github-mirrors/VictoriaMetrics
1
0
Fork 0
mirror of https://github.com/VictoriaMetrics/VictoriaMetrics.git synced 2024-12-01 14:47:38 +00:00
Code Issues Projects Releases Packages Wiki Activity

docs/CaseStudies.md: actualize Wix numbers

Browse source
This commit is contained in:
Aliaksandr Valialkin 2020-10-06 16:09:19 +03:00
parent b4356550fd
commit 5d5076c4a2
1 changed files with 6 additions and 5 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

11
docs/CaseStudies.md
View file

@ -73,13 +73,14 @@ See [Monitoring K8S with VictoriaMetrics](https://docs.google.com/presentation/d
Numbers: Numbers:
* The number of active time series per VictoriaMetrics instance is 20M. * The number of active time series per VictoriaMetrics instance is 40M.
* The total number of time series per VictoriaMetrics instance is 400M+. * The total number of time series per VictoriaMetrics instance is 400M+.
* Ingestion rate per VictoriaMetrics instance is 800K data points per second. * Ingestion rate per VictoriaMetrics instance is 1M data points per second.
* The total number of datapoints per VictoriaMetrics instance is 8 trillions.
* The average time series churn rate is ~3M per day. * The average time series churn rate is ~3M per day.
* The average query rate is ~1K per minute (mostly alert queries). * The average query rate is ~100 per second (mostly alert queries).
* Query duration: median is ~70ms, 99th percentile is ~2sec. * Query duration: median is ~70ms, 99th percentile is ~1.5sec.
* Retention: 6 months. * Retention: 3 months.
> Alternatives that we’ve played with before choosing VictoriaMetrics are: federated Prometheus, Cortex, IronDB and Thanos. > Alternatives that we’ve played with before choosing VictoriaMetrics are: federated Prometheus, Cortex, IronDB and Thanos.
> Points that were critical to us when we were choosing a central tsdb, in order of importance: > Points that were critical to us when we were choosing a central tsdb, in order of importance: