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Version: Devnet (v3.0.0-devnet.2)

Grafana Setup

Overview​

Grafana provides rich visualization and alerting capabilities for your metrics, allowing you to create custom dashboards and receive notifications when issues arise.

Prerequisites​

  • Completed Prometheus Setup
  • Prometheus running and accessible at http://prometheus:9090

Setup Steps​

Step 1: Add Grafana to Docker Compose​

Add Grafana to your docker-compose.yml:

services:
  # ... existing services (otel-collector, prometheus, etc.) ...
  grafana:
    image: grafana/grafana:latest
    container_name: aztec-grafana
    ports:
      - 3000:3000
    volumes:
      - grafana-data:/var/lib/grafana
    environment:
      - GF_SECURITY_ADMIN_PASSWORD=admin
      - GF_USERS_ALLOW_SIGN_UP=false
    networks:
      - aztec
    restart: always

volumes:
  # ... existing volumes  ...
  grafana-data:

networks:
  aztec:
    name: aztec
Admin Password Security

Change the default admin password (GF_SECURITY_ADMIN_PASSWORD) to a secure value for production deployments.

Step 2: Start Grafana​

docker compose up -d grafana

Step 3: Access Grafana​

  1. Navigate to http://localhost:3000
  2. Login with username admin and the password you set (default: admin)
  3. You'll be prompted to change the password on first login

Step 4: Add Prometheus Data Source​

  1. In the left sidebar, click Connections → Data sources
  2. Click Add data source
  3. Search for and select Prometheus
  4. Configure:
    • Name: Aztec Prometheus
    • URL: http://prometheus:9090
  5. Click Save & Test

You should see a green success message confirming Grafana can connect to Prometheus.

Creating Dashboards​

Option 1: Create a Basic Dashboard​

  1. In the left sidebar, click Dashboards
  2. Click New → New Dashboard
  3. Click Add visualization
  4. Select your Aztec Prometheus data source
  5. In the query editor, enter a metric (explore available metrics using the autocomplete)
  6. Customize the visualization type and settings
  7. Click Apply
  8. Click Save dashboard icon (top right)
  9. Give your dashboard a name and click Save

Option 2: Import a Pre-built Dashboard​

If the Aztec community has created shared dashboards:

  1. Click + → Import
  2. Enter dashboard ID or upload JSON file
  3. Select Aztec Prometheus as the data source
  4. Click Import

Example panels you can create (adjust metric names based on what's actually available):

  1. Block Height Over Time: Line graph tracking block sync progress
  2. Sync Rate: Line graph showing blocks per second (use rate() function)
  3. Peer Count: Gauge showing P2P connections
  4. Memory Usage: Line graph of process_resident_memory_bytes
  5. CPU Usage: Line graph of rate(process_cpu_seconds_total[5m])

Setting Up Alerts​

Configure alerts to notify you of issues:

Step 1: Create an Alert Rule​

  1. In the left sidebar, click Alerting (bell icon)
  2. Click Alert rules → New alert rule
  3. Configure your alert:
    • Query: Select your Prometheus data source and metric (e.g., aztec_node_block_height)
    • Condition: Define the threshold (e.g., rate(aztec_node_block_height[5m]) < 0.001 to alert if no blocks in 5 minutes)
    • Evaluation interval: How often to check (e.g., 1m)
  4. Click Save

Step 2: Configure Contact Points​

  1. Under Alerting, click Contact points
  2. Click Add contact point
  3. Choose your notification method:
    • Email: Configure SMTP settings
    • Slack: Add webhook URL
    • PagerDuty: Add integration key
    • Webhook: Custom HTTP endpoint
  4. Click Save

Step 3: Create Notification Policies​

  1. Under Alerting, click Notification policies
  2. Click New notification policy
  3. Define routing rules to send alerts to specific contact points
  4. Click Save

Example Alert Rules​

Node Sync Alert​

Alert if the node stops syncing blocks:

  • Query: rate(aztec_archiver_block_height[5m])
  • Condition: < 0.001
  • Description: Node has not synced any blocks in the last 5 minutes

High Memory Usage Alert​

Alert if memory usage exceeds threshold:

  • Query: process_memory_usage
  • Condition: > 8000000000 (8GB)
  • Description: Node memory usage exceeds 8GB

Peer Connection Alert​

Alert if peer count drops too low:

  • Query: discv5_connected_peer_count
  • Condition: < 3
  • Description: Node has fewer than 3 peer connections

Next Steps​

  • Explore the Monitoring Overview for troubleshooting and metrics reference
  • Join the Aztec Discord to share dashboards with the community
  • Configure additional notification channels for your alerts