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docs: Update RELEX Oy figures (#7491)

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Update figures for the existing RELEX Oy case study.

### Checklist

The following checks are **mandatory**:

- [x] My change adheres to [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).

Co-authored-by: Artem Navoiev <tenmozes@gmail.com>
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@ -461,20 +461,20 @@ VictoriaMetrics has allowed us to extend data retention for our metrics effortle
Across our production VictoriaMetrics clusters, in a 12 months period we go beyond the following figures. Across our production VictoriaMetrics clusters, in a 12 months period we go beyond the following figures.
- Active time series: 10M - Active time series: 20M
- Ingestion rate: 300k samples per second - Ingestion rate: 1M samples per second (2M before stream aggregation)
- Total number of datapoints: 4400G - Total number of datapoints: 15T+
- Data size on disk: 3600 GiB - Data size on disk: 12+ TiB
- Available memory: 320 GiB as seen by kubernetes (160 GiB physical memory for the hosts) - Available memory: 1.2 TiB as seen by kubernetes (640 GiB physical memory for the hosts)
- CPU: 20 cores (AMD EPYC 7763), about 70 % idle - CPU: 80 cores (AMD EPYC 7763), about 50 % idle
- Retention period: ~1 year - Retention period: ~1 year
- Churn rate: 6M new time series per day (monthly average) - Churn rate: 16M new time series per day (monthly average)
- Query rate: - Query rate:
- `/api/v1/query_range`: 10 queries per second - `/api/v1/query_range`: 15 queries per second
- `/api/v1/query`: 10 queries per second - `/api/v1/query`: 10 queries per second
- Query duration for `/api/v1/query_range` (weekly mean): - Query duration for `/api/v1/query_range` (weekly mean):
- 99th percentile: 700 ms - 99th percentile: 1.5 s
- median: 10 ms - median: 15 ms
## Roblox ## Roblox