Merge pull request #148 from madhusudancs/replicaset
ReplicaSet documentation.
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@@ -220,6 +220,8 @@ toc:
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path: /docs/user-guide/jobs/
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path: /docs/user-guide/jobs/
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- title: Resource Quotas
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- title: Resource Quotas
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path: /docs/admin/resource-quota/
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path: /docs/admin/resource-quota/
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- title: Replica Sets
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path: /docs/user-guide/replicasets/
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- title: Kubernetes Design Docs
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- title: Kubernetes Design Docs
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section:
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section:
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@@ -0,0 +1,94 @@
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---
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---
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* TOC
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{:toc}
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## What is a _Replica Set_?
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Replica Set is the next-generation Replication Controller. The only difference
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between a _Replica Set_ and a
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[_Replication Controller_](/docs/user-guide/replication-controller/) right now is
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the selector support. Replica Set supports the new set-based selector requirements
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as described in the [labels user guide](/docs/user-guide/labels/#label-selectors)
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whereas a Replication Controller only supports equality-based selector requirements.
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Most [`kubectl`](/docs/user-guide/kubectl/kubectl/) commands that support
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Replication Controllers also support Replica Sets. One exception is the
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[`rolling-update`](/docs/user-guide/kubectl/kubectl_rolling-update/) command. If
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you want the rolling update functionality please consider using Deployments
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instead. Also, the
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[`rolling-update`](/docs/user-guide/kubectl/kubectl_rolling-update/) command is
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imperative whereas Deployments are declarative, so we recommend using Deployments
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through the [`rollout`](/docs/user-guide/kubectl/kubectl_rollout/) command.
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While replica sets can be used independently, today it's mainly used by
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[Deployments](/docs/user-guide/deployments/) as a mechanism to orchestrate pod
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creation, deletion and updates. When you use Deployments you don't have to worry
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about managing the replica sets that they create. Deployments own and manage
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their replica sets.
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## When to use a Replica Set?
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A Replica Set ensures that a specified number of pod “replicas” are running at any given
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time. However, a Deployment is a higher-level concept that manages replica sets and
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provides declarative updates to pods along with a lot of other useful features.
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Therefore, we recommend using Deployments instead of directly using Replica Sets, unless
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you require custom update orchestration or don't require updates at all.
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### Example
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{% include code.html language="yaml" file="replicasets/frontend.yaml" ghlink="/docs/user-guide/replicasets/frontend.yaml" %}
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Saving this config into `frontend.yaml` and submitting it to a Kubernetes cluster should
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create the defined replica set and the pods that it manages.
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```shell
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$ kubectl create -f frontend.yaml
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replicaset "frontend" created
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$ kubectl describe rs/frontend
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Name: frontend
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Namespace: default
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Image(s): gcr.io/google_samples/gb-frontend:v3
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Selector: tier=frontend,tier in (frontend)
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Labels: app=guestbook,tier=frontend
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Replicas: 3 current / 3 desired
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Pods Status: 3 Running / 0 Waiting / 0 Succeeded / 0 Failed
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No volumes.
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Events:
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FirstSeen LastSeen Count From SubobjectPath Type Reason Message
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--------- -------- ----- ---- ------------- -------- ------ -------
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1m 1m 1 {replicaset-controller } Normal SuccessfulCreate Created pod: frontend-qhloh
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1m 1m 1 {replicaset-controller } Normal SuccessfulCreate Created pod: frontend-dnjpy
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1m 1m 1 {replicaset-controller } Normal SuccessfulCreate Created pod: frontend-9si5l
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$ kubectl get pods
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NAME READY STATUS RESTARTS AGE
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frontend-9si5l 1/1 Running 0 1m
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frontend-dnjpy 1/1 Running 0 1m
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frontend-qhloh 1/1 Running 0 1m
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```
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## Replica Set as an Horizontal Pod Autoscaler target
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A Replica Set can also be a target for
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[Horizontal Pod Autoscalers (HPA)](/docs/user-guide/horizontal-pod-autoscaling/),
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i.e. a Replica Set can be auto-scaled by an HPA. Here is an example HPA targeting
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the Replica Set we created in the previous example.
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{% include code.html language="yaml" file="replicasets/hpa-rs.yaml" ghlink="/docs/user-guide/replicasets/hpa-rs.yaml" %}
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Saving this config into `hpa-rs.yaml` and submitting it to a Kubernetes cluster should
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create the defined HPA that autoscales the target Replica Set depending on the CPU usage
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of the replicated pods.
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```shell
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kubectl create -f hpa-rs.yaml
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```
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Alternatively, you can just use the `kubectl autoscale` command to acommplish the same
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(and it's easier!)
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```shell
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kubectl autoscale rs frontend
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```
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+8
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# modify it according to your case
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# modify it according to your case
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replicas: 3
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replicas: 3
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# selector can be applied automatically
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# selector can be applied automatically
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# from the labels in the pod template if not set
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# from the labels in the pod template if not set,
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# selector:
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# but we are specifying the selector here to
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# matchLabels:
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# demonstrate its usage.
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# app: guestbook
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selector:
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# tier: frontend
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matchLabels:
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tier: frontend
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matchExpressions:
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- {key: tier, operator: In, values: [frontend]}
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template:
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template:
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metadata:
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metadata:
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labels:
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labels:
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apiVersion: autoscaling/v1
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kind: HorizontalPodAutoscaler
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metadata:
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name: frontend-scaler
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spec:
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scaleRef:
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kind: ReplicaSet
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name: frontend
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subresource: scale
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minReplicas: 3
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maxReplicas: 10
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cpuUtilization:
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targetPercentage: 50
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