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When the usage pattern of a cluster is not fixed, load-based scaling is recommended. This type of scaling automatically adjusts the number of query engines based on the resource utilization of the Query Engine instances. By configuring cluster scaling in this way, you can optimize the utilization of your cloud cluster and reduce compute costs.
Setting Load-based cluster scaling rules
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From Kyvos 2024.2 onwards, scaling is implemented based on the CPU and Memory usage of the Query Engine instances. System resources will be monitored for all BI Servers and Query Engines every 30 seconds, and Query Engines’ scaling will be performed based on this data.
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NOTE A data point is information on resource utilization captured every 30 seconds. |
Transitioning period
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The following tables specify the approximate time required to complete the process during the transitioning period.Â
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