version: 1

id: kubernetes-deploy

title: Deploy a Reliable Workload to Kubernetes

summary: Fix a broken Deployment manifest, apply it to a live k3d cluster, and verify probes and resource limits.

difficulty: intermediate

estimatedMinutes: 40

prerequisites: [docker-networking]

image: alpine/k8s:1.31.4

shell: /bin/bash

runtime:

  type: k3d

setup:

  - "mkdir -p /workspace"

  - "printf 'apiVersion: apps/v1\nkind: Deployment\nmetadata:\n  name: api\nspec:\n  replicas: 1\n  selector:\n    matchLabels:\n      app: api\n  template:\n    metadata:\n      labels:\n        app: api\n    spec:\n      containers:\n        - name: api\n          image: nginx:1.27-alpine\n          ports:\n            - containerPort: 80\n' > /workspace/deployment.yaml"

tasks:

  - id: reliability

    title: Harden and deploy the workload

    description: Add readiness and liveness HTTP probes plus CPU and memory requests/limits to deployment.yaml, then apply it with kubectl.

    hints:

      - Run kubectl apply -f /workspace/deployment.yaml after editing the manifest.

      - Both probes can target path / on port 80.

      - resources has requests and limits maps under the container spec.

    checks:

      - type: kubernetes

        name: Deployment applied

        command: kubectl get deploy api

      - type: kubernetes

        name: Readiness probe configured

        command: kubectl get deploy api -o yaml | grep -q readinessProbe

      - type: kubernetes

        name: Liveness probe configured

        command: kubectl get deploy api -o yaml | grep -q livenessProbe

      - type: kubernetes

        name: Resource requests configured

        command: kubectl get deploy api -o yaml | grep -q 'requests:'

      - type: kubernetes

        name: Pods become ready

        command: kubectl wait --for=condition=ready pod -l app=api --timeout=90s

limits: {cpus: "1.0", memory: 512m, pids: 256, timeout: 3600, network: true}

attribution: "Scenario inspired by 90DaysOfDevOps Kubernetes topics; interactive lab authored by PlatformForge."