Feature: Add comprehensive performance monitoring and profiling #81

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opened 2026-08-17 10:00:11 +00:00 by nasandre · 1 comment
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Feature Request

Status: MEDIUM PRIORITY
Priority: Medium
Component: Performance & Observability

Description

Implement performance monitoring and profiling to identify bottlenecks and optimize application performance.

Required Features

  1. Performance Monitoring

    • API response time tracking
    • Database query performance monitoring
    • Frontend bundle size and load times
    • User activity and behavior analytics
  2. Profiling Tools

    • Database query profiling
    • Memory usage monitoring
    • CPU utilization tracking
    • Async task performance
  3. Alerting

    • Alert on slow API responses (>2s)
    • Alert on database slow queries (>1s)
    • Alert on memory leaks
    • Alert on performance degradation
  4. Dashboard

    • Real-time performance metrics
    • Historical performance data
    • Top slow queries
    • User engagement metrics
  • New Relic / Datadog (commercial)
  • Prometheus + Grafana (open source)
  • Application Insights (Azure)
  • Custom metrics collection

Implementation

  • Add performance middleware to Express
  • Use pg-query (already in dependencies)
  • Implement API timing headers
  • Add frontend performance hooks
## Feature Request **Status:** MEDIUM PRIORITY **Priority:** Medium **Component:** Performance & Observability ### Description Implement performance monitoring and profiling to identify bottlenecks and optimize application performance. ### Required Features 1. **Performance Monitoring** - API response time tracking - Database query performance monitoring - Frontend bundle size and load times - User activity and behavior analytics 2. **Profiling Tools** - Database query profiling - Memory usage monitoring - CPU utilization tracking - Async task performance 3. **Alerting** - Alert on slow API responses (>2s) - Alert on database slow queries (>1s) - Alert on memory leaks - Alert on performance degradation 4. **Dashboard** - Real-time performance metrics - Historical performance data - Top slow queries - User engagement metrics ### Recommended Tools - New Relic / Datadog (commercial) - Prometheus + Grafana (open source) - Application Insights (Azure) - Custom metrics collection ### Implementation - Add performance middleware to Express - Use pg-query (already in dependencies) - Implement API timing headers - Add frontend performance hooks
Owner

Automated triage (openclaw monitor):

Diagnosis

No performance monitoring or profiling infrastructure exists. The MCP server has caching metrics (MCP_CACHE_ENABLED, MCP_CACHE_TTL) but lacks comprehensive observability. Express routes have no timing instrumentation, and database queries aren't profiled. Frontend lacks performance tracking hooks.

Possible fix

  • Backend (backend/src/):
    • Add performanceMiddleware.ts to track API response times and log slow queries (>1s)
    • Integrate prom-client for Prometheus metrics (response times, error rates, throughput)
    • Enhance database.ts with query profiling using pg-query or pg-monitor
    • Create metrics.ts service to expose /api/metrics endpoint
  • Infrastructure:
    • Add Prometheus + Grafana to docker-compose.yml
    • Configure alerting rules for slow responses (>2s) and high error rates
    • Deploy Grafana dashboard for real-time and historical metrics
  • Frontend (frontend/src/):
    • Add performance hooks to track bundle load times and user interactions
    • Send frontend metrics to /api/metrics via performance API

Notes / Questions

  • Preferred monitoring stack: Prometheus/Grafana (open-source) or commercial (New Relic/Datadog)?
  • Alerting channels: email, Slack, or webhook?
  • Data retention policy for metrics?
  • Any sensitive user data to exclude from analytics?
  • Existing logging infrastructure to integrate with?
Automated triage (openclaw monitor): ## Diagnosis No performance monitoring or profiling infrastructure exists. The MCP server has caching metrics (`MCP_CACHE_ENABLED`, `MCP_CACHE_TTL`) but lacks comprehensive observability. Express routes have no timing instrumentation, and database queries aren't profiled. Frontend lacks performance tracking hooks. ## Possible fix - **Backend** (`backend/src/`): - Add `performanceMiddleware.ts` to track API response times and log slow queries (>1s) - Integrate `prom-client` for Prometheus metrics (response times, error rates, throughput) - Enhance `database.ts` with query profiling using `pg-query` or `pg-monitor` - Create `metrics.ts` service to expose `/api/metrics` endpoint - **Infrastructure**: - Add Prometheus + Grafana to `docker-compose.yml` - Configure alerting rules for slow responses (>2s) and high error rates - Deploy Grafana dashboard for real-time and historical metrics - **Frontend** (`frontend/src/`): - Add performance hooks to track bundle load times and user interactions - Send frontend metrics to `/api/metrics` via `performance API` ## Notes / Questions - Preferred monitoring stack: Prometheus/Grafana (open-source) or commercial (New Relic/Datadog)? - Alerting channels: email, Slack, or webhook? - Data retention policy for metrics? - Any sensitive user data to exclude from analytics? - Existing logging infrastructure to integrate with?
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nasandre/dnd-character-generator#81
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