Phil Skentelbery
b0230b1233
Implements the metrics instrumentation framework that was missing from v1.1.1. The monitoring framework existed but was never actually used to collect metrics. Phase 1 Deliverables: - Database operation monitoring with query timing and slow query detection - HTTP request/response metrics with request IDs for all requests - Memory monitoring via daemon thread with configurable intervals - Business metrics framework for notes, feeds, and cache operations - Configuration management with environment variable support Implementation Details: - MonitoredConnection wrapper at pool level for transparent DB monitoring - Flask middleware hooks for HTTP metrics collection - Background daemon thread for memory statistics (skipped in test mode) - Simple business metric helpers for integration in Phase 2 - Comprehensive test suite with 28/28 tests passing Quality Metrics: - 100% test pass rate (28/28 tests) - Zero architectural deviations from specifications - <1% performance overhead achieved - Production-ready with minimal memory impact (~2MB) Architect Review: APPROVED with excellent marks Documentation: - Implementation report: docs/reports/v1.1.2-phase1-metrics-implementation.md - Architect review: docs/reviews/2025-11-26-v1.1.2-phase1-review.md - Updated CHANGELOG.md with Phase 1 additions 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
220 lines
6.8 KiB
Markdown
220 lines
6.8 KiB
Markdown
# StarPunk v1.1.2 Release Plan Options
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## Executive Summary
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Three distinct paths forward from v1.1.1 "Polish", each addressing the critical metrics instrumentation gap while offering different value propositions:
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- **Option A**: "Observatory" - Complete observability with full metrics + distributed tracing
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- **Option B**: "Syndicate" - Fix metrics + expand syndication with ATOM and JSON feeds
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- **Option C**: "Resilient" - Fix metrics + add robustness features (backup/restore, rate limiting)
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---
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## Option A: "Observatory" - Complete Observability Stack
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### Theme
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Transform StarPunk into a fully observable system with comprehensive metrics, distributed tracing, and actionable insights.
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### Scope
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**12-14 hours**
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### Features
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- ✅ **Complete Metrics Instrumentation** (4 hours)
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- Instrument all database operations with timing
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- Add HTTP client/server request metrics
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- Implement memory monitoring thread
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- Add business metrics (notes created, syndication success rates)
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- ✅ **Distributed Tracing** (4 hours)
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- OpenTelemetry integration for request tracing
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- Trace context propagation through all layers
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- Correlation IDs for log aggregation
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- Jaeger/Zipkin export support
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- ✅ **Smart Alerting** (2 hours)
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- Threshold-based alerts for key metrics
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- Alert history and acknowledgment system
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- Webhook notifications for alerts
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- ✅ **Performance Profiling** (2 hours)
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- CPU and memory profiling endpoints
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- Flame graph generation
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- Query analysis tools
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### User Value
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- **For Operators**: Complete visibility into system behavior, proactive problem detection
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- **For Developers**: Easy debugging with full request tracing
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- **For Users**: Better reliability through early issue detection
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### Risks
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- Requires learning OpenTelemetry concepts
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- May add slight performance overhead (typically <1%)
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- Additional dependencies for tracing libraries
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---
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## Option B: "Syndicate" - Enhanced Content Distribution
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### Theme
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Fix metrics and expand StarPunk's reach with multiple syndication formats, making content accessible to more readers.
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### Scope
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**14-16 hours**
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### Features
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- ✅ **Complete Metrics Instrumentation** (4 hours)
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- Instrument all database operations with timing
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- Add HTTP client/server request metrics
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- Implement memory monitoring thread
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- Add syndication-specific metrics
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- ✅ **ATOM Feed Support** (4 hours)
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- Full ATOM 1.0 specification compliance
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- Parallel generation with RSS
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- Content negotiation support
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- Feed validation tools
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- ✅ **JSON Feed Support** (4 hours)
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- JSON Feed 1.1 implementation
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- Author metadata support
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- Attachment handling for media
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- Hub support for real-time updates
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- ✅ **Feed Enhancements** (2-4 hours)
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- Feed statistics dashboard
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- Custom feed URLs/slugs
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- Feed caching layer
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- OPML export for feed lists
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### User Value
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- **For Publishers**: Reach wider audience with multiple feed formats
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- **For Readers**: Choose preferred feed format for their reader
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- **For IndieWeb**: Better ecosystem compatibility
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### Risks
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- More complex content negotiation logic
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- Feed format validation complexity
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- Potential for feed generation performance issues
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---
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## Option C: "Resilient" - Operational Excellence
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### Theme
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Fix metrics and add critical operational features for data protection and system stability.
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### Scope
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**12-14 hours**
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### Features
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- ✅ **Complete Metrics Instrumentation** (4 hours)
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- Instrument all database operations with timing
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- Add HTTP client/server request metrics
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- Implement memory monitoring thread
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- Add backup/restore metrics
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- ✅ **Backup & Restore System** (4 hours)
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- Automated SQLite backup with rotation
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- Point-in-time recovery
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- Export to IndieWeb-compatible formats
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- Restore validation and testing
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- ✅ **Rate Limiting & Protection** (3 hours)
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- Per-endpoint rate limiting
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- Sliding window implementation
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- DDoS protection basics
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- Graceful degradation under load
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- ✅ **Data Transformer Refactor** (1 hour)
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- Fix technical debt from hotfix
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- Implement proper contract pattern
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- Add transformer tests
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- ✅ **Operational Utilities** (2 hours)
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- Database vacuum scheduling
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- Log rotation configuration
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- Disk space monitoring
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- Graceful shutdown handling
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### User Value
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- **For Operators**: Peace of mind with automated backups and protection
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- **For Users**: Data safety and system reliability
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- **For Self-hosters**: Production-ready operational features
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### Risks
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- Backup strategy needs careful design to avoid data loss
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- Rate limiting could affect legitimate users if misconfigured
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- Additional background tasks may increase resource usage
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---
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## Comparison Matrix
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| Aspect | Observatory | Syndicate | Resilient |
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|--------|------------|-----------|-----------|
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| **Primary Focus** | Observability | Content Distribution | Operational Safety |
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| **Metrics Fix** | ✅ Complete | ✅ Complete | ✅ Complete |
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| **New Features** | Tracing, Profiling | ATOM, JSON feeds | Backup, Rate Limiting |
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| **Complexity** | High (new concepts) | Medium (new formats) | Low (straightforward) |
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| **External Deps** | OpenTelemetry | Feed validators | None |
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| **User Impact** | Indirect (better ops) | Direct (more readers) | Indirect (reliability) |
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| **Performance** | Slight overhead | Neutral | Improved (rate limiting) |
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| **IndieWeb Value** | Medium | High | Medium |
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---
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## Recommendation Framework
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### Choose **Observatory** if:
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- You're running multiple StarPunk instances
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- You need to debug production issues
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- You value deep system insights
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- You're comfortable with observability tools
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### Choose **Syndicate** if:
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- You want maximum reader compatibility
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- You're focused on content distribution
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- You need modern feed formats
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- You want to support more IndieWeb tools
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### Choose **Resilient** if:
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- You're running in production
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- You value data safety above features
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- You need protection against abuse
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- You want operational peace of mind
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---
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## Implementation Notes
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### All Options Include:
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1. **Metrics Instrumentation** (identical across all options)
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- Database operation timing
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- HTTP request/response metrics
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- Memory monitoring thread
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- Business metrics relevant to option theme
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2. **Version Bump** to v1.1.2
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3. **Changelog Updates** following versioning strategy
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4. **Documentation** for new features
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5. **Tests** for all new functionality
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### Phase Breakdown
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Each option can be delivered in 2-3 phases:
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**Phase 1** (4-6 hours): Metrics instrumentation + planning
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**Phase 2** (4-6 hours): Core new features
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**Phase 3** (4 hours): Polish, testing, documentation
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---
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## Decision Deadline
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Please select an option by reviewing:
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1. Your operational priorities
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2. Your user community needs
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3. Your comfort with complexity
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4. Available time for implementation
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Each option is designed to be completable in 2-3 focused work sessions while delivering distinct value to different stakeholder groups. |