Time Series Database

When evaluating, instant vectors provide current snapshots, while range vectors give you multiple values over a period of time. But how do they work?

Metrics come in different types: counters that only increase, gauges that fluctuate, histograms that show value distributions, and summaries that pre-calculate statistics.

OpenTelemetry, Prometheus 2.x, Prometheus 3.x, and vmagent are put together for comparison in scraping and pushing data to remote storage.

My VictoriaMetrics cluster has a very high churn rate at 0:00 every day. However, when I enable -logNewSeries, I find that these ’new’ time series were actually seen before. Why is this happening?

I have already recorded metrics in the application, why can’t I see my metrics on Grafana?

Monitoring Proxmox hypervisor via VictoriaMetrics and Proxmox’s built-in metric server

One of the latest benchmarks we made was ‘VictoriaMetrics: scaling to 100 million metrics per second’. While the fact of such scale for VictoriaMetrics is noteworthy on its own, the benchmark tool used to generate that load is usually overlooked. In this blog post I’ll explain in more details the challenge of running such benchmarks.

Benchmarking VictoriaMetrics and Grafana Mimir on the same hardware

VictoriaMetrics has new production ready builds for ARM

We are glad to announce the availability of Managed VictoriaMetrics (VictoriaMetrics Cloud) - try it right now!