Grafana

Grafana is the de facto open-source dashboarding layer for operational data: it queries metrics, logs, traces, and profiles from dozens of backends and renders them in one place, and Grafana Cloud packages that with hosted storage on a free tier that is generous enough to run a small production system on. Grafana's defining property is that it does not own your data. It is a visualisation and alerting layer that connects to Prometheus, Loki, Tempo, Elasticsearch, InfluxDB, PostgreSQL, CloudWatch, and many more, which is why it turns up in nearly every observability stack regardless of what else is in it. That neutrality is the reason it became a standard. Grafana Cloud has three tiers. Free costs nothing and includes all Grafana Cloud services with limited usage, community support only, and 14-day retention across metrics, logs, traces, profiles, and k6 tests. The free allocations are concrete: 10,000 active metric series per month, 50GB combined ingestion for logs, traces, and profiles, 2,232 host hours plus 37,944 container hours of Kubernetes monitoring, 3 active Grafana users per month, and 50,000 frontend observability sessions per month. Pro starts at $19/month plus usage, billing pay-as-you-go above the free allocations, and adds 8x5 email support with far longer retention: 13 months for metrics and 30 days for logs, traces, profiles, and k6 tests. Enterprise starts at $25,000/year and adds premium support, custom retention, and deployment flexibility across public cloud, federal cloud, or bring-your-own-cloud. The retention difference is the thing to plan around. On the free tier your data is gone after 14 days, which is fine for live debugging and useless for quarter-over-quarter capacity planning. Retention, not ingestion volume, is usually what pushes a team from Free to Pro. Who it is for: platform, SRE, and DevOps teams, and increasingly solo developers running a handful of services who want real dashboards without operating a storage backend. The self-managed open-source route suits teams with data residency requirements or those already running Prometheus who want only the visualisation layer. How it compares: Datadog is the closest full-service competitor, materially easier to adopt because everything is one integrated product, and materially more expensive, with a pricing model that has surprised a lot of teams at scale. New Relic is similar in breadth with simpler per-user pricing. Better Stack and Honeycomb are lighter, more opinionated options, with Honeycomb notably stronger for high-cardinality tracing. Grafana's advantages are the open-source core, backend neutrality, no vendor lock-in on your data, and the largest dashboard and plugin ecosystem in the category; the cost is that you assemble a stack rather than buying one. Start on the free tier and let retention, not ingestion, decide when you upgrade.