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OSDOCS-8395: Migrated the Scaling lab from the ROSA workshop
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2 changes: 2 additions & 0 deletions _topic_maps/_topic_map_rosa.yml
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Expand Up @@ -206,6 +206,8 @@ Topics:
File: cloud-experts-deploying-s2i-webhook-cicd
- Name: S2i deployments
File: cloud-experts-deploying-application-s2i-deployments
- Name: Scaling an application
File: cloud-experts-deploying-application-scaling
---
Name: Getting started
Dir: rosa_getting_started
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:_mod-docs-content-type: ASSEMBLY
[id="cloud-experts-deploying-application-scaling"]
= Tutorial: Scaling an application
include::_attributes/attributes-openshift-dedicated.adoc[]
:context: cloud-experts-deploying-application-scaling
:source-highlighter: pygments
:pygments-style: emacs
:icons: font

toc::[]

//rosaworkshop.io content metadata
//Brought into ROSA product docs 2024-04-10

== Scaling

You can manually or automatically scale your pods by using the Horizontal Pod Autoscaler (HPA). You can also scale your cluster nodes.

=== Manual pod scaling

You can manually scale your application's pods by using one of the following methods:

* Changing your ReplicaSet or deployment definition
* Using the command line
* Using the web console


This workshop starts by using only one pod for the microservice. By defining a replica of `1` in your deployment definition, the Kubernetes Replication Controller strives to keep one pod alive. You then learn how to define pod autoscaling by using the link:https://docs.openshift.com/container-platform/latest/nodes/pods/nodes-pods-autoscaling.html[Horizontal Pod Autoscaler](HPA) which is based on the load and will scale out more pods, beyond your initial definition, if high load is experienced.

.Prerequisites

* An active ROSA cluster
* A deloyed the OSToy application

.Procedure

. In the OSToy app, click the *Networking* tab in the navigational menu.
. In the "Intra-cluster Communication" section, locate the box located beneath "Remote Pods" that randomly changes colors. Inside the box, you see the microservice's pod name. There is only one box in this example because there is only one microservice pod.
+
image::deploy-scale-network.png[HPA Menu]
+

. Confirm that there is only one pod running for the microservice by running the following command:
+
[source,terminal,highlight='4']
----
$ oc get pods
----
+
.Example output
[source,terminal]
----
NAME READY STATUS RESTARTS AGE
ostoy-frontend-679cb85695-5cn7x 1/1 Running 0 1h
ostoy-microservice-86b4c6f559-p594d 1/1 Running 0 1h
----

. Download the link:https://www.rosaworkshop.io/ostoy/yaml/ostoy-microservice-deployment.yaml[ostoy-microservice-deployment.yaml] and save it to your local machine.
. Change the deployment definition to three pods instead of one by using the following example:
+
[source,yaml]
----
spec:
selector:
matchLabels:
app: ostoy-microservice
replicas: 3
----

. Apply the replica changes by running the following command:
+
[source,terminal]
----
$ oc apply -f ostoy-microservice-deployment.yaml
----
+
[NOTE]
====
You can also edit the `ostoy-microservice-deployment.yaml` file in the OpenShift Web Console by going to the *Workloads > Deployments > ostoy-microservice > YAML* tab.
====

. Confirm that there are now 3 pods by running the following command:
+
[source,terminal]
----
$ oc get pods
----
+
The output shows that there are now 3 pods for the microservice instead of only one.
+
.Example output
+
[source,terminal]
----
NAME READY STATUS RESTARTS AGE
ostoy-frontend-5fbcc7d9-rzlgz 1/1 Running 0 26m
ostoy-microservice-6666dcf455-2lcv4 1/1 Running 0 81s
ostoy-microservice-6666dcf455-5z56w 1/1 Running 0 81s
ostoy-microservice-6666dcf455-tqzmn 1/1 Running 0 26m
----

. Scale the application by using the CLI or by using the web UI:
+
** In the CLI, decrease the number of pods from `3` to `2` by running the following command:
+
[source,terminal]
----
$ oc scale deployment ostoy-microservice --replicas=2
----
+
** From the navigational menu of the OpenShift web console UI, click *Workloads > Deployments > ostoy-microservice*.
** On the left side of the page, locate the blue circle with a "3 Pod" label in the middle.
** Selecting the arrows next to the circle scales the number of pods. Select the down arrow to `2`.
+
image::deploy-scale-uiscale.png[UI Scale]

.Verification

Check your pod counts by using the CLI, the web UI, or the OSToy app:

* From the CLI, confirm that you are using two pods for the microservice by running the following command:
+
[source,terminal]
----
$ oc get pods
----
+
.Example output
[source,terminal]
----
NAME READY STATUS RESTARTS AGE
ostoy-frontend-5fbcc7d9-rzlgz 1/1 Running 0 75m
ostoy-microservice-6666dcf455-2lcv4 1/1 Running 0 50m
ostoy-microservice-6666dcf455-tqzmn 1/1 Running 0 75m
----

* In the web UI, select *Workloads > Deployments > ostoy-microservice*.
+
image::deploy-scale-verify-workload.png[Verify the workload pods]


* You can also confirm that there are two pods in use by selecting **Networking** in the navigational menu of the OSToy app. There should be two colored boxes for the two pods.
+
image::deploy-scale-colorspods.png[UI Scale]

=== Pod Autoscaling

{product-title} offers a link:https://docs.openshift.com/container-platform/latest/nodes/pods/nodes-pods-autoscaling.html[Horizontal Pod Autoscaler] (HPA). The HPA uses metrics to increase or decrease the number of pods when necessary.

.Procedure

. From the navigational menu of the web UI, select *Pod Auto Scaling*.
+
image::deploy-scale-hpa-menu.png[HPA Menu]

. Create the HPA by running the following command:
+
[source,terminal]
----
$ oc autoscale deployment/ostoy-microservice --cpu-percent=80 --min=1 --max=10
----
+
This command creates an HPA that maintains between 1 and 10 replicas of the pods controlled by the ostoy-microservice deployment. Thoughout deployment, HPA increases and decreases the number of replicas to keep the average CPU use across all pods at 80% and 40 millicores.

. On the *Pod Auto Scaling > Horizontal Pod Autoscaling* page, select *Increase the load*.
+
[IMPORTANT]
====
Because increasing the load generates CPU intensive calculations, the page can become unresponsive. This is an expected response. Click *Increase the Load* only once. For more information about the process, see the link:https://github.com/openshift-cs/ostoy/blob/master/microservice/app.js#L32[microservice's GitHub repository].
====
+
After a few minutes, the new pods display on the page represented by colored boxes.
+
[NOTE]
====
The page can experience lag.
====

.Verification

Check your pod counts with one of the following methods:

* In the OSToy application's web UI, see the remote pods box:
+
image::deploy-scale-hpa-mainpage.png[HPA Main]
+
Because there is only one pod, increasing the workload should trigger an increase of pods.
+
* In the CLI, run the following command:
+
[source,terminal]
----
oc get pods --field-selector=status.phase=Running | grep microservice
----
+
.Example output
+
[source,terminal]
----
ostoy-microservice-79894f6945-cdmbd 1/1 Running 0 3m14s
ostoy-microservice-79894f6945-mgwk7 1/1 Running 0 4h24m
ostoy-microservice-79894f6945-q925d 1/1 Running 0 3m14s
----

* You can also verify autoscaling from the {cluster-manager}
+
. In the OpenShift web console navigational menu, click *Observe > Dashboards*.
. In the dashboard, select *Kubernetes / Compute Resources / Namespace (Pods)* and your namespace *ostoy*.
+
image::deploy-scale-hpa-metrics.png[Select metrics]
+
. A graph appears showing your resource usage across CPU and memory. The top graph shows recent CPU consumption per pod and the lower graph indicates memory usage. The following lists the callouts in the graph:
.. The load increased (A).
.. Two new pods were created (B and C).
.. The thickness of each graph represents the CPU consumption and indicates which pods handled more load.
.. The load decreased (D), and the pods were deleted.
+
image::deploy-scale-metrics.png[Select metrics]

=== Node Autoscaling

{product-title} allows you to use link:https://docs.openshift.com/rosa/rosa_cluster_admin/rosa_nodes/rosa-nodes-about-autoscaling-nodes.html[node autoscaling]. In this scenario, you will create a new project with a job that has a large workload that the cluster cannot handle. With autoscaling enabled, when the load is larger than your current capacity, the cluster will automatically create new nodes to handle the load.

.Prerequisites

* Autoscaling is enabled on your machine pools.

.Procedure

. Create a new project called `autoscale-ex` by running the following command:
+
[source,terminal]
----
$ oc new-project autoscale-ex
----

. Create the job by running the following command:
+
[source,terminal]
----
$ oc create -f https://raw.githubusercontent.com/openshift-cs/rosaworkshop/master/rosa-workshop/ostoy/yaml/job-work-queue.yaml
----
+

. After a few minuts, run the following command to see the pods:
+
[source,terminal]
----
$ oc get pods
----
+
.Example output
+
[source,terminal]
----
NAME READY STATUS RESTARTS AGE
work-queue-5x2nq-24xxn 0/1 Pending 0 10s
work-queue-5x2nq-57zpt 0/1 Pending 0 10s
work-queue-5x2nq-58bvs 0/1 Pending 0 10s
work-queue-5x2nq-6c5tl 1/1 Running 0 10s
work-queue-5x2nq-7b84p 0/1 Pending 0 10s
work-queue-5x2nq-7hktm 0/1 Pending 0 10s
work-queue-5x2nq-7md52 0/1 Pending 0 10s
work-queue-5x2nq-7qgmp 0/1 Pending 0 10s
work-queue-5x2nq-8279r 0/1 Pending 0 10s
work-queue-5x2nq-8rkj2 0/1 Pending 0 10s
work-queue-5x2nq-96cdl 0/1 Pending 0 10s
work-queue-5x2nq-96tfr 0/1 Pending 0 10s
----

. Because there are many pods in a `Pending` state, this status should trigger the autoscaler to create more nodes in your machine pool. Allow time to create these worker nodes.

. After a few minutes, use the following command to see how many worker nodes you now have:
+
[source,terminal]
----
$ oc get nodes
----
+
.Example output
+
[source,terminal]
----
NAME STATUS ROLES AGE VERSION
ip-10-0-138-106.us-west-2.compute.internal Ready infra,worker 22h v1.23.5+3afdacb
ip-10-0-153-68.us-west-2.compute.internal Ready worker 2m12s v1.23.5+3afdacb
ip-10-0-165-183.us-west-2.compute.internal Ready worker 2m8s v1.23.5+3afdacb
ip-10-0-176-123.us-west-2.compute.internal Ready infra,worker 22h v1.23.5+3afdacb
ip-10-0-195-210.us-west-2.compute.internal Ready master 23h v1.23.5+3afdacb
ip-10-0-196-84.us-west-2.compute.internal Ready master 23h v1.23.5+3afdacb
ip-10-0-203-104.us-west-2.compute.internal Ready worker 2m6s v1.23.5+3afdacb
ip-10-0-217-202.us-west-2.compute.internal Ready master 23h v1.23.5+3afdacb
ip-10-0-225-141.us-west-2.compute.internal Ready worker 23h v1.23.5+3afdacb
ip-10-0-231-245.us-west-2.compute.internal Ready worker 2m11s v1.23.5+3afdacb
ip-10-0-245-27.us-west-2.compute.internal Ready worker 2m8s v1.23.5+3afdacb
ip-10-0-245-7.us-west-2.compute.internal Ready worker 23h v1.23.5+3afdacb
----
+
You can see the worker nodes were automatically created to handle the workload.

. Return to the OSToy app by entering the following command:
+
[source,terminal]
----
$ oc project ostoy
----
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