Kubernetes is the de-facto container orchestration platform for deploying, scaling, and managing containerized applications. This recipe helps you spin up a Kubernetes control plane and worker nodes to learn, test, and develop cloud-native applications.
Every EasyEnv recipe spins up in seconds on a real Linux VM-not a stripped-down sandbox. The Kubernetes recipe is provisioned by an open Ansible role, so the machine that boots for you is reproducible, inspectable, and matches what you would get in production.
$ easyenv workspace create --recipe kubernetes --name kubernetes-demo
Provisioning Kubernetes...
Workspace ready in ~45s
$ easyenv workspace ssh kubernetes-demo
Connected. You're on the machine.Kubernetes is the de-facto orchestrator for containerized workloads. It schedules containers across a cluster of machines, restarts them when they fail, scales them under load, and exposes them to traffic through a layered networking model. Originally built at Google and now governed by the CNCF, it is the platform every cloud provider, every PaaS, and most internal platforms ultimately speak.
Kubernetes itself is a control plane (an API server, a scheduler, a controller manager, and an etcd datastore) plus a kubelet on every node that executes whatever the control plane decides. Almost everything else (Ingress controllers, service meshes, cert managers, GPU operators) is community software running on top of that core API.
A minimal Deployment + Service you can apply on the workspace immediately after launch.
apiVersion: apps/v1
kind: Deployment
metadata:
name: hello
spec:
replicas: 2
selector:
matchLabels: { app: hello }
template:
metadata:
labels: { app: hello }
spec:
containers:
- name: web
image: nginx:1.27
ports: [{ containerPort: 80 }]
---
apiVersion: v1
kind: Service
metadata: { name: hello }
spec:
selector: { app: hello }
ports: [{ port: 80, targetPort: 80 }]Questions hiring teams use to evaluate engineers on Kubernetes. Want to ask them on a real, production-like environment? Try EasyEnv for technical interviews.
Walk through what happens when you `kubectl apply` a Deployment.
A Pod is stuck in CrashLoopBackOff. How do you debug it?
Explain the difference between a Service of type ClusterIP, NodePort, and LoadBalancer.
What does a readiness probe do, and how is it different from a liveness probe?
How does a HorizontalPodAutoscaler decide when to scale, and what can go wrong?
Describe a situation where you would reach for a StatefulSet instead of a Deployment.
Learn Kubernetes from pod to production. Deployments, services, ingress, Helm, scaling, RBAC, and observability.
Stop guessing from resumes. Drop candidates into a real Kubernetes workspace, watch them debug, deploy and operate it, score the result automatically, and replay the session. We also evaluate how they work with AI.
Designs and manages cloud infrastructure on AWS, Azure, or GCP, focusing on scalability and cost optimization
K3s
MinIO
KindKubernetesDevelops and maintains internal platforms and tools to improve developer productivity and system efficiency
K3s
NginxKindKubernetes
