BE-036 — Implement Backend Performance Profiling Service
📚 Overview
The Backend Performance Profiling Service continuously measures application performance, identifies bottlenecks, profiles resource utilisation, and provides actionable insights for optimisation across the TruthBounty backend.
It serves as the primary performance engineering tool for ensuring scalability and responsiveness under increasing protocol adoption.
🧠 Background
As TruthBounty expands, maintaining low-latency APIs and efficient resource utilisation becomes increasingly important.
Profiling enables engineers to identify slow endpoints, expensive database queries, memory leaks, CPU hotspots, and inefficient asynchronous workflows before they impact production users.
🎯 Objectives
Implement a profiling service that:
- measures endpoint performance
- profiles database operations
- tracks memory usage
- analyses CPU utilisation
- identifies slow queries
- records execution traces
- exposes profiling dashboards
- supports production-safe sampling
🧩 Technical Scope
Implement profiling for:
- HTTP requests
- database queries
- Redis operations
- blockchain RPC calls
- queue processing
- background jobs
- notification delivery
- webhook execution
Provide:
- execution timelines
- flame graphs
- latency distributions
- resource utilisation
- bottleneck reports
Support:
- configurable sampling
- production-safe profiling
- historical comparisons
- performance regression detection
✅ Acceptance Criteria
- Request profiling operational.
- Database profiling available.
- Resource metrics collected.
- Performance reports generated.
- Historical comparisons supported.
- Documentation completed.
🧪 Testing Requirements
- profiler tests
- sampling validation
- performance overhead
- regression detection
- dashboard integration
Coverage target: 90%+
📚 Documentation
Update:
- Performance Guide
- Operations Manual
- Backend Documentation
- Monitoring Guide
🔗 Dependencies
- BE-011 Metrics Service
- BE-027 API Usage Analytics
- BE-030 Health Diagnostics
Blocks:
- Performance Optimisation
- Capacity Planning
- Production Monitoring
🏷 Labels
- backend
- performance
- monitoring
- complexity-high
- stellar-wave
📊 Complexity
High
This service must provide detailed profiling capabilities while maintaining minimal overhead in production environments, making it a critical observability component.
⏱ Estimated Effort
6–8 days
🚀 Definition of Done
- Profiling service implemented.
- Performance dashboards operational.
- Regression detection functioning.
- Historical profiling available.
- Documentation updated.
- Tests passing.
BE-036 — Implement Backend Performance Profiling Service
📚 Overview
The Backend Performance Profiling Service continuously measures application performance, identifies bottlenecks, profiles resource utilisation, and provides actionable insights for optimisation across the TruthBounty backend.
It serves as the primary performance engineering tool for ensuring scalability and responsiveness under increasing protocol adoption.
🧠 Background
As TruthBounty expands, maintaining low-latency APIs and efficient resource utilisation becomes increasingly important.
Profiling enables engineers to identify slow endpoints, expensive database queries, memory leaks, CPU hotspots, and inefficient asynchronous workflows before they impact production users.
🎯 Objectives
Implement a profiling service that:
🧩 Technical Scope
Implement profiling for:
Provide:
Support:
✅ Acceptance Criteria
🧪 Testing Requirements
Coverage target: 90%+
📚 Documentation
Update:
🔗 Dependencies
Blocks:
🏷 Labels
📊 Complexity
High
This service must provide detailed profiling capabilities while maintaining minimal overhead in production environments, making it a critical observability component.
⏱ Estimated Effort
6–8 days
🚀 Definition of Done