Metrics
Granular Observability for {High Cardinality} Environments
Never compromise on high cardinality metrics data again just because your observability tool could not handle them.
For the needs of {modern-day micro-services} architectures.
Built for High Cardinality
- Superior defaults of 20M cardinality per day per metric, customizable on request
- Use Cardinality Explorer to identify impacted metrics and their label values.
- Control cardinality explosion with Streaming Aggregations during run-time by dropping unwanted labels or creating new scoped metrics with reduced cardinality
Quick MTTD with correlated telemetry
- Debug issues and identify the root cause faster by correlating your infrastructure and service metrics with logs and traces
- Logs to Metrics and Traces to Metrics pipelines for auto metrics generation without instrumentation changes
- 90-days retention with cold storage upto 13 months enables long-term reporting
Open Standards and Cloud Native compatible
- Ingest metrics via OpenTelemetry, Prometheus, VictoriaMetrics, and more. View all our integrations
- Out of the box support for metrics generated by Cloud Native Kubernetes workloads
Using Last9’s high cardinality workflows, we accurately measured customer SLAs across dimensions, extract knowledge about our systems, and measure customer impact proactively.
Ranjeet Walunj
SVP Engineering
{Do more}
with less.
