Issue #20: Add Prometheus Metrics Export Integration [7](#header-7)

[fuzziecoder]

🎯 Issue Summary

Integrate Prometheus metrics export for monitoring pipeline performance and system health.

📋 Current Behavior

No standardized metrics export for external monitoring systems.

Missing Capabilities:

• No Prometheus metrics endpoint
• No time-series metrics collection
• No integration with Grafana

✨ Proposed Solution

Add Prometheus metrics exporter with:

• Standard /metrics endpoint
• Pipeline execution metrics
• System resource metrics
• Custom business metrics

🔧 Technical Requirements

1. Prometheus Client

• Add prometheus-client to requirements.txt
• Create backend/monitoring/prometheus.py
• Initialize metrics registry

2. Metric Definitions

• pipeline_executions_total (Counter) - by status, pipeline_id
• pipeline_execution_duration_seconds (Histogram) - by pipeline_id
• pipeline_active_executions (Gauge)
• pipeline_stage_duration_seconds (Histogram) - by stage_name
• api_request_duration_seconds (Histogram) - by endpoint

3. Instrumentation

• Instrument pipeline executor
• Instrument API endpoints
• Track stage-level metrics
• Add custom labels (pipeline_id, status, stage_name)

4. Metrics Endpoint

• Add GET /metrics endpoint
• Return Prometheus text format
• Include process metrics (CPU, memory)

5. Grafana Dashboard

• Create Grafana dashboard JSON
• Add panels for success rate, duration, throughput
• Include alerting rules

📝 Acceptance Criteria

• ✅ /metrics endpoint returns Prometheus format
• ✅ All pipeline executions tracked with labels
• ✅ Metrics scraped by Prometheus successfully
• ✅ Grafana dashboard displays metrics
• ✅ Documentation for setup

🏷️ Labels

apertre3.0 Medium enhancement integration monitoring

💡 Implementation Example

# backend/monitoring/prometheus.py  [8](#header-8)
from prometheus_client import Counter, Histogram, Gauge, generate_latest  
  
pipeline_executions = Counter(  
    'pipeline_executions_total',  
    'Total pipeline executions',  
    ['pipeline_id', 'status']  
)  
  
pipeline_duration = Histogram(  
    'pipeline_execution_duration_seconds',  
    'Pipeline execution duration',  
    ['pipeline_id']  
)  
  
# In executor:  [9](#header-9)
pipeline_executions.labels(pipeline_id=id, status='success').inc()  
pipeline_duration.labels(pipeline_id=id).observe(duration)  
  
# Endpoint:  [10](#header-10)
@router.get("/metrics")  
async def metrics():  
    return Response(content=generate_latest(), media_type="text/plain")
📚 Resources
[Prometheus Python Client](https://github.com/prometheus/client_python)
[Prometheus Best Practices](https://prometheus.io/docs/practices/naming/)

---  
  
## Notes  [11](#header-11)
  
These integration issues focus on connecting FlexiRoaster with external services mentioned in the architecture diagram at [4-cite-1](#4-cite-1)  (PostgreSQL, Redis, RabbitMQ, S3). Each issue provides production-ready integrations for notifications (Slack), CI/CD (GitHub), storage (S3), and monitoring (Prometheus).   
  
Wiki pages you might want to explore:  
- [Architecture Overview (fuzziecoder/Flexi-Roaster)](/wiki/fuzziecoder/Flexi-Roaster#3)




[README.md](https://github.com/fuzziecoder/Flexi-Roaster/blob/7da37f1f/README.md#L24-L59)
Flexi-Roaster

[KalpanaBhaskar]

Hello, Im Kalpana, an Aperte contributor. Can u please assign this issue to me? I'm interested in understanding the issue and finding a solution

[fuzziecoder]

Assigned to you @KalpanaBhaskar