We Migrated from StatsD to Prometheus in One Month
Description and use
We migrated metrics from StatsD to Prometheus in one month, achieving richer queries, longer retention, and automated alerting.
Problem
Our metrics collection was limited by StatsD’s lack of native query language and retention, hindering deep analysis and alerting.
Outcome
The migration completed in one month, providing richer queries, longer retention, and automated alerting, while reducing operational overhead.
Workflow
- 1. Inventory all services emitting StatsD metrics and map them to Prometheus metrics. 2. Deploy a sidecar Prometheus exporter for each service. 3. Configure Prometheus to scrape exporters and enable remote write to long‑term storage. 4. Migrate Grafana dashboards to PromQL queries. 5. Set up Alertmanager with new alert rules. 6. Run parallel collection for two weeks to validate data consistency. 7. Decommission StatsD daemon and clean up old dashboards.
Evidence
We ran both systems in parallel for two weeks to validate data consistency.
The migration took exactly one month, from planning to decommissioning.
- Record date: 2026-09-21T10:30:59.751Z