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From Kyvos 2024.2 onwards, load based scaling is implemented based on the CPU and Memory usage of the Query Engine instances. System resources are 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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panelIconId | atlassian-note |
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panelIcon | :note: |
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Note From Kyvos 2024.9 onwards, if you use Query Engines as a compute server: |
The cluster will be scaled up step-by-step. For instance, it will scale from Low to Moderate and then from Moderate to High. Similarly, when scaling down the cluster, it will scale from High to Moderate and then from Moderate to Low.
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params | 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 |
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Aura tab |
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summary | AWS |
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params | JTdCJTIydGl0bGUlMjIlM0ElMjJBV1MlMjIlN0Q= |
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The process with the number of Query Engine =10 | The time required for Load-based scaling |
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scale up | 8 mins. | scale down | 7 mins. | startup | 3 mins. |
Aura tab |
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summary | Azure |
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params | JTdCJTIydGl0bGUlMjIlM0ElMjJBenVyZSUyMiU3RA== |
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The process with the number of Query Engine =7 | The time required for Load-based scaling |
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Scale up | 10 minutesmins. | Scale down | 9 minutesmins. | Startup | 4 minutesmins. |
Aura tab |
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summary | GCP |
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params | JTdCJTIydGl0bGUlMjIlM0ElMjJHQ1AlMjIlN0Q= |
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The process with the number of Query Engine =10 | The time required for Load-based scaling |
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scale up | 4 mins. | scale down | 3 mins. | startup | 3 mins. |
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