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docs/VictoriaLogs/README.md: small fixes
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docs/VictoriaLogs/README.md

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@@ -15,6 +15,7 @@ It provides the following key features:
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- VictoriaLogs capacity and performance scales lineraly with the available resources (CPU, RAM, disk IO, disk space).
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It runs smoothly on both Raspberry PI and a server with hundreds of CPU cores and terabytes of RAM.
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- VictoriaLogs can handle much bigger data volumes than ElasticSearch and Grafana Loki when running on comparable hardware.
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See [these docs](#benchmarks).
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- VictoriaLogs supports multitenancy - see [these docs](#multitenancy).
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- VictoriaLogs supports out of order logs' ingestion aka backfilling.
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- VictoriaLogs provides simple web UI for querying logs - see [these docs](https://docs.victoriametrics.com/VictoriaLogs/querying/#web-ui).
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## Benchmarks
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Here is a [benchmark suite](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/logs-benchmark) that covers ElasticSearch and VictoriaLogs.
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Here is a [benchmark suite](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/logs-benchmark) for comparing data ingestion performance
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and resource usage between VictoriaLogs and Elasticsearch.
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However, we encourage you to run benchmarks on your own. Please share the results or feedback with us by just dropping the line on any of our [Community channels](https://docs.victoriametrics.com/#community-and-contributions).
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It is recommended [setting up VictoriaLogs](https://docs.victoriametrics.com/VictoriaLogs/QuickStart.html) in production alongside the existing
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log management systems and comparing resource usage + query performance between VictoriaLogs and your system such as ElasticSearch or Grafana Loki.
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Please share benchmark results and ideas on how to improve benchmarks / VictoriaLogs
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via [VictoriaMetrics community channels](https://docs.victoriametrics.com/#community-and-contributions).

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