Learn to version-control all monitoring configuration — Grafana dashboards, Prometheus rules, Alertmanager routing, and OTel Collector pipelines — using GitOps workflows and Terraform.
Understand why treating monitoring configuration as code is essential for reliable, auditable, and reproducible observability infrastructure.
cat <<'EOF'
=== WHY OBSERVABILITY AS CODE? ===
WITHOUT version control:
✗ Dashboard edited in UI → no history of who changed what
✗ Alert rule tweaked manually → another engineer reverts it unknowingly
✗ Grafana database corrupted → all dashboards lost
✗ New environment → manually recreate everything from scratch
WITH version control:
✓ Full audit trail: who changed what alert rule and why
✓ Code review: alert changes reviewed before deployment
✓ Rollback: revert a bad dashboard change with git revert
✓ Reproducible: spin up identical monitoring in new environments
✓ CI validation: catch config errors before they reach production
CONFIG FILES TO VERSION CONTROL:
monitoring/
grafana/
provisioning/datasources/datasources.yml
provisioning/dashboards/provider.yml
dashboards/*.json
prometheus/
prometheus.yml
rules/*.yml
alertmanager/
alertmanager.yml
otel-collector/
config.yml
EOFEvery outage caused by a monitoring misconfiguration — a silenced alert, a deleted dashboard, a broken recording rule — could have been prevented with version-controlled config and code review. The investment in setting up observability as code pays for itself the first time you need to recover from a Grafana database loss or debug why an alert stopped firing.
You see the problems with manual monitoring config and the benefits of version control, plus the directory structure for a monitoring-as-code repository.