Prometheus Consulting & Support for Enterprises

Our Prometheus consulting covers exporter and scrape architecture, label and cardinality design, alert and recording rule design, long-term storage architecture with Thanos, Mimir, or Cortex, and migration planning from legacy monitoring tools. Every engagement is staffed by a named senior engineer with production Prometheus experience at scale.

Every unique combination of metric name and label values creates a new time series, and each one consumes memory in the TSDB. A single label with unbounded values — like a raw user ID or request path — can multiply your series count by orders of magnitude and exhaust memory within hours. Most Prometheus outages we're called in for trace back to a cardinality explosion, not a hardware or config problem.

Single-node Prometheus has a retention and query-scale ceiling — once you need multi-year retention, cross-cluster queries, or high availability without gaps, you need a long-term storage layer. We evaluate Thanos, Mimir, and Cortex against your query patterns, existing infrastructure, and operational capacity, since they have real tradeoffs in complexity and object storage cost.

Yes. We translate existing dashboards and threshold-based alerts into PromQL queries and recording rules, map your current metric taxonomy to Prometheus's label model, and run both systems in parallel during cutover so you can validate alert parity before decommissioning the legacy tool.

We build alerts around symptoms that map to actual user or business impact — not raw resource thresholds that fire constantly — and use recording rules to precompute the values alerts evaluate against. Alertmanager routing is designed around ownership and severity so the right team gets paged for the right thing, instead of one channel absorbing everything.

A structured review of label and cardinality design across every scrape target, alert rule quality and routing, and long-term storage architecture for single points of failure. We deliver a written report with findings ranked by incident risk, since the highest-cardinality label in your fleet is usually the highest-priority fix.