BE-040 — Implement Backend Health Monitoring & Diagnostics Service

[dDevAhmed]

BE-040 — Implement Backend Health Monitoring & Diagnostics Service

📚 Overview

The Backend Health Monitoring & Diagnostics Service provides a unified view of the operational health of every TruthBounty backend component. It continuously monitors infrastructure, databases, caches, message queues, blockchain connectivity, external services, and internal modules to detect failures before they impact users.

This service serves as the primary operational health endpoint for infrastructure monitoring, orchestration platforms, CI/CD pipelines, and DevOps tooling.

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🧠 Background

TruthBounty consists of numerous interconnected services including:

• Authentication
• API Gateway
• PostgreSQL
• Redis
• Event Bus
• Blockchain Indexer
• Webhook Service
• Notification Service
• Background Workers
• IPFS Gateway
• Smart Contract RPC Providers

A failure in any critical dependency can cascade across the system.

The monitoring service provides real-time diagnostics so operators can quickly identify degraded components, minimise downtime, and maintain protocol reliability.

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🎯 Objectives

Implement a comprehensive diagnostics service that:

• monitors service availability
• validates infrastructure dependencies
• detects degraded services
• reports health status
• exposes readiness and liveness probes
• performs dependency checks
• aggregates operational metrics
• integrates with monitoring platforms

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🧩 Technical Scope

1. Health Endpoints

Implement standard endpoints including:

• /health
• /health/live
• /health/ready
• /health/startup
• /health/dependencies

Each endpoint should return structured JSON responses.

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2. Database Diagnostics

Verify:

• PostgreSQL connectivity
• query execution
• migration status
• connection pool health
• replication status (future)

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3. Redis Diagnostics

Monitor:

• connectivity
• latency
• memory usage
• active clients
• cache availability
• cluster status

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4. Blockchain Connectivity

Validate:

• RPC provider availability
• block synchronisation
• network latency
• chain ID
• smart contract accessibility
• indexer synchronisation

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5. External Service Monitoring

Check:

• IPFS gateway
• notification providers
• email provider
• webhook delivery service
• analytics provider
• authentication services

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6. Background Worker Monitoring

Track:

• worker availability
• active jobs
• failed jobs
• queue latency
• retry queues
• dead-letter queues

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7. System Diagnostics

Expose:

• CPU utilisation
• memory consumption
• disk usage
• process uptime
• open file descriptors
• active threads
• event loop delay

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8. Aggregated Status

Return one of:

• Healthy
• Degraded
• Maintenance
• Unhealthy

Overall status should be determined from all monitored components.

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9. Monitoring Integrations

Support integrations with:

• Prometheus
• Grafana
• Kubernetes
• Docker
• GitHub Actions
• CI/CD pipelines

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10. Future Extensibility

Design for:

• distributed health aggregation
• multi-region deployments
• predictive failure detection
• AI-powered diagnostics
• automated recovery
• self-healing infrastructure

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✅ Acceptance Criteria

• Health endpoints operational.
• Dependency checks function correctly.
• Database diagnostics available.
• Redis diagnostics available.
• Blockchain connectivity verified.
• Background workers monitored.
• External services validated.
• Monitoring integrations functional.
• Tests pass successfully.

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🧪 Testing Requirements

Implement tests covering:

• health endpoints
• dependency failures
• degraded services
• database outages
• Redis outages
• blockchain connectivity failures
• worker failures
• monitoring integrations
• diagnostic aggregation

Target 90%+ test coverage.

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📚 Documentation

Update:

• Backend Documentation
• Operations Guide
• Infrastructure Documentation
• Monitoring Guide
• Deployment Documentation
• Incident Response Guide

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🔗 Dependencies

Depends on:

• BE-006 — Implement Centralised Logging Service
• BE-011 — Implement Metrics Collection Service
• BE-021 — Implement Redis Cache & Distributed Session Management
• BE-027 — Implement API Usage Analytics Service
• BE-039 — Implement Production Deployment & Configuration Management

Blocks:

• Production Deployment
• Kubernetes Deployment
• Auto Scaling
• Monitoring Dashboards
• Incident Response
• DevOps Automation

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🏷 Labels

• backend
• monitoring
• devops
• architecture
• complexity-medium
• stellar-wave

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📊 Complexity

Medium

Although implementation is technically straightforward, the service must reliably aggregate diagnostics from every critical backend dependency while remaining lightweight and highly available.

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⏱ Estimated Effort

4–6 days

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🚀 Definition of Done

• Health monitoring service implemented.
• All health endpoints operational.
• Infrastructure diagnostics available.
• Dependency monitoring functioning.
• Monitoring integrations completed.
• Tests passing.
• Documentation updated.
• Ready for production deployment and continuous infrastructure monitoring.

[Netty-kun]

@Netty-kun has applied to work on this issue as part of the Stellar Wave Program's 7th wave.

Hi Maintainer, I'd be glad to handle this issue. I've reviewed the requirements and am confident in the implementation. I'll start immediately if assigned, provide progress updates, and submit a well-tested PR without unnecessary delay.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Netty-kun to this issue.

[omoh5]

@omoh5 has applied to work on this issue as part of the Stellar Wave Program's 7th wave.

Please can you assign this to me please!!!!!!!!!!!!
Thank you very much

ℹ️ Repo Maintainers: To accept this application, review their application or assign @omoh5 to this issue.

[Meet-hybrid]

@Meet-hybrid has applied to work on this issue as part of the Stellar Wave Program's 7th wave.

Can I work on this please?

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Meet-hybrid to this issue.

[Guddy1-tech]

@Guddy1-tech has applied to work on this issue as part of the Stellar Wave Program's 7th wave.

Hi! I'm a full-stack developer with experience in backend (Go, Java, SQL, REST APIs) and frontend (JavaScript/TypeScript, React). I'd like to take on this issue. I'll review the existing implementation, develop a clean and maintainable solution, verify it through testing, and submit a well-documented PR that follows the project's contribution guidelines.

ℹ️ Repo Maintainers: To accept this application, review their application or assign @Guddy1-tech to this issue.

[lishmanTech]

@lishmanTech has applied to work on this issue as part of the Stellar Wave Program's 7th wave.

Hello

I would want to help you work on this issue

ℹ️ Repo Maintainers: To accept this application, review their application or assign @lishmanTech to this issue.

[drips-wave]

Congratulations, @lishmanTech! 🎉 Your application was accepted by the repo's maintainers, and the issue is due on July 30, 2026.

🧑‍💻 @lishmanTech: Please resolve the issue such that the repo's maintainers have enough time to review your contribution before the due date. You'll earn Points for completing the issue on-time, which will make you eligible for a share of the Stellar Wave Program's reward pool.

Warning

When opening a PR, please link it to this issue to ensure it gets tracked accurately. Points are awarded when this issue is marked as completed by the maintainer.

🤠 Repo maintainers: Please keep an eye on the contributor's progress and review their work before the due date. You can manage this issue, including adjusting its complexity and points, here.

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