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docs/Cluster-VictoriaMetrics.md: typo fix: by by
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@ -326,7 +326,7 @@ Some capacity planning tips for VictoriaMetrics cluster:
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- The [replication](#replication-and-data-safety) increases the amounts of needed resources for the cluster by up to `N` times where `N` is replication factor. This is because `vminsert` stores `N` copies of every ingested sample on distinct `vmstorage` nodes. These copies are de-duplicated by `vmselect` during querying. The most cost-efficient and performant solution for data durability is to rely on replicated durable persistent disks such as [Google Compute persistent disks](https://cloud.google.com/compute/docs/disks#pdspecs) instead of using the [replication at VictoriaMetrics level](#replication-and-data-safety).
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- It is recommended to run a cluster with big number of small `vmstorage` nodes instead of a cluster with small number of big `vmstorage` nodes. This increases chances that the cluster remains available and stable when some of `vmstorage` nodes are temporarily unavailable during maintenance events such as upgrades, configuration changes or migrations. For example, when a cluster contains 10 `vmstorage` nodes and a single node becomes temporarily unavailable, then the workload on the remaining 9 nodes increases by `1/9=11%`. When a cluster contains 3 `vmstorage` nodes and a single node becomes temporarily unavailable, then the workload on the remaining 2 nodes increases by `1/2=50%`. The remaining `vmstorage` nodes may have no enough free capacity for handling the increased workload. In this case the cluster may become overloaded, which may result to decreased availability and stability.
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- Cluster capacity for [active time series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series) can be increased by increasing RAM and CPU resources per each `vmstorage` node or by by adding new `vmstorage` nodes.
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- Cluster capacity for [active time series](https://docs.victoriametrics.com/FAQ.html#what-is-an-active-time-series) can be increased by increasing RAM and CPU resources per each `vmstorage` node or by adding new `vmstorage` nodes.
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- Query latency can be reduced by increasing CPU resources per each `vmselect` node, since each incoming query is processed by a single `vmselect` node. Performance for heavy queries scales with the number of available CPU cores at `vmselect` node, since `vmselect` processes time series referred by the query on all the available CPU cores.
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- If the cluster needs to process incoming queries at a high rate, then its capacity can be increased by adding more `vmselect` nodes, so incoming queries could be spread among bigger number of `vmselect` nodes.
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- By default `vminsert` compresses the data it sends to `vmstorage` in order to reduce network bandwidth usage. The compression takes additional CPU resources at `vminsert`. If `vminsert` nodes have limited CPU, then the compression can be disabled by passing `-rpc.disableCompression` command-line flag at `vminsert` nodes.
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