BE-039 — Implement Service Health Monitoring & Readiness Endpoints
📚 Overview
The Service Health Monitoring & Readiness module provides standardized health, readiness, and liveness endpoints for every TruthBounty backend service. These endpoints enable orchestration platforms, monitoring systems, and operators to determine service availability, dependency status, and operational readiness.
This module acts as the foundation of production monitoring and deployment automation.
🧠 Background
TruthBounty consists of multiple backend services including authentication, event processing, notification delivery, indexing, analytics, caching, and integrations.
In a distributed environment, simply knowing that a process is running is insufficient. Services must continuously verify that:
- required dependencies are reachable
- databases are operational
- Redis is available
- blockchain RPC providers are responding
- internal queues are functioning
- background workers are healthy
Cloud platforms, Kubernetes, Docker, GitHub Actions, and monitoring tools rely on health endpoints to make deployment and recovery decisions automatically.
🎯 Objectives
Implement a production-ready health monitoring module that:
- exposes health endpoints
- supports readiness checks
- supports liveness checks
- monitors dependencies
- reports degraded states
- exposes health metadata
- integrates with monitoring platforms
- supports graceful shutdowns
🧩 Technical Scope
1. Health Endpoint
Implement:
Return:
- application status
- version
- uptime
- timestamp
- environment
- dependency summary
2. Readiness Endpoint
Implement:
Verify:
- PostgreSQL connection
- Redis connection
- blockchain RPC connectivity
- message queue availability
- storage accessibility
- configuration validity
Return:
3. Liveness Endpoint
Implement:
Purpose:
- verify application process is alive
- lightweight execution
- no external dependency checks
- suitable for orchestration platforms
4. Dependency Checks
Monitor:
- PostgreSQL
- Redis
- Ethereum RPC
- Optimism RPC
- Drips services
- IPFS gateway
- notification providers
- webhook dispatcher
- cache service
Each dependency should expose:
- name
- status
- latency
- last successful check
- failure reason
5. Health Aggregation
Overall service state should be one of:
- Healthy
- Degraded
- Unhealthy
Aggregation should consider:
- critical dependencies
- optional dependencies
- timeout thresholds
6. Scheduled Health Checks
Run periodic health probes for:
- database
- Redis
- blockchain RPC
- storage
- external APIs
Support configurable intervals.
7. Graceful Shutdown Support
During shutdown:
- stop accepting new requests
- finish active requests
- drain queues
- disconnect cleanly
- update readiness endpoint
8. Metrics Integration
Expose metrics including:
- health check duration
- dependency latency
- failed checks
- uptime
- restart count
- readiness failures
9. Logging
Record:
- dependency failures
- degraded services
- recovery events
- startup checks
- shutdown events
10. Future Extensibility
Design for future support of:
- distributed health aggregation
- multi-region deployments
- service mesh integration
- Kubernetes probes
- Prometheus exporters
- synthetic monitoring
✅ Acceptance Criteria
- Health endpoint operational.
- Readiness endpoint validates dependencies.
- Liveness endpoint implemented.
- Dependency health reported correctly.
- Scheduled probes functioning.
- Graceful shutdown supported.
- Monitoring metrics exposed.
- Tests passing.
🧪 Testing Requirements
Implement tests covering:
- healthy state
- degraded state
- dependency failures
- readiness transitions
- liveness responses
- graceful shutdown
- timeout handling
- monitoring metrics
Coverage target: 90%+
📚 Documentation
Update:
- Backend Documentation
- Infrastructure Guide
- Deployment Guide
- Monitoring Guide
- Operations Manual
- API Documentation
🔗 Dependencies
Depends on:
- BE-021 — Implement Redis Cache & Distributed Session Management
- BE-027 — Implement API Usage Analytics Service
- BE-031 — Implement Metrics Collection Service
Blocks:
- Kubernetes Deployment
- Production Infrastructure
- Monitoring Stack
- CI/CD Deployment Validation
- Auto Scaling
🏷 Labels
- backend
- monitoring
- infrastructure
- protocol-critical
- complexity-medium
- stellar-wave
📊 Complexity
Medium
Although implementation is relatively straightforward, health monitoring becomes a critical operational component that directly impacts deployment automation, observability, and production reliability.
⏱ Estimated Effort
3–5 days
🚀 Definition of Done
- Health endpoint implemented.
- Readiness endpoint operational.
- Liveness endpoint operational.
- Dependency monitoring functional.
- Scheduled health checks implemented.
- Graceful shutdown supported.
- Monitoring metrics exposed.
- Tests passing.
- Documentation updated.
- Ready for integration with Kubernetes, monitoring platforms, CI/CD pipelines, and production infrastructure.
BE-039 — Implement Service Health Monitoring & Readiness Endpoints
📚 Overview
The Service Health Monitoring & Readiness module provides standardized health, readiness, and liveness endpoints for every TruthBounty backend service. These endpoints enable orchestration platforms, monitoring systems, and operators to determine service availability, dependency status, and operational readiness.
This module acts as the foundation of production monitoring and deployment automation.
🧠 Background
TruthBounty consists of multiple backend services including authentication, event processing, notification delivery, indexing, analytics, caching, and integrations.
In a distributed environment, simply knowing that a process is running is insufficient. Services must continuously verify that:
Cloud platforms, Kubernetes, Docker, GitHub Actions, and monitoring tools rely on health endpoints to make deployment and recovery decisions automatically.
🎯 Objectives
Implement a production-ready health monitoring module that:
🧩 Technical Scope
1. Health Endpoint
Implement:
Return:
2. Readiness Endpoint
Implement:
Verify:
Return:
3. Liveness Endpoint
Implement:
Purpose:
4. Dependency Checks
Monitor:
Each dependency should expose:
5. Health Aggregation
Overall service state should be one of:
Aggregation should consider:
6. Scheduled Health Checks
Run periodic health probes for:
Support configurable intervals.
7. Graceful Shutdown Support
During shutdown:
8. Metrics Integration
Expose metrics including:
9. Logging
Record:
10. Future Extensibility
Design for future support of:
✅ Acceptance Criteria
🧪 Testing Requirements
Implement tests covering:
Coverage target: 90%+
📚 Documentation
Update:
🔗 Dependencies
Depends on:
Blocks:
🏷 Labels
📊 Complexity
Medium
Although implementation is relatively straightforward, health monitoring becomes a critical operational component that directly impacts deployment automation, observability, and production reliability.
⏱ Estimated Effort
3–5 days
🚀 Definition of Done