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authorBob Wise <bob@bobsplanet.com>2017-06-16 14:24:27 -0700
committerGitHub <noreply@github.com>2017-06-16 14:24:27 -0700
commitbfed3e323e91ec90d2215ee3d1cf59b316f16e36 (patch)
tree9adf91e84be09dde746ac75151330375c02d6152
parent33e8bbe548513d4a83950ffb020df613171b2fc3 (diff)
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* Goal: 90 minutes
* Time to restore a fully saturated large cluster is important for cluster-wide failure recovery, and/or related emergency capacity provisioning (e.g. building and populating a new cluster to replace capacity in a failed one). This number also needs to correlate with max pods per cluster, and max scheduler throughput (500,000 pods / 100 pods per second ~ 90 minutes). We believe that this fulfills most real-world recovery requirements. The required time to recovery is usually driven primarily by trying to reduce the probability of multiple uncorrelated cluster failures (e.g. "one of our 3 clusters has failed. We're just fine unless another one fails before we've repaired/replaced the first failed one").
+## Control Plane Configurations for Testing
+
+Configuration of the control plane for cluster testing varies by provider, and there multiple reasonable configurations. Discussion and guideline of control plane configuration options and standards are documented [here](provider-configs.md).
+
## Open Questions
1. **What, if any, reasonable use cases exist for very large numbers of very small nodes (e.g. for isolation reasons - multitenant)? Based on comments so far, it seems that the answer is yes, and needs to be addressed.**<br>