BE-016 — Implement Protocol Health & System Monitoring API
📚 Overview
The Protocol Health & System Monitoring API provides comprehensive visibility into the operational health of the TruthBounty infrastructure.
As TruthBounty evolves into a distributed ecosystem comprising smart contracts, backend services, blockchain indexers, AI services, analytics, governance, and notification systems, operators require a centralised interface for monitoring system health, performance, availability, and operational incidents.
The Monitoring API aggregates metrics from infrastructure and application services without becoming responsible for protocol state.
The Protocol Health API will become the dependency for:
- Operations Dashboard
- Administration Portal
- DevOps Monitoring
- AI Operations Assistant
- Incident Response Platform
- Alerting Service
- Analytics Dashboard
Every operational service assumes monitoring data is accurate, timely, and reflects the current health of the platform.
🧠 Background
TruthBounty V2 consists of multiple independent services including:
- API Gateway
- Authentication Service
- PostgreSQL
- Redis
- Blockchain Indexer
- Smart Contract RPC connections
- Governance Service
- Analytics Service
- AI Assistant
- Notification Service
- Background Workers
Failure within any component can affect contributor experience.
A dedicated monitoring layer provides proactive visibility into failures before they impact users.
The Monitoring API should expose operational metrics but must never modify protocol behaviour.
🎯 Objectives
Implement a production-ready Monitoring API that:
- exposes service health
- reports infrastructure metrics
- monitors protocol services
- aggregates operational statistics
- exposes readiness and liveness endpoints
- supports observability tooling
- enables alerting integrations
- returns standardised API responses
🧩 Technical Scope
1. Health Endpoints
Implement:
Return overall system status together with individual service health.
2. Service Health Monitoring
Monitor:
- API Gateway
- PostgreSQL
- Redis
- Blockchain Indexer
- Notification Service
- AI Assistant
- Analytics Service
- Governance Service
- Background Workers
Each service should expose independent health information.
3. Infrastructure Metrics
Collect:
- CPU usage
- memory usage
- disk usage
- network traffic
- process count
- container status
- uptime
Support future Kubernetes deployments.
4. Database Monitoring
Expose:
- active connections
- slow queries
- replication status
- storage utilisation
- query latency
- migration status
5. Blockchain Monitoring
Track:
- RPC availability
- latest indexed block
- indexing delay
- chain synchronisation
- failed blockchain requests
- smart contract connectivity
6. Queue Monitoring
Monitor:
- Redis queues
- notification queues
- background jobs
- failed jobs
- retry queues
- queue processing latency
7. Performance Metrics
Expose:
- API response time
- request throughput
- error rate
- cache hit ratio
- worker execution time
- websocket connections
8. Alert Integration
Support integration with:
- Prometheus
- Grafana
- Alertmanager
- OpenTelemetry
- Datadog
- external monitoring systems
Alert thresholds should be configurable.
9. Historical Metrics
Provide historical monitoring for:
- uptime
- response latency
- resource utilisation
- service availability
- indexing performance
Support configurable reporting periods.
10. API Standardisation
Return consistent response objects containing:
- health status
- metrics
- timestamps
- service metadata
- version information
- request identifier
Errors must follow backend API standards.
✅ Acceptance Criteria
- Health endpoints function correctly.
- Infrastructure metrics are available.
- Database monitoring operates correctly.
- Blockchain monitoring reports accurately.
- Queue metrics are exposed.
- Performance statistics are available.
- Monitoring integrations function correctly.
- Unit and integration tests pass.
🧪 Testing Requirements
Implement tests covering:
- health endpoints
- readiness checks
- liveness checks
- infrastructure monitoring
- blockchain monitoring
- queue monitoring
- metrics aggregation
- alert integrations
- concurrent requests
- performance benchmarking
📚 Documentation
Update:
- Backend API Documentation
- Monitoring Architecture
- OpenAPI Specification
- DevOps Guide
- Operations Runbook
- Incident Response Guide
🔗 Dependencies
Depends on:
- BE-002 — Implement PostgreSQL Database Infrastructure
- BE-003 — Implement Blockchain Indexing Service
- BE-004 — Implement Redis Cache & Distributed Session Layer
- BE-012 — Implement Analytics API
- BE-014 — Implement Notification & Event Delivery Service
- BE-015 — Implement Administration & Moderation API
Blocks:
- Operations Dashboard
- Administration Portal
- AI Operations Assistant
- DevOps Monitoring
- Incident Response Platform
- Infrastructure Observability
🏷 Labels
- backend
- architecture
- monitoring
- protocol-critical
- complexity-medium
- stellar-wave
📊 Complexity
Medium
The Monitoring API provides operational visibility across the entire TruthBounty ecosystem by aggregating infrastructure, application, blockchain, and queue metrics into a unified interface. It is critical for maintaining reliability, observability, and proactive incident management without influencing protocol state.
⏱ Estimated Effort
5–6 days
🚀 Definition of Done
- Health endpoints implemented.
- Infrastructure monitoring operational.
- Blockchain monitoring integrated.
- Queue metrics available.
- Performance metrics exposed.
- Prometheus/OpenTelemetry compatibility implemented.
- Monitoring dashboards supported.
- Tests passing.
- Documentation updated.
- Ready for integration with the Operations Dashboard, Administration Portal, DevOps tooling, AI Operations Assistant, and Incident Response Platform.
BE-016 — Implement Protocol Health & System Monitoring API
📚 Overview
The Protocol Health & System Monitoring API provides comprehensive visibility into the operational health of the TruthBounty infrastructure.
As TruthBounty evolves into a distributed ecosystem comprising smart contracts, backend services, blockchain indexers, AI services, analytics, governance, and notification systems, operators require a centralised interface for monitoring system health, performance, availability, and operational incidents.
The Monitoring API aggregates metrics from infrastructure and application services without becoming responsible for protocol state.
The Protocol Health API will become the dependency for:
Every operational service assumes monitoring data is accurate, timely, and reflects the current health of the platform.
🧠 Background
TruthBounty V2 consists of multiple independent services including:
Failure within any component can affect contributor experience.
A dedicated monitoring layer provides proactive visibility into failures before they impact users.
The Monitoring API should expose operational metrics but must never modify protocol behaviour.
🎯 Objectives
Implement a production-ready Monitoring API that:
🧩 Technical Scope
1. Health Endpoints
Implement:
/health/ready/liveReturn overall system status together with individual service health.
2. Service Health Monitoring
Monitor:
Each service should expose independent health information.
3. Infrastructure Metrics
Collect:
Support future Kubernetes deployments.
4. Database Monitoring
Expose:
5. Blockchain Monitoring
Track:
6. Queue Monitoring
Monitor:
7. Performance Metrics
Expose:
8. Alert Integration
Support integration with:
Alert thresholds should be configurable.
9. Historical Metrics
Provide historical monitoring for:
Support configurable reporting periods.
10. API Standardisation
Return consistent response objects containing:
Errors must follow backend API standards.
✅ Acceptance Criteria
🧪 Testing Requirements
Implement tests covering:
📚 Documentation
Update:
🔗 Dependencies
Depends on:
Blocks:
🏷 Labels
📊 Complexity
Medium
The Monitoring API provides operational visibility across the entire TruthBounty ecosystem by aggregating infrastructure, application, blockchain, and queue metrics into a unified interface. It is critical for maintaining reliability, observability, and proactive incident management without influencing protocol state.
⏱ Estimated Effort
5–6 days
🚀 Definition of Done