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michaelschiemer/deployment/stacks/monitoring/README.md

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# Stack 6: Monitoring (Portainer + Grafana + Prometheus)
Comprehensive monitoring stack for infrastructure and application observability.
## Overview
This stack provides complete monitoring and visualization capabilities for the entire infrastructure:
- **Prometheus**: Time-series metrics collection and alerting
- **Grafana**: Metrics visualization with pre-configured dashboards
- **Portainer**: Container management UI
- **Node Exporter**: Host system metrics (CPU, memory, disk, network)
- **cAdvisor**: Container resource usage metrics
- **Alertmanager**: Alert routing and management (via Prometheus)
## Features
### Prometheus
- Multi-target scraping (node-exporter, cadvisor, traefik)
- 15-second scrape interval for near real-time metrics
- 15-day retention period
- Pre-configured alert rules for critical conditions
- Built-in alerting engine
- Service discovery via static configs
- HTTPS support with BasicAuth protection
### Grafana
- Pre-configured Prometheus datasource
- Three comprehensive dashboards:
- **Docker Containers**: Container CPU, memory, network I/O, restarts
- **Host System**: System CPU, memory, disk, network, uptime
- **Traefik**: Request rates, response times, status codes, error rates
- Auto-provisioning (no manual configuration needed)
- HTTPS access via Traefik
- 30-second auto-refresh
- Dark theme for reduced eye strain
### Portainer
- Web-based Docker management UI
- Container start/stop/restart/logs
- Stack management and deployment
- Volume and network management
- Resource usage visualization
- HTTPS access via Traefik
### Node Exporter
- Host system metrics:
- CPU usage by core and mode
- Memory usage and available memory
- Disk usage by filesystem
- Network I/O by interface
- System load averages
- System uptime
### cAdvisor
- Container metrics:
- CPU usage per container
- Memory usage per container
- Network I/O per container
- Disk I/O per container
- Container restart counts
- Container health status
## Services
| Service | Domain | Port | Purpose |
|---------|--------|------|---------|
| Grafana | grafana.michaelschiemer.de | 3000 | Metrics visualization |
| Prometheus | prometheus.michaelschiemer.de | 9090 | Metrics collection |
| Portainer | portainer.michaelschiemer.de | 9000/9443 | Container management |
| Node Exporter | - | 9100 | Host metrics (internal) |
| cAdvisor | - | 8080 | Container metrics (internal) |
## Prerequisites
- Traefik stack deployed and running (Stack 1)
- Docker networks: `traefik-public`, `monitoring`
- Docker Swarm initialized (if using swarm mode)
- Domain DNS configured (grafana/prometheus/portainer subdomains)
## Directory Structure
```
monitoring/
├── docker-compose.yml # Main stack definition
├── .env.example # Environment template
├── prometheus/
│ ├── prometheus.yml # Prometheus configuration
│ └── alerts.yml # Alert rules
├── grafana/
│ ├── provisioning/
│ │ ├── datasources/
│ │ │ └── prometheus.yml # Auto-configured datasource
│ │ └── dashboards/
│ │ └── dashboard.yml # Dashboard provisioning
│ └── dashboards/
│ ├── docker-containers.json # Container metrics dashboard
│ ├── host-system.json # Host metrics dashboard
│ └── traefik.json # Traefik metrics dashboard
└── README.md # This file
```
## Configuration
### 1. Create Environment File
```bash
cp .env.example .env
```
### 2. Configure Environment Variables
Edit `.env` and set the following variables:
```bash
# Domain Configuration
DOMAIN=michaelschiemer.de
# Grafana Configuration
GRAFANA_ADMIN_USER=admin
GRAFANA_ADMIN_PASSWORD=<generate-strong-password>
# Prometheus Configuration
PROMETHEUS_USER=admin
PROMETHEUS_PASSWORD=<generate-strong-password>
# Portainer Configuration
PORTAINER_ADMIN_PASSWORD=<generate-strong-password>
# Network Configuration
TRAEFIK_NETWORK=traefik-public
MONITORING_NETWORK=monitoring
```
### 3. Generate Strong Passwords
```bash
# Generate random passwords
openssl rand -base64 32
# For Prometheus BasicAuth (bcrypt hash)
docker run --rm httpd:alpine htpasswd -nbB admin "your-password" | cut -d ":" -f 2
```
### 4. Update Traefik BasicAuth (Optional)
If using Prometheus BasicAuth, add the bcrypt hash to Traefik labels in docker-compose.yml:
```yaml
- "traefik.http.middlewares.prometheus-auth.basicauth.users=admin:$$2y$$05$$..."
```
## Deployment
### Deploy Stack
```bash
cd /home/michael/dev/michaelschiemer/deployment/stacks/monitoring
# Deploy with Docker Compose
docker compose up -d
# Or with Docker Stack (Swarm mode)
docker stack deploy -c docker-compose.yml monitoring
```
### Verify Deployment
```bash
# Check running containers
docker compose ps
# Check service logs
docker compose logs -f grafana
docker compose logs -f prometheus
# Check Prometheus targets
curl -u admin:password https://prometheus.michaelschiemer.de/api/v1/targets
```
### Initial Access
1. **Grafana**: https://grafana.michaelschiemer.de
- Login: `admin` / `<GRAFANA_ADMIN_PASSWORD>`
- Dashboards are pre-loaded and ready to use
2. **Prometheus**: https://prometheus.michaelschiemer.de
- BasicAuth: `admin` / `<PROMETHEUS_PASSWORD>`
- Check targets at `/targets`
- View alerts at `/alerts`
3. **Portainer**: https://portainer.michaelschiemer.de
- First login: Set admin password
- Connect to local Docker environment
## Usage
### Grafana Dashboards
#### Docker Containers Dashboard
Access: https://grafana.michaelschiemer.de/d/docker-containers
**Metrics Displayed**:
- Container CPU Usage % (per container, timeseries)
- Container Memory Usage (bytes per container, timeseries)
- Containers Running (current count, stat)
- Container Restarts in 5m (rate with thresholds, stat)
- Container Network I/O (RX/TX per container, timeseries)
**Use Cases**:
- Identify containers with high resource usage
- Monitor container stability (restart rates)
- Track network bandwidth consumption
- Verify all expected containers are running
#### Host System Dashboard
Access: https://grafana.michaelschiemer.de/d/host-system
**Metrics Displayed**:
- CPU Usage % (historical and current)
- Memory Usage % (historical and current)
- Disk Usage % (root filesystem, historical and current)
- Network I/O (RX/TX by interface)
- System Uptime (seconds since boot)
**Thresholds**:
- Green: < 80% usage
- Yellow: 80-90% usage
- Red: > 90% usage
**Use Cases**:
- Monitor server health and resource utilization
- Identify resource bottlenecks
- Plan capacity upgrades
- Track system stability (uptime)
#### Traefik Dashboard
Access: https://grafana.michaelschiemer.de/d/traefik
**Metrics Displayed**:
- Request Rate by Service (req/s, timeseries)
- Response Time p95/p99 (milliseconds, timeseries)
- HTTP Status Codes (2xx/4xx/5xx stacked, color-coded)
- Service Status (Up/Down per service)
- Requests per Minute (total)
- 4xx Error Rate (percentage)
- 5xx Error Rate (percentage)
- Active Services (count)
**Thresholds**:
- 4xx errors: Green < 5%, Yellow < 10%, Red ≥ 10%
- 5xx errors: Green < 1%, Yellow < 5%, Red ≥ 5%
**Use Cases**:
- Monitor HTTP traffic patterns
- Identify performance issues (high latency)
- Track error rates and types
- Verify service availability
### Prometheus Queries
#### Common PromQL Examples
**CPU Usage**:
```promql
# Overall CPU usage
100 - (avg(rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100)
# Per-core CPU usage
rate(node_cpu_seconds_total[5m]) * 100
```
**Memory Usage**:
```promql
# Memory usage percentage
100 - ((node_memory_MemAvailable_bytes / node_memory_MemTotal_bytes) * 100)
# Memory available in GB
node_memory_MemAvailable_bytes / 1024 / 1024 / 1024
```
**Disk Usage**:
```promql
# Disk usage percentage
100 - ((node_filesystem_avail_bytes{mountpoint="/"} / node_filesystem_size_bytes{mountpoint="/"}) * 100)
# Disk I/O rate
rate(node_disk_io_time_seconds_total[5m])
```
**Container Metrics**:
```promql
# Container CPU usage
sum(rate(container_cpu_usage_seconds_total{name!~".*exporter.*"}[5m])) by (name) * 100
# Container memory usage
sum(container_memory_usage_bytes{name!~".*exporter.*"}) by (name)
# Container network I/O
rate(container_network_receive_bytes_total[5m])
rate(container_network_transmit_bytes_total[5m])
```
**Traefik Metrics**:
```promql
# Request rate by service
sum(rate(traefik_service_requests_total[5m])) by (service)
# Response time percentiles
histogram_quantile(0.95, sum(rate(traefik_service_request_duration_seconds_bucket[5m])) by (service, le))
# Error rate
sum(rate(traefik_service_requests_total{code=~"5.."}[5m])) / sum(rate(traefik_service_requests_total[5m])) * 100
```
### Alert Management
#### Configured Alerts
Alerts are defined in `prometheus/alerts.yml`:
1. **HostHighCPU**: CPU usage > 80% for 5 minutes
2. **HostHighMemory**: Memory usage > 80% for 5 minutes
3. **HostDiskSpaceLow**: Disk usage > 80%
4. **ContainerHighCPU**: Container CPU > 80% for 5 minutes
5. **ContainerHighMemory**: Container memory > 80% for 5 minutes
6. **ServiceDown**: Service unavailable
7. **HighErrorRate**: Error rate > 5% for 5 minutes
#### View Active Alerts
```bash
# Via Prometheus UI
https://prometheus.michaelschiemer.de/alerts
# Via API
curl -u admin:password https://prometheus.michaelschiemer.de/api/v1/alerts
# Check alert rules
curl -u admin:password https://prometheus.michaelschiemer.de/api/v1/rules
```
#### Silence Alerts
Use Prometheus UI or API to silence alerts during maintenance:
```bash
# Silence via API (example)
curl -X POST -u admin:password \
https://prometheus.michaelschiemer.de/api/v1/alerts \
-d 'alertname=HostHighCPU&duration=1h'
```
### Portainer Usage
#### Container Management
1. Navigate to https://portainer.michaelschiemer.de
2. Select "Local" environment
3. Go to "Containers" section
4. Available actions:
- Start/Stop/Restart containers
- View logs (live stream)
- Inspect container details
- Execute commands in containers
- View resource statistics
#### Stack Management
1. Go to "Stacks" section
2. View deployed stacks
3. Actions available:
- View stack definition
- Update stack (edit compose file)
- Stop/Start entire stack
- Remove stack
#### Volume Management
1. Go to "Volumes" section
2. View volume details and size
3. Browse volume contents
4. Backup/restore volumes
## Integration with Other Stacks
### Stack 1: Traefik
- Provides HTTPS reverse proxy for Grafana, Prometheus, Portainer
- Automatic SSL certificate management
- BasicAuth middleware for Prometheus
### Stack 2: Gitea
- Monitor Gitea container resources
- Track HTTP requests to Gitea via Traefik dashboard
- Alert on Gitea service downtime
### Stack 3: Docker Registry
- Monitor registry container resources
- Track registry HTTP requests
- Alert on registry unavailability
### Stack 4: Application
- Monitor PHP-FPM, Nginx, Redis, Worker containers
- Track application response times
- Monitor queue worker health
### Stack 5: PostgreSQL
- Monitor database container resources
- Track PostgreSQL metrics (if postgres_exporter added)
- Alert on database unavailability
## Monitoring Best Practices
### 1. Regular Dashboard Review
- Check dashboards daily for anomalies
- Review error rates and response times
- Monitor resource utilization trends
### 2. Alert Configuration
- Tune alert thresholds based on baseline metrics
- Avoid alert fatigue (too many non-critical alerts)
- Document alert response procedures
### 3. Capacity Planning
- Review resource usage trends weekly
- Plan capacity upgrades before hitting limits
- Monitor growth rates for proactive scaling
### 4. Performance Optimization
- Identify containers with high resource usage
- Optimize slow endpoints (high p95/p99 latency)
- Balance load across services
### 5. Security Monitoring
- Monitor failed authentication attempts
- Track unusual traffic patterns
- Review service availability trends
## Troubleshooting
### Grafana Issues
#### Dashboard Not Loading
```bash
# Check Grafana logs
docker compose logs grafana
# Verify datasource connection
curl http://localhost:3000/api/health
# Restart Grafana
docker compose restart grafana
```
#### Missing Metrics
```bash
# Check Prometheus datasource
curl http://prometheus:9090/api/v1/targets
# Verify Prometheus is scraping
docker compose logs prometheus | grep "Scrape"
# Check network connectivity
docker compose exec grafana ping prometheus
```
### Prometheus Issues
#### Targets Down
```bash
# Check target status
curl -u admin:password https://prometheus.michaelschiemer.de/api/v1/targets
# Verify target services are running
docker compose ps
# Check Prometheus configuration
docker compose exec prometheus cat /etc/prometheus/prometheus.yml
# Reload configuration
curl -X POST -u admin:password https://prometheus.michaelschiemer.de/-/reload
```
#### High Memory Usage
```bash
# Check Prometheus memory
docker stats prometheus
# Reduce retention period in docker-compose.yml:
# --storage.tsdb.retention.time=7d
# Reduce scrape interval in prometheus.yml:
# scrape_interval: 30s
```
### Node Exporter Issues
#### No Host Metrics
```bash
# Check node-exporter is running
docker compose ps node-exporter
# Test metrics endpoint
curl http://localhost:9100/metrics
# Check Prometheus scraping
docker compose logs prometheus | grep node-exporter
```
### cAdvisor Issues
#### No Container Metrics
```bash
# Check cAdvisor is running
docker compose ps cadvisor
# Test metrics endpoint
curl http://localhost:8080/metrics
# Verify Docker socket mount
docker compose exec cadvisor ls -la /var/run/docker.sock
```
### Portainer Issues
#### Cannot Access UI
```bash
# Check Portainer is running
docker compose ps portainer
# Check Traefik routing
docker compose -f ../traefik/docker-compose.yml logs
# Verify network connectivity
docker network ls | grep monitoring
```
#### Cannot Connect to Docker
```bash
# Verify Docker socket permissions
ls -la /var/run/docker.sock
# Check Portainer logs
docker compose logs portainer
# Restart Portainer
docker compose restart portainer
```
## Performance Tuning
### Prometheus Optimization
#### Reduce Memory Usage
```yaml
# In docker-compose.yml, adjust retention:
command:
- '--storage.tsdb.retention.time=7d' # Reduce from 15d
- '--storage.tsdb.retention.size=5GB' # Add size limit
```
#### Optimize Scrape Intervals
```yaml
# In prometheus/prometheus.yml:
global:
scrape_interval: 30s # Increase from 15s for less load
evaluation_interval: 30s
```
#### Reduce Cardinality
```yaml
# In prometheus/prometheus.yml, add metric_relabel_configs:
metric_relabel_configs:
- source_labels: [__name__]
regex: 'unused_metric_.*'
action: drop
```
### Grafana Optimization
#### Reduce Query Load
```json
// In dashboard JSON, adjust refresh rate:
"refresh": "1m" // Increase from 30s
```
#### Optimize Panel Queries
- Use recording rules for expensive queries
- Reduce time range for heavy queries
- Use appropriate resolution (step parameter)
### Storage Optimization
#### Prometheus Data Volume
```bash
# Check current size
du -sh volumes/prometheus/
# Compact old data
docker compose exec prometheus curl -X POST http://localhost:9090/api/v1/admin/tsdb/clean_tombstones
```
#### Grafana Data Volume
```bash
# Check current size
du -sh volumes/grafana/
# Clean old sessions
docker compose exec grafana grafana-cli admin reset-admin-password
```
## Security Considerations
### 1. Password Security
- Use strong, randomly generated passwords
- Store passwords securely (password manager)
- Rotate passwords regularly
- Use bcrypt for Prometheus BasicAuth
### 2. Network Security
- Monitoring network is internal-only (except exporters)
- Traefik handles SSL/TLS termination
- BasicAuth protects Prometheus UI
- Grafana requires login for dashboard access
### 3. Access Control
- Limit Grafana admin access
- Use Grafana organizations for multi-tenancy
- Configure Prometheus with read-only access where possible
- Restrict Portainer access to trusted users
### 4. Data Security
- Prometheus stores metrics in plain text
- Grafana encrypts passwords in database
- Backup volumes contain sensitive data
- Secure backups with encryption
### 5. Container Security
- Use official Docker images
- Keep images updated (security patches)
- Run containers as non-root where possible
- Limit container capabilities
## Backup and Recovery
### Backup Prometheus Data
```bash
# Stop Prometheus
docker compose stop prometheus
# Backup data volume
tar czf prometheus-backup-$(date +%Y%m%d).tar.gz -C volumes/prometheus .
# Restart Prometheus
docker compose start prometheus
```
### Backup Grafana Data
```bash
# Backup Grafana database and dashboards
docker compose exec grafana tar czf - /var/lib/grafana > grafana-backup-$(date +%Y%m%d).tar.gz
```
### Restore from Backup
```bash
# Stop services
docker compose down
# Restore Prometheus data
tar xzf prometheus-backup-YYYYMMDD.tar.gz -C volumes/prometheus/
# Restore Grafana data
docker compose up -d grafana
docker compose exec grafana tar xzf - -C / < grafana-backup-YYYYMMDD.tar.gz
# Start all services
docker compose up -d
```
## Maintenance
### Regular Tasks
#### Daily
- Review dashboards for anomalies
- Check active alerts
- Verify all services are running
#### Weekly
- Review resource usage trends
- Check disk space usage
- Update passwords if needed
#### Monthly
- Review and update alert rules
- Optimize slow queries
- Clean up old data if needed
- Update Docker images
### Update Procedure
```bash
# Pull latest images
docker compose pull
# Recreate containers with new images
docker compose up -d
# Verify services are healthy
docker compose ps
docker compose logs -f
```
## Support
### Documentation
- Prometheus: https://prometheus.io/docs/
- Grafana: https://grafana.com/docs/
- Portainer: https://docs.portainer.io/
### Logs
```bash
# View all logs
docker compose logs
# Follow specific service logs
docker compose logs -f grafana
docker compose logs -f prometheus
# View last 100 lines
docker compose logs --tail=100
```
### Health Checks
```bash
# Check service health
docker compose ps
# Test endpoints
curl http://localhost:9090/-/healthy # Prometheus
curl http://localhost:3000/api/health # Grafana
# Check metrics
curl http://localhost:9100/metrics # Node Exporter
curl http://localhost:8080/metrics # cAdvisor
```
---
**Stack Version**: 1.0
**Last Updated**: 2025-01-30
**Maintained By**: DevOps Team