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docs/CaseStudies.md: add case study for Idealo.de
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See also [articles about VictoriaMetrics from our users](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/Articles#third-party-articles-and-slides).
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See also [articles about VictoriaMetrics from our users](https://github.com/VictoriaMetrics/VictoriaMetrics/wiki/Articles#third-party-articles-and-slides).
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* [Adidas](#adidas)
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* [CERN](#cern)
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* [COLOPL](#colopl)
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* [Zerodha](#zerodha)
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* [Wix.com](#wixcom)
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* [Wedos.com](#wedoscom)
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* [Synthesio](#synthesio)
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* [Dreamteam](#dreamteam)
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* [Brandwatch](#brandwatch)
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* [Adsterra](#adsterra)
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* [ARNES](#arnes)
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* [Idealo.de](#idealode)
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## Adidas
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## Adidas
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See [slides](https://promcon.io/2019-munich/slides/remote-write-storage-wars.pdf) and [video](https://youtu.be/OsH6gPdxR4s)
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See [slides](https://promcon.io/2019-munich/slides/remote-write-storage-wars.pdf) and [video](https://youtu.be/OsH6gPdxR4s)
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We are still in the process of migration, but we are really happy with the whole stack. It has proven as an essential piece
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We are still in the process of migration, but we are really happy with the whole stack. It has proven as an essential piece
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for insight into our services during COVID-19 and has enabled us to provide better service and spot problems faster.
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for insight into our services during COVID-19 and has enabled us to provide better service and spot problems faster.
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## Idealo.de
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[idealo.de](https://www.idealo.de/) is the leading price comparison website in Germany. We use Prometheus for metrics on our container platform.
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When we introduced Prometheus at idealo we started with m3db as a longterm storage. In our setup m3db was quite unstable and consumed a lot of resources.
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VictoriaMetrics runs very stable for us and uses only a fraction of the resources. Although we also increased our retention time from 1 month to 13 months.
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Numbers:
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- The number of active time series per VictoriaMetrics instance is 21M.
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- Total ingestion rate 120k metrics per second.
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- The total number of datapoints 3.1 trillion.
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- The average time series churn rate is ~9M per day.
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- The average query rate is ~20 per second. Response time for 99th quantile is 120ms.
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- Retention: 13 months.
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- Size of all datapoints: 3.5 TB
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