Kiu/VictoriaMetrics
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docs: add Dreamteam numbers

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Aliaksandr Valialkin 2019-12-12 01:01:07 +02:00
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README.md
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@ -22,6 +22,7 @@ Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaM
* [Wix.com](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#wixcom) * [Wix.com](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#wixcom)
* [Wedos.com](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#wedoscom) * [Wedos.com](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#wedoscom)
* [Dreamteam](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#dreamteam)
## Prominent features ## Prominent features

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docs/CaseStudies.md
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@ -18,6 +18,7 @@ Numbers:
* 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 ~1K per minute (mostly alert queries).
* Query duration: median is ~70ms, 99th percentile is ~2sec. * Query duration: median is ~70ms, 99th percentile is ~2sec.
* Retention: 6 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:
@ -45,3 +46,19 @@ Numbers:
* Query duration: median is ~2ms, 99th percentile is ~50ms. * Query duration: median is ~2ms, 99th percentile is ~50ms.
> We like configuration simplicity and zero maintenance for VictoriaMetrics - once installed and forgot about it. It works out of the box without any issues. > We like configuration simplicity and zero maintenance for VictoriaMetrics - once installed and forgot about it. It works out of the box without any issues.
### Dreamteam
[Dreamteam](https://dreamteam.gg/) successfully uses single-node VictoriaMetrics in multiple environments.
Numbers:
* Active time series: from 350K to 725K.
* Total number of time series: from 100M to 320M.
* Total number of datapoints: from 120 billions to 155 billions.
* Retention: 3 months.
VictoriaMetrics in production environment runs on 2 M5 EC2 instances in "HA" mode, managed by Terraform and Ansible TF module.
2 Prometheus instances are writing to both VMs, with 2 [Promxy](https://github.com/jacksontj/promxy) replicas
as load balancer for reads.

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docs/Single-server-VictoriaMetrics.md
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@ -12,6 +12,7 @@ Cluster version is available [here](https://github.com/VictoriaMetrics/VictoriaM
* [Wix.com](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#wixcom) * [Wix.com](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#wixcom)
* [Wedos.com](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#wedoscom) * [Wedos.com](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#wedoscom)
* [Dreamteam](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/CaseStudies#dreamteam)
## Prominent features ## Prominent features