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118 lines
6.2 KiB
Markdown
118 lines
6.2 KiB
Markdown
<!-- BEGIN MUNGE: UNVERSIONED_WARNING -->
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<!-- BEGIN STRIP_FOR_RELEASE -->
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<img src="http://kubernetes.io/kubernetes/img/warning.png" alt="WARNING"
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width="25" height="25">
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<img src="http://kubernetes.io/kubernetes/img/warning.png" alt="WARNING"
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width="25" height="25">
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<img src="http://kubernetes.io/kubernetes/img/warning.png" alt="WARNING"
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width="25" height="25">
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<img src="http://kubernetes.io/kubernetes/img/warning.png" alt="WARNING"
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width="25" height="25">
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<img src="http://kubernetes.io/kubernetes/img/warning.png" alt="WARNING"
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width="25" height="25">
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<h2>PLEASE NOTE: This document applies to the HEAD of the source tree</h2>
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If you are using a released version of Kubernetes, you should
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refer to the docs that go with that version.
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Documentation for other releases can be found at
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[releases.k8s.io](http://releases.k8s.io).
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</strong>
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--
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<!-- END STRIP_FOR_RELEASE -->
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<!-- END MUNGE: UNVERSIONED_WARNING -->
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# Rescheduler: guaranteed scheduling of critical addons
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## Motivation
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In addition to Kubernetes core components like api-server, scheduler, controller-manager running on a master machine
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there is a bunch of addons which due to various reasons have to run on a regular cluster node, not the master.
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Some of them are critical to have fully functional cluster: Heapster, DNS, UI. Users can break their cluster
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by evicting a critical addon (either manually or as a side effect of an other operation like upgrade)
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which possibly can become pending (for example when the cluster is highly utilized).
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To avoid such situation we want to have a mechanism which guarantees that
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critical addons are scheduled assuming the cluster is big enough.
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This possibly may affect other pods (including production user’s applications).
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## Design
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Rescheduler will ensure that critical addons are always scheduled.
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In the first version it will implement only this policy, but later we may want to introduce other policies.
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It will be a standalone component running on master machine similarly to scheduler.
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Those components will share common logic (initially rescheduler will in fact import some of scheduler packages).
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### Guaranteed scheduling of critical addons
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Rescheduler will observe critical addons
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(with annotation `scheduler.alpha.kubernetes.io/critical-pod`).
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If one of them is marked by scheduler as unschedulable (pod condition `PodScheduled` set to `false`, the reason set to `Unschedulable`)
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the component will try to find a space for the addon by evicting some pods and then the scheduler will schedule the addon.
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#### Scoring nodes
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Initially we want to choose a random node with enough capacity
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(chosen as described in [Evicting pods](rescheduling-for-critical-pods.md#evicting-pods)) to schedule given addons.
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Later we may want to introduce some heuristic:
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* minimize number of evicted pods with violation of disruption budget or shortened termination grace period
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* minimize number of affected pods by choosing a node on which we have to evict less pods
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* increase probability of scheduling of evicted pods by preferring a set of pods with the smallest total sum of requests
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* avoid nodes which are ‘non-drainable’ (according to drain logic), for example on which there is a pod which doesn’t belong to any RC/RS/Deployment
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#### Evicting pods
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There are 2 mechanism which possibly can delay a pod eviction: Disruption Budget and Termination Grace Period.
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While removing a pod we will try to avoid violating Disruption Budget, though we can’t guarantee it
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since there is a chance that it would block this operation for longer period of time.
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We will also try to respect Termination Grace Period, though without any guarantee.
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In case we have to remove a pod with termination grace period longer than 10s it will be shortened to 10s.
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The proposed order while choosing a node to schedule a critical addon and pods to remove:
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1. a node where the critical addon pod can fit after evicting only pods satisfying both
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(1) their disruption budget will not be violated by such eviction and (2) they have grace period <= 10 seconds
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1. a node where the critical addon pod can fit after evicting only pods whose disruption budget will not be violated by such eviction
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1. any node where the critical addon pod can fit after evicting some pods
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### Interaction with Scheduler
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To avoid situation when Scheduler will schedule another pod into the space prepared for the critical addon,
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the chosen node has to be temporarily excluded from a list of nodes considered by Scheduler while making decisions.
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For this purpose the node will get a temporary
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[Taint](../../docs/design/taint-toleration-dedicated.md) “CriticalAddonsOnly”
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and each critical addon has to have defined toleration for this taint.
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After Rescheduler has no more work to do: all critical addons are scheduled or cluster is too small for them,
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all taints will be removed.
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### Interaction with Cluster Autoscaler
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Rescheduler possibly can duplicate the responsibility of Cluster Autoscaler:
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both components are taking action when there is unschedulable pod.
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It may cause the situation when CA will add extra node for a pending critical addon
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and Rescheduler will evict some running pods to make a space for the addon.
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This situation would be rare and usually an extra node would be anyway needed for evicted pods.
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In the worst case CA will add and then remove the node.
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To not complicate architecture by introducing interaction between those 2 components we accept this overlap.
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We want to ensure that CA won’t remove nodes with critical addons by adding appropriate logic there.
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### Rescheduler control loop
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The rescheduler control loop will be as follow:
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* while there is an unschedulable critical addon do the following:
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* choose a node on which the addon should be scheduled (as described in Evicting pods)
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* add taint to the node to prevent scheduler from using it
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* delete pods which blocks the addon from being scheduled
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* wait until scheduler will schedule the critical addon
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* if there is no more critical addons for which we can help, ensure there is no node with the taint
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<!-- BEGIN MUNGE: GENERATED_ANALYTICS -->
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[]()
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<!-- END MUNGE: GENERATED_ANALYTICS -->
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