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Merge pull request #344 from appuio/control-plane-scaling-guide
Add general guideline for control plane node scaling
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= Control Plane Node Scaling | ||
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The control plane node resource requirements depent on a number of different metrics. | ||
CPU requirements generally depend on the ammount on API write requests, while memory requirements generally depend on the amount of resource objects (most importantly Pod count) in the cluster. | ||
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To avoid cascading failures during a scheduled node reboot or an unexpected node failure, it's recommended to keep the overall CPU and memory usage not significantly higher than 60%. | ||
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== Guidelines | ||
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The following guidelines are an estimate, based on metrics collected from our managed clusters. | ||
Individual clusters may vary depending on worker node size and individual workload running on the cluster. | ||
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[NOTE] | ||
==== | ||
Many cloud providers don't support arbitrary VM sizes, so we'll usually recommend the closest available VM size that's at least as large as the recommended size below. | ||
==== | ||
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[cols="1,1"] | ||
|=== | ||
| Control Plane Spec | Cluster Parameters | ||
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| 4 CPU | ||
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16Gi Memory | ||
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| Small Cluster | ||
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max. 3 Worker Nodes | ||
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| 4 CPU | ||
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24Gi Memory | ||
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| Small Cluster | ||
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more than 3 Worker Nodes | ||
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more than 500 Pods | ||
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| 4 CPU | ||
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32Gi Memory | ||
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| Medium Cluster | ||
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more than 1000 Pods | ||
|=== | ||
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== References | ||
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See the https://insights.appuio.net/dashboards/f/J99QZvSVk/aldebaran?tag=capacity[capacity dashboards (VSHN internal link)] for more details about the current cluster sizes. |
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