Save network costs with VictoriaMetrics remote write protocol
Save network bandwidth costs when transferring data to VictoriaMetrics starting from v1.88
VictoriaMetrics Observability Blog
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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.
Cardinality explorer
In monitoring, the term cardinality defines the number of unique time series stored in TSDB. The higher is cardinality, the more resources are usually required for metrics processing and querying. Let’s see how Cardinality explorer can help us here.
Grafana Mimir and VictoriaMetrics: performance tests
Benchmarking VictoriaMetrics and Grafana Mimir on the same hardware
How to Choose a Scalable Open Source Time Series Database: The Cost of Scale
When looking for a most scalable open source time series database, what are the criteria to care about? Read this blog to get our recommendations.
Running VictoriaMetrics on ARM-based processors
VictoriaMetrics has new production ready builds for ARM