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mv "Assign Pods" and "Taints and Tolerations" concepts to "Scheduling and Eviction"

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* Moved "Assigning Pods to Nodes" article to Concepts -> Scheduling and Eviction
* Moved "Taints and Tolerations" article to Concepts -> Scheduling and Eviction
* Updated weight of the "Kubernetes Scheduler" article so it appears first
* Updated redirects
* Replaced links to "Assigning Pods to Nodes" and "Taints and Tolerations" articles
to avoid redirects.

Signed-off-by: Adam Kaplan <adam.kaplan@redhat.com>
This commit is contained in:
Adam Kaplan
2020-04-21 17:13:47 -04:00
parent 4d5ddc5586
commit 55e17b86f2
23 changed files with 35 additions and 33 deletions
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content/en/blog/_posts/2018-04-13-local-persistent-volumes-beta.md
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@@ -144,7 +144,7 @@ The local persistent volume beta feature is not complete by far. Some notable en
[Pod disruption budget](/docs/concepts/workloads/pods/disruptions/) is also very important for those workloads that must maintain quorum. Setting a disruption budget for your workload ensures that it does not drop below quorum due to voluntary disruption events, such as node drains during upgrade.
[Pod affinity and anti-affinity](/docs/concepts/configuration/assign-pod-node/#inter-pod-affinity-and-anti-affinity-beta-feature) ensures that your workloads stay either co-located or spread out across failure domains. If you have multiple local persistent volumes available on a single node, it may be preferable to specify an pod anti-affinity policy to spread your workload across nodes. Note that if you want multiple pods to share the same local persistent volume, you do not need to specify a pod affinity policy. The scheduler understands the locality constraints of the local persistent volume and schedules your pod to the correct node.
[Pod affinity and anti-affinity](/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity-beta-feature) ensures that your workloads stay either co-located or spread out across failure domains. If you have multiple local persistent volumes available on a single node, it may be preferable to specify an pod anti-affinity policy to spread your workload across nodes. Note that if you want multiple pods to share the same local persistent volume, you do not need to specify a pod affinity policy. The scheduler understands the locality constraints of the local persistent volume and schedules your pod to the correct node.
## Getting involved
content/en/blog/_posts/2018-10-10-runtimeclass.md
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@@ -27,7 +27,7 @@ Why is RuntimeClass a pod level concept? The Kubernetes resource model expects c
## What's next?
The RuntimeClass resource is an important foundation for surfacing runtime properties to the control plane. For example, to implement scheduler support for clusters with heterogeneous nodes supporting different runtimes, we might add [NodeAffinity](/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity) terms to the RuntimeClass definition. Another area to address is managing the variable resource requirements to run pods of different runtimes. The [Pod Overhead proposal](https://docs.google.com/document/d/1EJKT4gyl58-kzt2bnwkv08MIUZ6lkDpXcxkHqCvvAp4/preview) was an early take on this that aligns nicely with the RuntimeClass design, and may be pursued further.
The RuntimeClass resource is an important foundation for surfacing runtime properties to the control plane. For example, to implement scheduler support for clusters with heterogeneous nodes supporting different runtimes, we might add [NodeAffinity](/docs/concepts/scheduling-eviction/assign-pod-node/#affinity-and-anti-affinity) terms to the RuntimeClass definition. Another area to address is managing the variable resource requirements to run pods of different runtimes. The [Pod Overhead proposal](https://docs.google.com/document/d/1EJKT4gyl58-kzt2bnwkv08MIUZ6lkDpXcxkHqCvvAp4/preview) was an early take on this that aligns nicely with the RuntimeClass design, and may be pursued further.
Many other RuntimeClass extensions have also been proposed, and will be revisited as the feature continues to develop and mature. A few more extensions that are being considered include: