Open standards
PromQL, OTLP, and Prometheus remote_write in. Metrics stored in an open format, in object storage you own, so other tools read them without going through us.
Full fidelity metrics at the resolution and cardinality that agents and engineers need to solve problems.
14 days, all features, no credit card required.
PromQL, OTLP, and Prometheus remote_write in. Metrics stored in an open format, in object storage you own, so other tools read them without going through us.
A distributed metrics query engine, built in Rust, parallelises huge queries into actionable segments, for scalable performance.
See which metrics and queries are actually being used, then rewrite a metric, block it, or let fixed rules and Dynamic TCO do it for you.
Tens of millions of active time series out of the box. Put User ID, Session ID, and URL on the same series, and track what the business cares about.
Read the docsCoralogix charges nothing extra for 15 second resolution. Every minute carries four data points instead of one, so your agents reason from full fidelity metrics and answer from evidence rather than guessing at what happened between samples.
Read the docsDynamic TCO tiers metrics by how they are actually used. Two adaptive rules send every metric nobody has queried in 14 days, or that only broken queries touch, to the cheaper Low tier, for a huge reduction in cost without losing fidelity or access.
Read the docsRun high availability collectors side by side and point them all at Coralogix. Identical series are joined on arrival, so you get failover and dedupe without running Thanos or any other aggregation layer of your own.
Read the docs
Every metric carries its own usage record: cost, cardinality, and the label that drives it, plus which queries read it, how often, and from where. Find the expensive one, block it in a click and restore it in another, or let Dynamic TCO move unqueried series to a cheaper tier and bring them back on the first read.
Read the docsThe same metrics that power your dashboards feed autonomous investigation. An agent queries the full series through PromQL, the CLI, or the API, and works from every data point rather than a sample.
Explore the CLI
One series, counted once in a rolling 60 minute window, however often it reports. Send full fidelity metrics and pay only for your true cardinality.
Usage, cardinality, dimensions and label variations, for every metric you send.
Which queries read a metric, how often, and from where: dashboards, alerts, recording rules, or the API.
Every metric ranked against your quota, blocked in one click and restored in another.
Series nobody queries move to a cheaper tier on their own, and come back in full on the next read.
Full resolution and full cardinality, billed only on the series that are genuinely unique.