In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

1. •

   Learners will set up Minikube and kubectl to create a functional Kubernetes environment. They will verify the installation, start a cluster, and ensure connectivity.

2. •

   Learners will deploy a simple Nginx application on Kubernetes using a Deployment YAML file. They will expose the application externally and verify accessibility through a NodePort service.

3. •

   Learners will enable horizontal pod autoscaling (HPA) to dynamically adjust the number of pods based on CPU usage. They will observe how Kubernetes scales resources in response to workload changes.

4. •

   Learners will modify and test different autoscaling thresholds to understand their impact on resource allocation. They will adjust CPU utilisation targets and analyse how Kubernetes reacts to this.

5. •

   Learners will implement resource requests, limits, and affinity rules to optimize workload distribution. They will configure pod scheduling preferences to improve performance and resource efficiency.

6. •

   Learners will simulate node failures and analyze Kubernetes’ self-healing capabilities. They will observe how pods are rescheduled to healthy nodes, ensuring application availability.

7. •

   Learners will deploy and scale a web application with horizontal pod autoscaling and resource limits. They will test the application’s resilience under simulated high traffic conditions.