We Migrated from StatsD to Prometheus in One Month

Description and use

Migrated from StatsD to Prometheus in one month, improving scalability and query performance.

Problem

StatsD was becoming a bottleneck and difficult to scale, leading to high cardinality issues and limited observability.

Outcome

The migration reduced metric latency, improved query performance, and enabled richer alerting, all completed within a single month.

Workflow

• 1. Assessed current StatsD usage and identified key metrics.
• 2. Designed Prometheus schema and retention strategy.
• 3. Implemented Prometheus exporters for existing services.
• 4. Configured Prometheus to scrape metrics and set up alerting rules.
• 5. Migrated dashboards from Grafana to Prometheus data source.
• 6. Decommissioned StatsD and validated data integrity.
• 7. Deployed the new stack in production within one month.

Evidence

We migrated from StatsD to Prometheus in one month

Source

We had to replace StatsD because it was not scaling and had high cardinality issues

Source