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docs: clarify why cluster version is recommended to use for serving high loads

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Aliaksandr Valialkin 2022-08-30 13:20:57 +03:00
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docs/Cluster-VictoriaMetrics.md
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@ -13,6 +13,7 @@ for ingestion rates lower than a million data points per second.
The single-node version [scales perfectly](https://medium.com/@valyala/measuring-vertical-scalability-for-time-series-databases-in-google-cloud-92550d78d8ae)
with the number of CPU cores, RAM and available storage space.
The single-node version is easier to configure and operate compared to the cluster version, so think twice before choosing the cluster version.
See [this question](https://docs.victoriametrics.com/FAQ.html#which-victoriametrics-type-is-recommended-for-use-in-production---single-node-or-cluster) for more details.
Join [our Slack](https://slack.victoriametrics.com/) or [contact us](mailto:info@victoriametrics.com) with consulting and support questions.

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docs/FAQ.md
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@ -327,7 +327,8 @@ Cluster version of VictoriaMetrics may be preferred over single-node VictoriaMet
via [vmauth](https://docs.victoriametrics.com/vmauth.html).
- If the current workload cannot be handled by a single-node VictoriaMetrics. For example, if you are going to ingest hundreds of millions of active time series
at ingestion rates exceeding a million samples per second, then it is better to use cluster version of VictoriaMetrics.
at ingestion rates exceeding a million samples per second, then it is better to use cluster version of VictoriaMetrics,
since its capacity can [scale horizontally with the number of nodes in the cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#cluster-resizing-and-scalability).
## How to migrate data from single-node VictoriaMetrics to cluster version?