What you'll learn
- Where Prometheus strains at scale
- How Grafana Cloud Metrics scales on Mimir 3.0’s decoupled read and write paths and its default query engine
- How to secure metrics across teams with access policies, scoped tokens, and label-based access control
- How to control spend with cardinality analysis, usage groups, and Adaptive Metrics
Live demo and Q&A: keep your exporters, PromQL, and alert rules, and stop running the metrics backend yourself.
Prometheus is the right choice until scale turns it into a platform project. Sharding, federation, long-term storage, access control, and a bill that grows faster than your infrastructure all pile up on the team that was supposed to be using metrics, not running them.
Join us for a live demo of Grafana Cloud Metrics, the managed service powered by Grafana Mimir. It is 100% Prometheus-compatible, so remote write, PromQL, and alerting rules work unchanged. We’ll show how teams scale across environments, give each team the right access, and keep cardinality and cost under control.