No license cost applies since Prometheus is free and open source; the real cost to weigh is the infrastructure and operational time needed to self-host it.
About
In practice. What you can do with Prometheus.
Prometheus collects time-series metrics using a dimensional data model with flexible labels, queried through PromQL, with a built-in alerting rule engine paired with Alertmanager for notification routing. Hundreds of official and community exporters extract metrics from existing systems.
It is entirely free and open source under Apache 2.0, with no paid tier or official managed version: teams self-host and operate storage, scaling and high availability themselves. It suits a developer or infrastructure team comfortable running their own monitoring stack, paired with a separate tool like Grafana for dashboards.
Practical uses
Kubernetes monitoringScrape cluster metrics via exporters, alert on threshold breaches through Alertmanager.
Service health trackingQuery request latency and error rates with PromQL to spot regressions.
Features & use cases
Analytics
Pros and cons. What Prometheus does well, and what to expect.
Pros
Completely free and open source, no vendor lock-in or paid tier.
Hundreds of exporters make it easy to pull metrics from most existing systems.
Cons
No official managed version: self-hosting, scaling and high availability are entirely the team's responsibility.
No built-in dashboarding UI, typically paired with a separate tool like Grafana.
When it makes sense. Keep Prometheus, or challenge it?
Keep if
Keep it if self-hosting metrics collection and alerting at no license cost fits the team's operational capacity.
Challenge if
Avoid it if the team has no capacity to operate storage, scaling and high availability itself, or wants a built-in dashboard without a separate tool.
Our verdict. What to know about Prometheus.
Why this verdict
Great
Added value
Entirely free and open source under Apache 2.0 with no paid tier from the project, so the only cost is self-hosting infrastructure, unmatched by a commercial equivalent at the same price.
Simplicity
No official managed version exists: teams must self-host and operate storage, scaling and high availability themselves, and there is no built-in dashboarding UI, so a first useful result needs real setup work.
Fit for purpose
The dimensional data model, PromQL and built-in alerting rule engine deliver real-time metric collection and alerting as described, paired with Alertmanager for routing.
Performance
Hundreds of official and community exporters plus a dedicated query language (PromQL) cover most metric-extraction needs, though it stops at metrics and alerting without built-in dashboarding.
Reversibility
Fully open source and self-hosted with no vendor lock-in: the data, configuration and binaries stay under the team's own control at all times.