// screenshot of prometheus.io ↗
Prometheus is the CNCF metrics + alerting system — pull-based scraping, time-series database, PromQL query language. The de-facto standard for cloud-native monitoring; if you're running containers or Kubernetes, you're almost certainly using Prometheus or wishing you were.
Prometheus is the CNCF metrics + alerting system — pull-based scraping, time-series database, PromQL query language. The de-facto standard for cloud-native monitoring; if you're running containers or Kubernetes, you're almost certainly using Prometheus or wishing you were.
For SRE / DevOps teams who want metrics done right — not just collected but queryable, alertable, and graphable — Prometheus is the answer.
Concrete scenarios where teams pick Prometheus over the SaaS alternative.
CPU, RAM, disk, network from node_exporter
request rate, error rate, latency from instrumented apps
anything that emits Prometheus-format metrics
PromQL-based alert rules sent to Alertmanager
historical metrics for sizing decisions
If your team profile matches one of these, Prometheus is a strong fit out of the box.
running container or Kubernetes infrastructure
building observability stacks
instrumenting code for production visibility
wanting KPI dashboards from real metrics
offering customer-facing metrics dashboards
When evaluating self-hosted options for this category, here are the dimensions on which Prometheus consistently lands above the alternatives.
The stack you'll plug Prometheus into — services, protocols, and adjacent apps in the BluixApps catalog.
prom/prometheus:v3.0.0 (release-tagged)Operational guidance from running this in production — what to do before you scale, what to lock down, what surprises people.
9090:9090 · 65534:65534 · prom/prometheus:v3.10.0