Grafana Dashboards
Create monitoring dashboards with Grafana for visualizing metrics, logs, and traces from Prometheus, Loki, and other data sources.
Overview
AI coding agents are particularly valuable for Grafana because dashboard JSON is complex and verbose. Instead of manually dragging panels and clicking through the UI, you can describe the metrics you want to visualize and your agent generates the complete dashboard JSON with proper panel types (time series, stat, gauge, table), PromQL queries, thresholds, and layout. The agent can also generate Grafana provisioning configurations for Infrastructure as Code workflows.
For production monitoring, your AI agent can create dashboards for common patterns: RED metrics (Rate, Errors, Duration) for services, USE metrics (Utilization, Saturation, Errors) for infrastructure, and golden signals dashboards for SRE teams. The agent can also configure alert rules with proper notification channels and escalation policies.
Who Is This For?
- SRE teams creating monitoring dashboards for production services
- DevOps engineers setting up Grafana with Prometheus data sources
- Teams implementing alerting rules for key performance indicators
- Developers building custom dashboards for application-specific metrics
Installation
Install Grafana: brew install grafana (macOS) or use Docker image grafana/grafana:latest
Claude Code generates dashboard JSON and provisioning configs Configuration
# docker-compose.yml for Grafana + Prometheus
services:
grafana:
image: grafana/grafana:latest
ports: ["3000:3000"]
volumes:
- grafana-data:/var/lib/grafana
- ./provisioning:/etc/grafana/provisioning
environment:
GF_SECURITY_ADMIN_PASSWORD: admin
prometheus:
image: prom/prometheus:latest
ports: ["9090:9090"]
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
volumes:
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