feat: implement backend health monitoring, diagnostics, and background job processing

[lishmanTech]

feat: implement backend health monitoring, diagnostics, and background job processing

Summary

This PR introduces the foundational infrastructure for backend operational reliability by implementing a distributed background job processing system alongside comprehensive health monitoring, readiness, liveness, and diagnostics services.

The implementation establishes a production-ready architecture for asynchronous task execution, infrastructure health validation, operational diagnostics, and service observability. It improves system resilience, enables deployment automation, and provides standardized health endpoints for Kubernetes, monitoring platforms, and CI/CD pipelines.

What Changed

Background Job Scheduler & Worker System

• Implemented distributed background job scheduling infrastructure
• Added asynchronous queue processing architecture
• Introduced worker processors for background task execution
• Added delayed and scheduled job support
• Implemented retry mechanisms with configurable backoff strategies
• Added queue monitoring and job lifecycle management
• Improved scalability for long-running backend operations

Backend Health Check & Readiness Service

• Added /health endpoint for overall service status
• Added /health/live liveness probe
• Added /health/ready readiness probe
• Implemented dependency validation framework
• Added health aggregation logic for service status reporting
• Exposed uptime, environment, version, and timestamp metadata

Service Health Monitoring & Readiness

• Added dependency health monitoring for backend infrastructure
• Implemented latency tracking for critical services
• Added scheduled dependency health probes
• Implemented graceful shutdown readiness handling
• Added monitoring metrics integration points
• Improved operational visibility across backend services

Backend Health Monitoring & Diagnostics

• Added diagnostics endpoints for infrastructure monitoring
• Implemented database diagnostics
• Added Redis diagnostics
• Added blockchain RPC connectivity checks
• Added external service validation
• Added background worker diagnostics
• Added system-level diagnostics for runtime monitoring
• Designed extensible monitoring architecture for future integrations

Infrastructure Coverage

The monitoring system is designed to validate and report the health of critical backend dependencies, including:

• PostgreSQL
• Redis
• Blockchain RPC providers
• Background workers
• Event processing infrastructure
• Notification services
• Webhook services
• Object storage
• IPFS gateway
• External integrations

Benefits

• Improves production reliability
• Enables Kubernetes readiness and liveness probes
• Reduces API latency through asynchronous processing
• Improves observability and operational diagnostics
• Supports automated deployments and recovery workflows
• Provides a scalable foundation for future background services
• Enhances monitoring and infrastructure visibility

Future Enhancements

The architecture has been designed to support future additions such as:

• Prometheus metrics exporters
• Grafana dashboards
• Distributed worker scaling
• Multi-region health aggregation
• Advanced queue dashboards
• Predictive diagnostics
• Automated recovery workflows

Closes

• Closes BE-039 — Implement Service Health Monitoring & Readiness Endpoints #305
• Closes BE-040 — Implement Backend Health Monitoring & Diagnostics Service #306
• Closes 🧠 Background #307
• Closes BE-038 — Implement Background Job Scheduler & Worker System #309