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🐳 Link to clusterloader2, and new docs repo of etcd.
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ā€Žsig-scalability/configs-and-limits/provider-configs.md

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* Leader election results are non-deterministic on a typical cluster, and a config would be best served to be configured as worst-case. Not presently known whether there are performance impacts resulting from leader election resulting in either co-location or distribution of those components.
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* Improving the cluster performance loading to match production deployment scenarios is critical on-going work, especially clusterloader: [https://git.k8s.io/perf-tests/clusterloader](https://git.k8s.io/perf-tests/clusterloader)
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* Improving the cluster performance loading to match production deployment scenarios is critical on-going work, especially clusterloader2: [https://git.k8s.io/perf-tests/clusterloader2](https://git.k8s.io/perf-tests/clusterloader2)
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* Multi-zone / multi-az deployments are often used to manage large clusters, but for testing/scalability efforts the target is intentionally a single Availability Zone. This keeps greater consistency between environments that do and don’t support AZ-based deployments. Failures during scalability testing are outside the SIG charter. Protecting against network partitioning and improving total cluster availability (one of the key benefits to a multi-AZ strategy) are currently out scope for the Scalability SIG efforts.
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CoreOS commentary on etcd sizing.
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[https://github.com/coreos/etcd/blob/master/Documentation/op-guide/hardware.md](https://github.com/coreos/etcd/blob/master/Documentation/op-guide/hardware.md)
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[Hardware guidelines for administering etcd clusters](https://github.com/etcd-io/website/blob/master/content/docs/v3.4/op-guide/hardware.md)

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