Prometheus Monitoring: Instant Queries and Range Queries Explained
When evaluating, instant vectors provide current snapshots, while range vectors give you multiple values over a period of time. But how do they work?
VictoriaMetrics Observability Blog
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Prometheus Metrics Explained: Counters, Gauges, Histograms & Summaries
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, and More: Which Is Better for Metrics Collection and Propagation?
OpenTelemetry, Prometheus 2.x, Prometheus 3.x, and vmagent are put together for comparison in scraping and pushing data to remote storage.
Community Question: High Churn Rate Without New Time Series?
Troubleshooting Time Series Databases: Where Did My Metrics Go?
I have already recorded metrics in the application, why can’t I see my metrics on Grafana?
Monitoring Proxmox VE via VictoriaMetrics Cloud
Monitoring Proxmox hypervisor via VictoriaMetrics and Proxmox’s built-in metric server
Monitoring benchmark: how to generate 100 million samples/s of production-like data
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.
Grafana Mimir and VictoriaMetrics: performance tests
Benchmarking VictoriaMetrics and Grafana Mimir on the same hardware
Running VictoriaMetrics on ARM-based processors
VictoriaMetrics has new production ready builds for ARM
Managed VictoriaMetrics announcement
We are glad to announce the availability of Managed VictoriaMetrics (VictoriaMetrics Cloud) - try it right now!