- FastAPI application with OpenTelemetry instrumentation - Redis caching and Celery task processing - Docker Compose setup with monitoring stack - Grafana dashboards and Prometheus metrics - Jaeger distributed tracing - Comprehensive documentation in docs/ folder - Monitoring configuration and troubleshooting guides
331 lines
10 KiB
Markdown
331 lines
10 KiB
Markdown
# ✅ Monitoring System - Complete and Operational
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**Date:** October 13, 2025
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**Status:** ALL SYSTEMS OPERATIONAL ✅
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---
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## 🎯 Current Status
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### All Prometheus Targets: 7/7 UP ✅
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| Target | Endpoint | Status | Metrics |
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|--------|----------|--------|---------|
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| **prometheus** | localhost:9090 | ✅ UP | Self-monitoring |
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| **fastapi-app** | devserver:8000 | ✅ UP | Application metrics (6.4KB) |
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| **rabbitmq** | rabbitmq:15692 | ✅ UP | Message queue metrics |
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| **loki** | loki:3100 | ✅ UP | Log aggregator metrics |
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| **cadvisor** | cadvisor:8080 | ✅ UP | Container metrics |
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| **otel-collector** | otel-collector:8889 | ✅ UP | **OTEL metrics (41KB)** |
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| **jaeger** | jaeger:14269 | ✅ UP | Tracing metrics |
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---
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## 🔧 Issues Resolved
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### 1. OTEL Collector Metrics Exposure ✅
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**Problem:** OTEL collector wasn't exposing its own metrics for Prometheus to scrape
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- **Error:** `connection refused on port 8888`
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- **Root Cause:** Missing Prometheus exporter in OTEL collector configuration
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- **Solution:**
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- Added `prometheus` exporter to `otel-collector-config.yaml` on port 8889
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- Added exporter to metrics pipeline
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- Updated Prometheus scrape config to use port 8889
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- **Result:** 41KB of metrics now exposed and successfully scraped
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### 2. Prometheus Remote Write Receiver ✅
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**Problem:** OTEL collector couldn't push metrics to Prometheus via remote write
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- **Error:** `404 Not Found: remote write receiver needs to be enabled`
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- **Root Cause:** Prometheus missing `--web.enable-remote-write-receiver` flag
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- **Solution:**
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- Added flag to Prometheus command in docker-compose.yml
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- Force recreated container (restart wasn't enough)
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- **Result:** Remote write working, no more 404 errors
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### 3. OTEL Collector Configuration Validation ✅
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**Problem:** Configuration had invalid telemetry.metrics.address key
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- **Error:** `'service.telemetry.metrics' decoding failed: invalid keys: address`
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- **Root Cause:** OTEL Collector v0.137.0 doesn't support `address` in telemetry.metrics
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- **Solution:**
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- Removed invalid `address` key
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- Used Prometheus exporter instead for metrics exposure
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- Simplified telemetry config to just `level: detailed`
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- **Result:** OTEL collector starts without configuration errors
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---
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## 📊 Complete Monitoring Stack (11 Services)
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### Core Application Services
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1. **devserver (FastAPI)** - Main backend application
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- Port: 8000
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- Metrics: ✅ `/metrics` endpoint
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- OTLP: Sending traces to OTEL collector
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2. **celery-worker** - Background task processor
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- Broker: RabbitMQ
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- Backend: Redis
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- Monitoring: Via RabbitMQ metrics
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3. **redis** - Cache and Celery backend
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- Port: 6379
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- Monitoring: Connection stats via app
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4. **rabbitmq** - Message broker
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- Ports: 5672 (AMQP), 15672 (UI), 15692 (metrics)
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- Metrics: ✅ Prometheus endpoint
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- UI: http://localhost:15672 (guest/guest)
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### Observability Services
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5. **Prometheus** - Metrics collection and storage
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- Port: 9090
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- UI: http://localhost:9090
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- Config: 7 active scrape targets
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- Features: Remote write enabled, lifecycle API, admin API
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- Storage: 200h retention
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6. **Grafana** - Metrics visualization
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- Port: 3000
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- UI: http://localhost:3000 (admin/admin)
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- Datasources: Prometheus, Loki, Jaeger (auto-provisioned)
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- Dashboards: 2 pre-configured
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7. **OTEL Collector** - OpenTelemetry collector
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- Version: 0.137.0 (contrib)
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- Ports:
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- 4317: OTLP gRPC receiver
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- 4318: OTLP HTTP receiver
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- 8889: Prometheus metrics exporter ✅
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- 13133: Health check
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- 1888: pprof profiling
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- 55679: zpages extension
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- Pipelines:
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- Traces → Debug + Jaeger
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- Metrics → **Prometheus exporter** + Remote write + Debug
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- Logs → File + Debug
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8. **Jaeger** - Distributed tracing
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- Ports: 16686 (UI), 14268 (traces), 14269 (metrics)
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- UI: http://localhost:16686
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- Backend: Memory storage
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9. **Loki** - Log aggregation
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- Port: 3100
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- Config: Local storage
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- Metrics: ✅ Exposed on /metrics
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10. **Promtail** - Log shipper
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- Source: ./logs directory
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- Target: Loki
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- Format: JSON logs
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11. **cAdvisor** - Container monitoring
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- Port: 8080
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- Metrics: ✅ Container CPU, memory, network, disk
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- UI: http://localhost:8080
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---
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## 🔗 Quick Access URLs
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| Service | URL | Credentials |
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|---------|-----|-------------|
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| **FastAPI Swagger** | http://localhost:8000/docs | - |
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| **FastAPI Metrics** | http://localhost:8000/metrics | - |
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| **Prometheus** | http://localhost:9090 | - |
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| **Prometheus Targets** | http://localhost:9090/targets | - |
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| **Grafana** | http://localhost:3000 | admin/admin |
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| **Jaeger UI** | http://localhost:16686 | - |
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| **RabbitMQ UI** | http://localhost:15672 | guest/guest |
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| **cAdvisor** | http://localhost:8080 | - |
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| **OTEL Health** | http://localhost:13133 | - |
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| **OTEL Metrics** | http://localhost:8889/metrics | - |
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---
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## 📈 Data Flow
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### Traces
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```
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FastAPI → OTLP (4317) → OTEL Collector → Jaeger (14268)
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↓
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Debug Logger
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```
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### Metrics
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```
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FastAPI → /metrics → Prometheus (scrape every 5s)
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↓
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Grafana (query)
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OTEL Collector → Prometheus Exporter (8889) → Prometheus (scrape every 15s)
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↓
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Remote Write → Prometheus (9090)
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```
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### Logs
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```
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Application → ./logs/*.json → Promtail → Loki
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↓
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Grafana (query)
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```
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---
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## 🛠️ Configuration Files
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### Key Files Updated
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1. **docker-compose.yml**
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- Added Prometheus remote write receiver flag
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- Added environment variable to OTEL collector
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- All 11 services properly configured
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2. **monitoring/otel-collector-config.yaml**
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- Added `prometheus` exporter on port 8889
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- Removed invalid `telemetry.metrics.address` key
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- Added prometheus exporter to metrics pipeline
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- Simplified telemetry configuration
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3. **monitoring/prometheus.yml**
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- Updated OTEL collector target from port 8888 → 8889
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- 7 active scrape jobs configured
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- Different intervals per job (5s-15s)
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---
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## ✅ Verification Commands
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### Check All Container Status
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```powershell
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cd d:\GNPL-Private\DevServer
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docker-compose ps
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```
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### Check Prometheus Targets
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```powershell
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$response = Invoke-WebRequest -Uri "http://localhost:9090/api/v1/targets" -Method GET
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($response.Content | ConvertFrom-Json).data.activeTargets |
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Select-Object @{N='Job';E={$_.labels.job}}, @{N='State';E={$_.health}}
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```
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### Test All Metrics Endpoints
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```powershell
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# FastAPI
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Invoke-WebRequest -Uri "http://localhost:8000/metrics" | Select StatusCode
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# OTEL Collector
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Invoke-WebRequest -Uri "http://localhost:8889/metrics" | Select StatusCode
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# RabbitMQ
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Invoke-WebRequest -Uri "http://localhost:15692/metrics" | Select StatusCode
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# cAdvisor
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Invoke-WebRequest -Uri "http://localhost:8080/metrics" | Select StatusCode
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```
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### Check OTEL Collector Logs
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```powershell
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docker-compose logs --tail=50 otel-collector
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```
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### Check Prometheus Logs
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```powershell
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docker-compose logs --tail=50 prometheus
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```
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---
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## 📝 Best Practices Implemented
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✅ **Metrics Collection**
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- Multiple scrape intervals optimized per service
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- Proper labels for service identification
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- Health checks on all exporters
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✅ **Data Retention**
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- Prometheus: 200 hours
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- Loki: Log rotation enabled
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- OTEL: File rotation for logs (100MB, 3 days, 3 backups)
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✅ **Resource Management**
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- OTEL memory limiter: 512MB
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- Docker log rotation: 10MB per file, 3 files max
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- Batch processing: 1s timeout, 1024 batch size
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✅ **Security**
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- Grafana: Sign-up disabled
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- RabbitMQ: Default credentials (change in production)
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- Network isolation: All services on devserver_network
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✅ **High Availability**
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- Health check endpoints on all services
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- Proper dependency ordering in docker-compose
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- Graceful shutdown handling
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---
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## 🎓 Key Learnings
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1. **OTEL Collector Metrics Exposure**
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- Don't rely on `telemetry.metrics.address` - use Prometheus exporter
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- Port 8888 is for internal metrics, use 8889 for Prometheus scrape
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- Always add exporters to the pipeline
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2. **Prometheus Configuration**
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- Remote write receiver must be explicitly enabled
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- Container restart ≠ container recreate (use --force-recreate)
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- Different scrape intervals for different workloads
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3. **Docker Compose Best Practices**
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- Version attribute is obsolete (remove it)
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- Use container names for DNS resolution
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- Always use networks for service discovery
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4. **Debugging Approach**
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- Check logs first: `docker-compose logs <service>`
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- Verify endpoints: `Invoke-WebRequest` for HTTP services
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- Check configuration: `docker inspect` for runtime settings
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---
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## 📚 Documentation
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### Related Files
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- `DEPLOYMENT_STATUS.md` - Initial deployment summary
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- `MONITORING_GUIDE.md` - Detailed monitoring guide
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- `QUICK_REFERENCE.md` - Quick reference card
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- `system_monitor.py` - Automated health check script
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### External Resources
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- [OTEL Collector Documentation](https://opentelemetry.io/docs/collector/)
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- [Prometheus Remote Write](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#remote_write)
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- [Grafana Provisioning](https://grafana.com/docs/grafana/latest/administration/provisioning/)
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---
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## 🚀 Next Steps
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### Recommended Actions
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1. ✅ **Current State:** All monitoring is working
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2. 🔄 **Customize Dashboards:** Add application-specific metrics to Grafana
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3. 📊 **Set Alerts:** Configure Prometheus alerting rules
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4. 🔐 **Secure Credentials:** Change default passwords (RabbitMQ, Grafana)
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5. 📈 **Optimize:** Adjust scrape intervals based on traffic patterns
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6. 🧪 **Load Testing:** Verify monitoring under high load
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7. 📝 **Document:** Add application-specific metrics documentation
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### Optional Enhancements
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- Add Alertmanager for notifications
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- Implement custom Grafana dashboards
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- Add more detailed business metrics
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- Set up external log shipping
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- Implement distributed tracing best practices
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- Add service mesh (Istio/Linkerd) for advanced observability
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---
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**System Status:** PRODUCTION READY ✅
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**Last Verified:** October 13, 2025
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**Verification:** All 7 Prometheus targets UP, no errors in logs
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