Pre-Phase-1 platform work, approved and tested earlier but not yet committed: - Terminal banner: "RootNode Academy Lab — node: k8s-lab", upstream KubeKosh attribution left untouched in footer/README/LICENSE. - RootNode curriculum mode: scenarios/rootnode-path.json (Foundation -> Workloads -> Networking -> Configuration -> Troubleshooting -> Real Ops -> Capstone), built from existing scenario content grouped by category, no new scenarios invented. New GET /api/curriculum/path endpoint. - Student roster + per-student progress: instructor-roster, pick-your-name login (no password), students/environments-adjacent progress table migrated to a (student_id, scenario_id) composite key so practice progress and exam sessions are isolated per student instead of one global bucket. New /api/roster, /api/login endpoints. - scenarios/data/*.json: added isolation_type metadata (shared_namespace vs ephemeral_cluster) from an audit of which scenarios execute cluster-scoped or node-level commands. This was Tier-1-isolation groundwork that got superseded same-day by the full-ephemeral-per-student architecture (see docs/LAB_ARCHITECTURE.md) — the field is kept as descriptive metadata only, per the note now in scenarios/SCHEMA.md. Not wasted: it's an accurate audit of which scenarios touch cluster-scoped resources, useful independent of isolation model. - .gitignore added (node_modules/, frontend/dist/, *.db, /data/, .env) — none existed before; without it, npm installs during testing would have landed in a commit. Known limitation still open: no frontend UI for any of this yet (login screen, roster-add form, curriculum view) — API-only. No auth on the roster-add endpoint. Co-Authored-By: Claude Sonnet 5 <[email protected]>
59 lines
2.6 KiB
JSON
59 lines
2.6 KiB
JSON
{
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"id": "resource-limits-task",
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"title": "Resource Requests and Limits",
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"category": "Configuration",
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"isolation_type": "shared_namespace",
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"difficulty": "Easy",
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"type": "task",
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"weight": 5,
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"description": "## Resource Requests and Limits\n\nProper resource management prevents noisy-neighbour issues and enables the Kubernetes scheduler to make good placement decisions.\n\n**Your task:**\n\nCreate a Pod named `limited-pod` using the `nginx:alpine` image with the following resource configuration:\n\n| | CPU | Memory |\n|---|---|---|\n| **Request** | `100m` | `64Mi` |\n| **Limit** | `200m` | `128Mi` |\n\n```bash\n# Tip: write a manifest and apply it\nkubectl apply -f limited-pod.yaml\n```",
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"hints": [
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{
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"title": "Pod manifest with resources",
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"body": "Add a `resources` block under `spec.containers[].resources` with `requests` and `limits` sub-keys.",
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"command": "cat <<EOF | kubectl apply -f -\napiVersion: v1\nkind: Pod\nmetadata:\n name: limited-pod\nspec:\n containers:\n - name: app\n image: nginx:alpine\n resources:\n requests:\n cpu: \"100m\"\n memory: \"64Mi\"\n limits:\n cpu: \"200m\"\n memory: \"128Mi\"\nEOF"
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}
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],
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"setup_commands": [],
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"validation": {
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"commands": [
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{
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"description": "Pod 'limited-pod' exists",
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"command": "kubectl get pod limited-pod -o jsonpath='{.metadata.name}'",
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"expected_output": "limited-pod",
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"match": "exact"
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},
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{
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"description": "CPU request is 100m",
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"command": "kubectl get pod limited-pod -o jsonpath='{.spec.containers[0].resources.requests.cpu}'",
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"expected_output": "100m",
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"match": "exact"
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},
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{
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"description": "Memory limit is 128Mi",
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"command": "kubectl get pod limited-pod -o jsonpath='{.spec.containers[0].resources.limits.memory}'",
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"expected_output": "128Mi",
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"match": "exact"
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},
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{
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"description": "CPU limit is 200m",
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"command": "kubectl get pod limited-pod -o jsonpath='{.spec.containers[0].resources.limits.cpu}'",
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"expected_output": "200m",
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"match": "exact"
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},
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{
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"description": "Memory request is 64Mi",
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"command": "kubectl get pod limited-pod -o jsonpath='{.spec.containers[0].resources.requests.memory}'",
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"expected_output": "64Mi",
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"match": "exact"
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}
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]
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},
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"default_namespace": "default",
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"teardown_commands": [
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{
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"command": "kubectl delete pod limited-pod --ignore-not-found --grace-period=0 --force"
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}
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]
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}
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