feat: microservice architecture
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# Phase 6: Observability & Production Readiness
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## Overview
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Complete observability setup with OpenTelemetry, integrate error reporting with Sentry, enhance logging with correlation IDs, and add rate limiting.
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Enhance observability with full OpenTelemetry integration, add comprehensive error reporting (Sentry), create Grafana dashboards, improve logging with request correlation, add rate limiting and security hardening, and optimize performance.
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## Tasks
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## Stories
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### 6.1 OpenTelemetry Completion
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- [6.1.1 - Complete OpenTelemetry Setup](./6.1.1-complete-opentelemetry-setup.md)
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- [6.1.2 - Create Custom Spans](./6.1.2-create-custom-spans.md)
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- [6.1.3 - Add Trace Context Propagation](./6.1.3-add-trace-context-propagation.md)
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### 6.1 Enhanced Observability
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- [Story: 6.1 - Enhanced Observability](./6.1-enhanced-observability.md)
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- **Goal:** Enhance observability with full OpenTelemetry integration, comprehensive Prometheus metrics, and improved logging.
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- **Deliverables:** Complete OpenTelemetry integration, expanded metrics, enhanced logging
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### 6.2 Error Reporting (Sentry)
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- [6.2.1 - Install Sentry](./6.2.1-install-githubcomgetsentrysentry-go.md)
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- [6.2.2 - Integrate with Error Bus](./6.2.2-integrate-with-error-bus.md)
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- [6.2.3 - Add Sentry Middleware](./6.2.3-add-sentry-middleware.md)
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- [6.2.4 - Configure Sentry DSN](./6.2.4-configure-sentry-dsn-via-config.md)
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- [Story: 6.2 - Error Reporting](./6.2-error-reporting.md)
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- **Goal:** Add comprehensive error reporting with Sentry integration.
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- **Deliverables:** Sentry integration, error context enhancement
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### 6.3 Enhanced Logging
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- [6.3.1 - Add Request Correlation](./6.3.1-add-request-correlation.md)
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- [6.3.2 - Add Structured Fields](./6.3.2-add-structured-fields.md)
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- [6.3.3 - Create Log Aggregation Config](./6.3.3-create-log-aggregation-config.md)
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### 6.3 Grafana Dashboards
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- [Story: 6.3 - Grafana Dashboards](./6.3-grafana-dashboards.md)
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- **Goal:** Create comprehensive Grafana dashboards for monitoring.
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- **Deliverables:** Grafana dashboard JSON files, documentation
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### 6.4 Rate Limiting
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- [6.4.1 - Create Rate Limiter Interface](./6.4.1-create-pkgratelimitratelimitergo-interface.md)
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- [6.4.2 - Implement Redis Rate Limiter](./6.4.2-implement-internalratelimitredis_limitergo.md)
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- [6.4.3 - Add Rate Limit Middleware](./6.4.3-add-rate-limit-middleware.md)
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- [Story: 6.4 - Rate Limiting](./6.4-rate-limiting.md)
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- **Goal:** Implement rate limiting to prevent API abuse.
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- **Deliverables:** Rate limiting middleware, configuration
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### 6.5 Production Configuration
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- [6.5.1 - Create Production Config Template](./6.5.1-create-production-config-template.md)
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- [6.5.2 - Add Environment-Specific Settings](./6.5.2-add-environment-specific-settings.md)
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### 6.5 Security Hardening
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- [Story: 6.5 - Security Hardening](./6.5-security-hardening.md)
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- **Goal:** Add comprehensive security hardening.
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- **Deliverables:** Security headers, input validation, request limits
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### 6.6 Performance Optimization
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- [Story: 6.6 - Performance Optimization](./6.6-performance-optimization.md)
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- **Goal:** Optimize platform performance.
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- **Deliverables:** Connection pooling, query optimization, compression, caching
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## Deliverables Checklist
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- [ ] OpenTelemetry fully integrated with custom spans
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- [ ] Sentry error reporting working
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- [ ] Enhanced logging with correlation IDs
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- [ ] Rate limiting middleware implemented
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- [ ] Production configuration templates ready
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- [ ] All observability data flowing to external systems
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- [ ] Full OpenTelemetry integration
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- [ ] Sentry error reporting
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- [ ] Enhanced logging with correlation
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- [ ] Comprehensive Prometheus metrics
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- [ ] Grafana dashboards
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- [ ] Rate limiting
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- [ ] Security hardening
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- [ ] Performance optimizations
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## Acceptance Criteria
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- Traces are exported to OTLP endpoint
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- Errors are reported to Sentry
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- Logs include correlation IDs
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- Traces are exported and visible in Jaeger
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- Errors are reported to Sentry with context
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- Logs include request IDs and trace IDs
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- Metrics are exposed and scraped by Prometheus
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- Rate limiting prevents abuse
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- Production configs are validated
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- All metrics are exposed via Prometheus
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- Security headers are present
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- Performance meets SLA (< 100ms p95 for auth endpoints)
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