
    
  stage_1_checkpoint:
    all_agents: "Pod resource working end-to-end via config"
    validation: "make test-pod-config passes"
    
  blocking_issues:
    escalation: "Post in #kubewatch-refactor channel"
    resolution: "Daily 15-min sync at 10am"

Integration Points

continuous_integration:
  on_config_change:
    - Validate YAML syntax
    - Check schema compliance
    - Test with generic view
    - Update documentation
    
  on_template_change:
    - Validate template syntax
    - Test with sample data
    - Check performance impact
    
  on_code_change:
    - Run unit tests
    - Run integration tests
    - Check backward compatibility

Risk Mitigation

Technical Risks

Risk: Template performance degradation
Mitigation: 
- Compile and cache all templates
- Benchmark every formatter
- Fallback to simple text if >10ms
Owner: Frontend Agent
Decision by: End of Week 2

Risk: Dynamic client compatibility
Mitigation:
- Test with multiple K8s versions
- Fallback to typed clients if needed
- Maintain compatibility layer
Owner: Platform Agent
Decision by: End of Week 1

Risk: Config schema evolution
Mitigation:
- Version configs from day 1
- Support multiple schema versions
- Automatic migration tools
Owner: Backend Agent
Decision by: Day 2

Operational Readiness

Pre-launch Checklist

Performance:
- [ ] All templates execute in <10ms
- [ ] Resource listing <100ms
- [ ] Memory usage <50MB base
- [ ] Startup time <2s

Compatibility:
- [ ] All existing features working
- [ ] Backward compatible with old configs
- [ ] Works with K8s 1.24+
- [ ] Handles CRDs gracefully

Quality:
- [ ] 90%+ test coverage
- [ ] No hardcoded resource logic
- [ ] All configs documented
- [ ] Migration guide complete

File Structure Ownership

kubewatch/
├── configs/                          [Resource Agent]
│   ├── resources/
│   │   └── embedded/
│   │       ├── core/
│   │       │   ├── pod.yaml
│   │       │   ├── deployment.yaml
│   │       │   └── ...
│   └── templates/
│       └── formatters/
│           ├── status.tmpl
│           ├── ready.tmpl
│           └── ...
│
├── internal/
│   ├── config/                       [Backend Agent]
│   │   ├── schema/
│   │   │   └── resource.go
│   │   ├── registry/
│   │   │   └── registry.go
│   │   └── loader/
│   │       └── loader.go
│   │
│   ├── ui/
│   │   └── views/                    [Frontend Agent]
│   │       ├── generic_resource_view.go
│   │       └── columns/
│   │           └── manager.go
│   │
│   ├── k8s/                          [Platform Agent]
│   │   └── dynamic/
│   │       └── client.go
│   │
│   └── template/                     [Backend Agent]
│       └── k8s/
│           └── functions.go
│
├── Makefile                          [Platform Agent]
└── .goreleaser.yml                   [Platform Agent]

Communication Plan

Daily Sync Points

  • 10:00 AM: 15-min standup (blockers only)
  • 2:00 PM: Integration test run
  • 5:00 PM: Progress update in Slack

Weekly Milestones

  • Monday: Week plan and task assignment
  • Wednesday: Mid-week integration test
  • Friday: Demo and retrospective

Escalation Path

  1. Try to resolve within agent (30 min)
  2. Post in Slack for help (1 hour)
  3. Schedule pair programming session
  4. Escalate to tech lead

Success Metrics

Week 1 Success

  • Schema defined and stable
  • Pod resource working via config
  • All agents have clear interfaces
  • No blocking dependencies

Week 2 Success

  • All resources converted
  • Generic view fully functional
  • Performance targets met
  • Tests passing

Week 3 Success

  • CRD support demonstrated
  • Override system working
  • Config editor functional
  • Documentation complete

Week 4 Success

  • Production ready
  • Full test coverage
  • Performance optimized
  • Zero regressions

Migration Strategy

Phase 1: Parallel Implementation

  • Keep existing code untouched
  • Build new system alongside
  • Feature flag for switching

Phase 2: Gradual Rollout

  • Enable for one resource type
  • Gather feedback and metrics
  • Fix issues before proceeding

Phase 3: Full Migration

  • Switch all resources to new system
  • Remove old hardcoded logic
  • Update documentation

Phase 4: Deprecation

  • Mark old code as deprecated
  • Provide migration tools
  • Remove in next major version

Conclusion

This implementation plan enables true parallel development with clear ownership boundaries and minimal coordination overhead. Each agent can work independently for 80% of their tasks, with well-defined integration points for the remaining 20%. The staged approach ensures continuous progress visibility and early issue detection.

Key Success Factors:

  • Clear ownership boundaries
  • Minimal shared code
  • Contract-first development
  • Continuous integration
  • Regular sync points

Expected Outcomes:

  • 4-week delivery timeline
  • 80% code reduction
  • 100% backward compatibility
  • Support for any K8s resource
  • Maintainable and extensible architecture