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Enterprise Monitoring, Telemetry & Observability Mesh
This directory contains the production-grade observability stack for the Privacy-Preserving Cross-Bank Fraud Detection Platform (CFI), integrating Prometheus (metrics aggregation), Grafana (real-time dashboards), Alertmanager (incident routing), Loki & Promtail (structured log shipping), and Jaeger (distributed tracing).
1. Directory Structure
monitoring/
βββ README.md # Telemetry architecture, metric dictionaries & SLA alerts
βββ prometheus.yml # Prometheus server configuration & scrape targets
βββ jaeger-ui-config.json # Jaeger distributed tracing UI configuration
βββ alertmanager/
β βββ config.yml # Incident routing, alert grouping & webhook notifications
βββ prometheus/
β βββ alert_rules.yml # Prometheus SLA alert definitions (Latency, Quorum, DP, Drift)
βββ grafana/
β βββ provisioning/
β β βββ datasources/
β β β βββ datasources.yml # Auto-provisioned Prometheus, Jaeger & Loki datasources
β β βββ dashboards/
β β βββ dashboards.yml # Dashboard provider registration
β βββ dashboards/
β βββ cfi-overview.json # High-level HTTP throughput, latency p95 & error rates
β βββ cfi_operational_dashboard.json # Active bank nodes, scoring throughput & latency p50/p95/p99
β βββ cfi_privacy_budget_dashboard.json # DP epsilon consumption, budget projection & exhaustion
βββ loki/
β βββ loki-config.yml # Grafana Loki log aggregation engine configuration
βββ promtail/
βββ promtail-config.yml # Promtail container log shipping agent
2. Core Observability Components
2.1 Prometheus Metrics Scraper (prometheus.yml)
- Scrape Interval: 15s (
evaluation_interval: 15s). - Scrape Targets:
cfi-gateway(gateway:8000/metrics): Reverse proxy and public REST endpoints.cfi-fl-coordinator(fl-coordinator:8001/metrics): Federated Learning round progression and consensus.cfi-identity-graph(identity-graph:8002/metrics): Inductive GraphSAGE embeddings & UBO topology.cfi-fraud-alert(fraud-alert:8003/metrics): Real-time inference scoring, AML rules, and sanction screening.prometheus(localhost:9090): Self-monitoring.
2.2 Alert Rules & SLA Invariants (prometheus/alert_rules.yml)
The platform enforces four automated SLA alerts:
| Alert Name | Severity | Condition / PromQL | Description |
|---|---|---|---|
CFI_HighInferenceLatency |
critical |
histogram_quantile(0.95, sum(rate(cfi_inference_latency_ms_bucket[5m])) by (le)) > 100 |
Real-time transaction scoring p95 latency exceeds 100ms for > 2m. |
CFI_QuorumRisk |
warning |
cfi_active_bank_nodes < 2 |
Active participating bank nodes drop below minimum consortium quorum (2 nodes) for > 5m. |
CFI_DPBudgetDepleting |
warning |
cfi_dp_epsilon_consumed_total > 6.4 |
Differential privacy epsilon consumption exceeds 80% (6.4 / 8.0) of maximum budget. |
CFI_ModelDrift |
critical |
cfi_champion_model_auc < 0.75 |
Champion global model holdout evaluation AUC drops below critical threshold 0.75. |
2.3 Alertmanager Incident Routing (alertmanager/config.yml)
- Groups alerts by
alertnameandseverity. - Emits webhooks to
http://gateway:8000/api/v1/monitoring/alerts/webhookwithrepeat_interval: 1h.
2.4 Grafana Dashboards (grafana/dashboards/)
Auto-loaded upon container boot via Grafana provisioning:
cfi-overview.json:- HTTP Request Rate (
reqps) - Latency p95 (
ms) - Active In-Flight Requests
- HTTP Request Rate (
cfi_operational_dashboard.json:- Active Consortium Bank Nodes (Gauge: Red
<2, Yellow2, Green3+) - Real-Time Inference Latency (p50, p95, p99 timeseries)
- Transaction Scoring Volume Rate (Barchart)
- Active Consortium Bank Nodes (Gauge: Red
cfi_privacy_budget_dashboard.json:- DP Epsilon Consumed per Bank Node (Stacked barchart)
- Time to Privacy Budget Exhaustion Projection (Hours to exhaustion)
- Remaining Privacy Budget Percentage (Gauge)
2.5 Centralized Logging & Tracing
- Loki (
loki/loki-config.yml): Single-tenant TSDB engine storing compressed log chunks with 24h retention indices. - Promtail (
promtail/promtail-config.yml): Scrapes container logs from/var/log/containers/*logand streams to Loki on port 3100. - Jaeger (
jaeger-ui-config.json): Distributed trace viewer inspecting OpenTelemetry spans (cfi_grpc_request_duration_seconds, etc.).
3. Automated Verification
The monitoring configurations and dashboard schemas are continuously validated in CI:
# Run telemetry & dashboard schema verification tests
python -m pytest backend/tests/unit/test_telemetry_metrics.py -v