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Merge pull request #7084 from benmccann/avail-doc-fixes
Minor cleanup for availability docs
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@ -73,7 +73,7 @@ Mitigations:
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- Action: Multiple independent clusters (and avoid making risky changes to all clusters at once)
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- Mitigates: Everything listed above.
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## Chosing Multiple Kubernetes Clusters
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## Choosing Multiple Kubernetes Clusters
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You may want to set up multiple kubernetes clusters, both to
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have clusters in different regions to be nearer to your users; and to tolerate failures and/or invasive maintenance.
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@ -120,8 +120,7 @@ then you need `R + U` clusters. If it is not (e.g you want to ensure low latenc
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cluster failure), then you need to have `R * U` clusters (`U` in each of `R` regions). In any case, try to put each cluster in a different zone.
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Finally, if any of your clusters would need more than the maximum recommended number of nodes for a Kubernetes cluster, then
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you may need even more clusters. Our roadmap (
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https://github.com/GoogleCloudPlatform/kubernetes/blob/24e59de06e4da61f5dafd4cd84c9340a2c0d112f/docs/roadmap.md)
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you may need even more clusters. Our [roadmap](https://github.com/GoogleCloudPlatform/kubernetes/blob/master/docs/roadmap.md)
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calls for maximum 100 node clusters at v1.0 and maximum 1000 node clusters in the middle of 2015.
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## Working with multiple clusters
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@ -129,4 +128,3 @@ calls for maximum 100 node clusters at v1.0 and maximum 1000 node clusters in th
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When you have multiple clusters, you would typically create services with the same config in each cluster and put each of those
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service instances behind a load balancer (AWS Elastic Load Balancer, GCE Forwarding Rule or HTTP Load Balancer), so that
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failures of a single cluster are not visible to end users.
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