Cedar Authorization Service - Observability Implementation
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📊 THREE PILLARS OF OBSERVABILITY
================================

1. METRICS (Prometheus) - Enhanced ✨
   ├─ ✅ cedar_evaluations_total (exists)
   ├─ ✨ + decision labels {decision="Allow|Deny"}
   ├─ ✅ cedar_evaluation_duration_seconds (histogram)
   ├─ ✅ cedar_cache_hits_total{layer="L1|L2"}
   ├─ ✅ cedar_cache_misses_total
   ├─ ✨ cedar_policy_updates_total (new)
   └─ ✨ cedar_evaluation_errors_total{error_type} (new)

2. TRACING (OpenTelemetry) - New 🆕
   └─ cedar.evaluate (parent span)
      ├─ cedar.cache_check (L1)
      ├─ cedar.cache_check_redis (L2)
      └─ cedar.cedarpy_evaluate
         ├─ cedar.policy_load
         └─ cedar.authorization_check
   
   Attributes:
   • cedar.principal.type, cedar.principal.id
   • cedar.action, cedar.resource.type, cedar.resource.id
   • cedar.decision (Allow/Deny)
   • cedar.cache_hit, cedar.cache_layer
   • request.id (correlation)

3. LOGGING (Structured JSON) - New 🆕
   {
     "timestamp": "ISO8601",
     "correlation_id": "request-id",
     "trace_id": "otel-trace-id",
     "span_id": "otel-span-id",
     "event": "policy.evaluation.complete",
     "context": { "decision", "cache_hit", "duration_ms" }
   }

📁 FILE STRUCTURE
================

NEW FILES (7):
├─ middleware/
│  ├─ __init__.py
│  ├─ tracing.py              🆕 OpenTelemetry setup
│  └─ logging.py              🆕 Structured JSON logging
├─ utils/
│  └─ logging_helpers.py      🆕 Log event helpers
├─ tests/
│  ├─ unit/
│  │  ├─ test_tracing.py     🆕
│  │  ├─ test_logging.py     🆕
│  │  └─ test_metrics_enhanced.py 🆕
│  └─ performance/
│     └─ test_observability_overhead.py 🆕
└─ infra/
   ├─ grafana/
   │  └─ cedar-observability-dashboard.json 🆕
   └─ prometheus/
      └─ prometheus.yml       🆕

ENHANCED FILES (4):
├─ services/cedar_metrics.py   ✨ Add decision labels, policy updates
├─ services/cedar_evaluator.py ✨ Add tracing + structured logging
├─ main.py                     ✨ Add middleware, configure tracing
└─ requirements.txt            ✨ Add OpenTelemetry dependencies

📋 GHERKIN SCENARIOS (11 Total)
===============================

METRICS (3):
  ✅ 1. Prometheus metrics endpoint accessible
  ✅ 2. Metrics increment on evaluation
  ✅ 3. Cache hit metrics by layer

TRACING (3):
  🆕 4. OpenTelemetry span creation
  🆕 5. Nested spans for evaluation stages
  🆕 6. Batch evaluation tracing

LOGGING (3):
  🆕 7. Structured logs with correlation IDs
  🆕 8. Log event types
  🆕 9. Error logging with context

PERFORMANCE (1):
  ⚡ 10. <1ms overhead verification

INTEGRATION (1):
  ✅ 11. JSON stats endpoint for dashboards

⚡ PERFORMANCE REQUIREMENTS
==========================

Target: <1ms average overhead for ALL observability
├─ Average: <1ms per evaluation
├─ P95: <2ms per evaluation
└─ P99: <5ms per evaluation

Measurement:
1. Baseline (no observability)
2. Metrics only
3. Tracing only
4. Logging only
5. Full stack (all enabled)

📊 GRAFANA DASHBOARD (8 Panels)
==============================

1. Request Rate by Decision
2. Evaluation Latency (P50/P95/P99)
3. Cache Hit Rate (%)
4. Cache Breakdown (L1/L2/Miss)
5. Error Rate by Type
6. Decision Distribution (Allow/Deny)
7. Batch Performance
8. Policy Updates

❓ OPEN QUESTIONS (4)
====================

1. OpenTelemetry Backend: Jaeger (dev) + Cloud Trace (prod)?
2. Logging: GKE auto-collect JSON or need config?
3. Prometheus: Already deployed or new deployment?
4. Performance Testing: Where to run benchmarks?

✅ 3-PHASE WORKFLOW
===================

Phase 1: SPEC ✅ COMPLETE
├─ [x] Analyze existing implementation
├─ [x] Identify gaps (tracing, logging, enhanced metrics)
├─ [x] Create specification (1328 lines)
├─ [x] Document Gherkin scenarios (11 total)
├─ [x] Define file structure
├─ [x] Specify performance requirements
├─ [x] Design Grafana dashboard
├─ [x] Post to Issue #387
└─ [ ] 🔒 GATE: Awaiting CTO Approval

Phase 2: TEST ⏳ NEXT
├─ [ ] Write tracing tests (TDD RED)
├─ [ ] Write logging tests (TDD RED)
├─ [ ] Write enhanced metrics tests (TDD RED)
├─ [ ] Write performance benchmark
├─ [ ] Achieve 95%+ coverage
├─ [ ] All tests FAIL initially
└─ [ ] Post test evidence to Issue #387

Phase 3: IMPL ⏳ FINAL
├─ [ ] Implement tracing middleware
├─ [ ] Implement structured logging
├─ [ ] Enhance metrics
├─ [ ] Integrate with cedar_evaluator
├─ [ ] Create Grafana dashboard
├─ [ ] All tests PASS (TDD GREEN)
├─ [ ] Deploy to dev3
├─ [ ] Verify at policy-dev3.heyarchie.com/metrics
└─ [ ] Close Issue #387 with evidence

📦 DEPENDENCIES
===============

Python Packages:
├─ opentelemetry-api==1.21.0
├─ opentelemetry-sdk==1.21.0
├─ opentelemetry-instrumentation-fastapi==0.42b0
├─ opentelemetry-exporter-otlp==1.21.0
└─ opentelemetry-exporter-jaeger==1.21.0 (optional)

Infrastructure:
├─ Development:
│  ├─ Jaeger (docker-compose)
│  ├─ Prometheus
│  └─ Grafana
└─ Production:
   ├─ Google Cloud Trace
   ├─ Google Cloud Logging
   └─ Prometheus (GKE)

📚 DOCUMENTS CREATED
====================

1. /services/policy-service/docs/observability/OBSERVABILITY_SPEC.md
   └─ 1328 lines - Complete specification

2. /services/policy-service/OBSERVABILITY_SPEC_SUMMARY.md
   └─ 400+ lines - Executive summary

3. /services/policy-service/PHASE_1_SPEC_COMPLETE.md
   └─ Phase 1 completion evidence

4. GitHub Issue #387 Comment
   └─ https://github.com/heyarchie-ai/archie-platform-v3/issues/387#issuecomment-3621376581

🎯 SUCCESS CRITERIA
===================

SPEC Phase (Current): ✅
├─ [x] Comprehensive spec (1328 lines)
├─ [x] 11 Gherkin scenarios
├─ [x] File structure defined
├─ [x] Performance requirements
├─ [x] Grafana dashboard designed
├─ [x] Posted to Issue #387
├─ [ ] CTO approval ⏳
└─ [ ] Questions resolved ⏳

TEST Phase (Next): ⏳
├─ [ ] 95%+ coverage
├─ [ ] Tests FAIL (RED)
└─ [ ] Evidence posted

IMPL Phase (Final): ⏳
├─ [ ] Tests PASS (GREEN)
├─ [ ] <1ms overhead verified
├─ [ ] Deployed & verified
└─ [ ] Issue closed

===========================================================
Status: ✅ SPEC COMPLETE - Awaiting CTO Approval
Issue: #387
Agent: Observability Agent
Date: 2025-12-06
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