We Migrated from StatsD to Prometheus in One Month

说明与用途

我们在一个月内将 StatsD 迁移到 Prometheus，实现了更丰富的查询、更长的存储时间和自动化告警。

问题

Our metrics collection was limited by StatsD’s lack of native query language and retention, hindering deep analysis and alerting.

结果

The migration completed in one month, providing richer queries, longer retention, and automated alerting, while reducing operational overhead.

工作流

• 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.

证据

We ran both systems in parallel for two weeks to validate data consistency.

来源

The migration took exactly one month, from planning to decommissioning.

来源