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 This was Tier-1-isolation groundwork that got superseded same-day by the full-ephemeral-per-student architecture (see docs/LAB_ARCHITECTURE.md) — the field is kept as descriptive metadata only, per the note now in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]>
41 lines
1.6 KiB
JSON
41 lines
1.6 KiB
JSON
{
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"id": "dry-run-manifest-basics",
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"title": "Generating YAML Manifests",
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"category": "Core Concepts",
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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": 4,
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"description": "## Generating and Applying Manifests with Dry Run\n\nInstead of writing YAML from scratch, you can use `kubectl` to generate templates using `--dry-run=client -o yaml` and then apply them.\n\n**Your task:**\n\nUse `kubectl run` with `--dry-run=client -o yaml` to generate a Pod manifest for `web-pod` using image `httpd:alpine`, then pipe it directly to `kubectl apply` to create the pod.\n\n> 💡 Tip: Chain the `kubectl run` dry-run output directly into `kubectl apply` using a pipe.",
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"hints": [
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{
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"title": "Combine dry-run with apply",
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"body": "Chain kubectl run --dry-run=client -o yaml with kubectl apply -f - using a pipe.",
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"command": "kubectl run web-pod --image=httpd:alpine --dry-run=client -o yaml | kubectl apply -f -"
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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 'web-pod' exists",
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"command": "kubectl get pod web-pod -o jsonpath='{.metadata.name}'",
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"expected_output": "web-pod",
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"match": "exact"
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},
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{
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"description": "Pod uses httpd:alpine image",
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"command": "kubectl get pod web-pod -o jsonpath='{.spec.containers[0].image}'",
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"expected_output": "httpd:alpine",
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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 web-pod --ignore-not-found --grace-period=0 --force"
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}
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]
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}
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