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- How to Decommission a vmstorage Node from a VictoriaMetrics Cluster

We need to remove a vmstorage node from VictoriaMetrics cluster gracefully. Every vmstorage node contains its own portion of data and removing the vmstorage node from the cluster creates gaps in the graph (because replication is out of scope).
We have a VictoriaMetrics cluster with 2 vminsert, 2 vmselect and 3 vmstorage nodes. We want to gracefully remove vmstorage A from the cluster.
vmstorage A from the vminsert listvmstorage A from the clusterNote: please expect higher resource usage on the existing vmstorage nodes (vmstorage B and vmstorage C), as they now need to handle all the incoming data.
Pros: Simple implementation
Cons: You may need to wait for a long period of time
vmstorage A from the vminsert list (same as in Solution One).vmstorage A and writes data back to vminsert nodes. 4. This process creates duplicates.vmstorage A from the cluster.Note: Please expect higher resource usage on the existing nodes (vmstorage B and vmstorage C), as they now need to handle all the incoming data.
Pros: Faster way to decommission a vmstorage node.
Cons: The process is more complex compared to solution One. The vmctl import/export process may require tuning if you migrate hundreds of GB of data (or more).
Hint : downsampling reduces the amount of data in a cluster; after downsampling, the vmctl migration requires less data to transfer and less time.
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VictoriaMetrics delivers a complete open-source observability stack, combining a highly scalable time series database with a powerful log management system. This streamlined, single-binary solution simplifies deployment while providing fast, cost-effective monitoring and logging at any scale.
As we’re half-way through the year, we’d like to take this opportunity to provide an update on the most recent changes in our Long-Term Support (LTS) releases.
VictoriaMetrics is a fast, scalable monitoring system made of modular components like vminsert, vmstorage, and vmselect. It supports both single-node and clustered setups, along with tools for backup, restore, alerting, access control, and data migration. Data can be ingested, stored, queried, backed up, and restored with high performance and minimal resource use.
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