Learn How to Scale Your Kubernetes Deployments Dynamically

Learn How to Scale Your Kubernetes Deployments Dynamically

Cluster Autoscaler. Enter into the EC service page on the region in which we have deployed the cluster. Select the Auto Scaling Group options. Select the Auto Scaling Group that has been created as part of the EKS cluster-creating process. Go to the Automatic Scaling tab and click on the Add Policy button available.

When talking about Kubernetes, you’re always talking about the flexibility options that it provides. Usually, one of the topics that come into the discussion is the elasticity options that come with the platform — especially when working on a public cloud provider. But how can we really implement it?

Before we start to show how to scale our Kubernetes platform, we need to do a quick recap of the options that are available to us:

  • Cluster Autoscaler: When the load of the whole infrastructure reaches its peak, we can improve it by creating new worker nodes to host more service instances.
  • Horizontal Pod Autoscaling: When the load for a specific pod or set of pods reaches its peak, we deploy a new instance to ensure that we can have the global availability that we need.

Let’s see how we can implement these using one of the most popular Kubernetes-managed services, Amazon’s Elastic Kubernetes Services (EKS).


The first thing that we’re going to do is create a cluster with a single worker node to demonstrate the scalability behavior easily. And to do that, we’re going to use the command-line tool eksctl to manage an EKS cluster easily.

To be able to create the cluster, we’re going to do it with the following command:

eksctl create cluster --name=eks-scalability --nodes=1 --region=eu-west-2 --node-type=m5.large --version 1.17 --managed --asg-access

After a few minutes, we will have our own Kubernetes cluster with a single node to deploy applications on top of it.

Now we’re going to create a sample application to generate load. We’re going to use TIBCO BusinessWorks Application Container Edition to generate a simple application. It will be a REST API that will execute a loop of 100,000 iterations acting as a counter and return a result.

programming kubernetes software-engineering k8s software-development

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