Scale Deployments in Kubernetes

The short answer

In Kubernetes, to scale a Deployment, you can use the kubectl scale command as follows:

$ kubectl scale deployment <deployment> --replicas=<replicas>

Where:

• deployment is the name of the Deployment you want to scale.
• replicas is the number of replicas you want to define for the specified Deployment.

For example:

$ kubectl scale deployment node-worker --replicas=3
$ kubectl get deployment node-worker
NAME             READY   UP-TO-DATE   AVAILABLE   AGE
node-worker   3/3           3                      3                    1m

Auto-scaling Deployments

To automatically scale your Deployment and distribute the load by increasing the number of Pods, you can use the kubectl autoscale command as follows:

$ kubectl autoscale deployment <deployment> --cpu-percent=<percent> --min=<min> --max=<max>

Where:

• percent is the average CPU usage percentage.
• min is the minimum number of Pod replicas.
• max is the maximum number of Pod replicas.

When executing this command, Kubernetes will automatically increase the number of Pods if the average CPU utilization per Pod is higher than the specified percentage.

For example:

$ kubectl autoscale deployment node-worker --cpu-percent=80 --min=1 --max=3

Easily retrieve these commands using Warp's AI Command Suggestions feature

If you’re using Warp as your terminal, you can easily retrieve this command using the Warp AI Command Suggestions feature:

Entering kubernetes scale deployment in the AI Command Suggestions will prompt a kubectl command that can then quickly be inserted into your shell by doing CMD+ENTER.