⚡ Epic: Performance Profiling Dashboard
Goal
Build a performance profiling dashboard with flame graphs, slow query analysis, bottleneck identification, resource utilization heatmaps, and actionable performance recommendations.
Why Now?
- 1.4.0 Theme: "Performance" is a milestone goal
- Optimization: Can't optimize what you can't measure
- Troubleshooting: Performance issues need specialized tooling
- Proactive: Identify bottlenecks before they cause outages
📖 User Stories
US-1: Request Flame Graphs
As a developer
I want to view flame graphs for requests
So that I can identify where time is spent
Acceptance Criteria:
- Flame graph visualization for tool invocations
- Show time breakdown by component
- Drill down into specific spans
- Compare flame graphs across requests
- Filter by endpoint, tool, time range
US-2: Slow Request Analysis
As an operations engineer
I want to identify and analyze slow requests
So that I can optimize performance
Acceptance Criteria:
- List slowest requests (configurable threshold)
- Show request details and timing
- Group by endpoint/tool
- Trending slow requests
- Alert on slow request spikes
US-3: Resource Utilization Heatmaps
As an operations engineer
I want to visualize resource utilization over time
So that I can identify patterns and bottlenecks
Acceptance Criteria:
- CPU utilization heatmap
- Memory utilization heatmap
- Connection pool usage
- Database query times
- Time-of-day patterns visible
US-4: Bottleneck Identification
As a developer
I want automatic bottleneck identification
So that I know where to focus optimization efforts
Acceptance Criteria:
- Identify slowest components
- Highlight resource contention
- Show dependency bottlenecks
- Rank by impact
- Suggest optimizations
US-5: Performance Recommendations
As a developer
I want actionable performance recommendations
So that I know how to improve performance
Acceptance Criteria:
- Auto-generated recommendations
- Based on observed patterns
- Prioritized by impact
- Links to relevant documentation
- Track recommendation status
📋 Implementation Tasks
Phase 1: Data Collection
Phase 2: Flame Graphs
Phase 3: Slow Request Analysis
Phase 4: Heatmaps
Phase 5: Recommendations
⚙️ Performance Data Model
{
"trace_id": "uuid",
"request": {
"method": "POST",
"path": "/tools/invoke",
"tool": "database-query",
"duration_ms": 450
},
"spans": [
{ "name": "auth", "duration_ms": 5 },
{ "name": "rate_limit_check", "duration_ms": 2 },
{ "name": "plugin_pre_invoke", "duration_ms": 15 },
{ "name": "tool_execution", "duration_ms": 400 },
{ "name": "plugin_post_invoke", "duration_ms": 10 },
{ "name": "response_serialize", "duration_ms": 3 }
],
"resources": {
"cpu_percent": 45,
"memory_mb": 512,
"db_connections": 8
}
}Recommendation Example
⚡ Performance Recommendations
1. HIGH IMPACT: Enable caching for 'database-query' tool
- 340 requests/hour to same endpoint
- Avg response time: 450ms
- Estimated improvement: 60% reduction in latency
[Enable Caching] [Dismiss] [Learn More]
2. MEDIUM IMPACT: Increase connection pool size
- Connection wait time: 120ms avg
- Pool exhaustion: 12 times/hour
- Recommendation: Increase from 10 to 25
[Apply] [Dismiss] [Learn More]
✅ Success Criteria
📚 References
⚡ Epic: Performance Profiling Dashboard
Goal
Build a performance profiling dashboard with flame graphs, slow query analysis, bottleneck identification, resource utilization heatmaps, and actionable performance recommendations.
Why Now?
📖 User Stories
US-1: Request Flame Graphs
As a developer
I want to view flame graphs for requests
So that I can identify where time is spent
Acceptance Criteria:
US-2: Slow Request Analysis
As an operations engineer
I want to identify and analyze slow requests
So that I can optimize performance
Acceptance Criteria:
US-3: Resource Utilization Heatmaps
As an operations engineer
I want to visualize resource utilization over time
So that I can identify patterns and bottlenecks
Acceptance Criteria:
US-4: Bottleneck Identification
As a developer
I want automatic bottleneck identification
So that I know where to focus optimization efforts
Acceptance Criteria:
US-5: Performance Recommendations
As a developer
I want actionable performance recommendations
So that I know how to improve performance
Acceptance Criteria:
📋 Implementation Tasks
Phase 1: Data Collection
Phase 2: Flame Graphs
Phase 3: Slow Request Analysis
Phase 4: Heatmaps
Phase 5: Recommendations
⚙️ Performance Data Model
{ "trace_id": "uuid", "request": { "method": "POST", "path": "/tools/invoke", "tool": "database-query", "duration_ms": 450 }, "spans": [ { "name": "auth", "duration_ms": 5 }, { "name": "rate_limit_check", "duration_ms": 2 }, { "name": "plugin_pre_invoke", "duration_ms": 15 }, { "name": "tool_execution", "duration_ms": 400 }, { "name": "plugin_post_invoke", "duration_ms": 10 }, { "name": "response_serialize", "duration_ms": 3 } ], "resources": { "cpu_percent": 45, "memory_mb": 512, "db_connections": 8 } }Recommendation Example
✅ Success Criteria
📚 References