feat(root): add storage and scheduling curriculum
Two new PARTIAL modules, moving ROOT 08 off PLANNED for the first time: root-08-m01-storage-fundamentals — ephemeral vs. persistent storage, PV/PVC/StorageClass. Lesson + knowledge check + real Labs (emptydir-pod, pv-pvc-mount, pvc-dynamic-task, storageclass-mcq). root-08-m02-scheduling-resource-governance — how the scheduler places Pods and how quotas/limits/priority/disruption budgets shape that placement. Lesson + knowledge check + real Labs (node-label-selector, node-taint-toleration, pod-affinity-mcq, priority-class-task, pod-disruption-budget-task, resource-quota-ns, limitrange-task). cluster-upgrade-mcq and etcd-backup-mcq deliberately left unwired — ROOT 11/DevOps territory, out of this phase's scope, not overlooked. Co-Authored-By: Claude Sonnet 5 <[email protected]>
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# Ephemeral vs. Persistent Storage
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## The default: a container's filesystem is thrown away
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By default, anything a container writes to its own filesystem disappears the moment that
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container is replaced — a crash, a rollout, a reschedule, anything. This is a deliberate design
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choice (it's part of what makes a Pod safely disposable/replaceable), but it means "just write
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files to disk" silently loses data unless you use one of Kubernetes' actual storage mechanisms.
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## emptyDir: shared, but still temporary
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An `emptyDir` volume gives a Pod's containers a shared directory that survives a container
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restart WITHIN the same Pod, but is deleted the moment the Pod itself is removed. It's the right
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tool for two containers in one Pod that need to share files with each other (a sidecar writing
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logs another container reads, for example) — not for anything that needs to outlive the Pod.
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```yaml
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volumes:
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- name: shared-data
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emptyDir: {}
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```
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## PersistentVolume & PersistentVolumeClaim: storage that outlives the Pod
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A **PersistentVolume (PV)** represents an actual piece of storage (a cloud disk, an NFS share,
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whatever the cluster's infrastructure provides) as a Kubernetes object. A
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**PersistentVolumeClaim (PVC)** is a Pod's REQUEST for storage matching some criteria (size,
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access mode) — the Pod references the PVC, not a PV directly, and Kubernetes binds the PVC to a
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matching PV.
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```
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Pod ──references──> PVC ("I need 5Gi, ReadWriteOnce") ──binds to──> PV (actual storage)
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```
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This indirection matters: a Pod's manifest doesn't need to know or care exactly which physical
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storage backs its PVC — that's resolved separately, and the same PVC keeps working even if the
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Pod behind it is replaced.
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## StorageClass & dynamic provisioning
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Manually creating a PV for every PVC doesn't scale. A **StorageClass** describes a category of
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storage (e.g. "fast SSD" vs. "cheap archival") and, when a PVC requests that class, the cluster
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can automatically provision a matching PV on demand — this is "dynamic provisioning," and it's
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the normal way storage works on any real cloud-hosted cluster. A StorageClass also controls the
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**reclaim policy** — what happens to the underlying storage after its PVC is deleted (`Delete`
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the data, or `Retain` it for manual recovery).
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## The decision in one pass
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| You need... | Use |
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|---|---|
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| Temporary scratch space shared between containers in ONE Pod | `emptyDir` |
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| Storage that survives Pod replacement, manually provisioned | PV + PVC |
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| The above, provisioned automatically on demand | PVC + StorageClass (dynamic provisioning) |
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## Instructor Notes
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**Approximate timing:** 15 minutes read; 10 minutes live with the PV/PVC/StorageClass diagram.
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**Likely misconceptions to watch for:**
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- Students often assume `emptyDir` is "persistent" because the name doesn't obviously say
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otherwise. Be explicit: it survives a CONTAINER restart, not a POD deletion.
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- The PV/PVC indirection can seem like unnecessary ceremony at first — frame it as the same
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"declare what you want, let the system resolve it" pattern from ROOT 05's desired-state
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lesson, applied to storage instead of Pod count.
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**Discussion question:** "If a Pod using a PVC is deleted and replaced, what happens to its
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data?" (Answer: it's preserved — the PVC and its bound PV are separate objects from the Pod,
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and a new Pod referencing the same PVC picks up right where the data was left, which is the
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entire point of using persistent storage over `emptyDir`.)
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**Optional extension:** ask what a `Retain` reclaim policy is protecting against, compared to
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`Delete` (answer: accidental data loss from deleting a PVC by mistake — `Retain` keeps the
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underlying storage around for manual recovery instead of immediately destroying it).
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# Knowledge Check: Storage Fundamentals
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---
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**1. Two containers in the same Pod need to share files with each other, but nothing needs to
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survive the Pod being replaced. What's the simplest correct choice?**
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*Answer:* `emptyDir` — shared within the Pod, deliberately temporary, exactly matching the
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requirement. Reaching for a PV/PVC here would be more machinery than the problem needs.
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---
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**2. A Pod using a PVC is deleted and a new Pod is created referencing the SAME PVC. What
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happens to the data?**
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*Answer:* It's preserved. The PVC and its bound PV exist independently of any specific Pod — the
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new Pod picks up exactly where the data was left, which is the entire reason to use persistent
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storage instead of `emptyDir` for anything that needs to outlive a single Pod's lifetime.
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---
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**3. True or false: a Pod's manifest must specify exactly which PersistentVolume backs its
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storage request.**
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*Answer:* False. A Pod references a PVC (a request), not a PV directly — the binding between
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PVC and an actual PV is resolved separately, which is exactly the indirection that lets the same
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Pod manifest work regardless of which physical storage ends up behind it.
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---
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**4. What does a StorageClass's reclaim policy actually control, and why would a team choose
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`Retain` over `Delete` for a production database's storage?**
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*Answer:* It controls what happens to the underlying storage after its PVC is deleted. `Retain`
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keeps the data around for manual recovery instead of immediately destroying it — a safety
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margin against an accidental `kubectl delete pvc` on something genuinely important, at the cost
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of needing manual cleanup later.
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## Instructor Notes
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**Facilitation:** Question 2 is worth confirming lands correctly — it's the single fact that
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justifies the entire PV/PVC indirection existing at all.
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**Approximate timing:** 5 minutes.
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# How the Scheduler Places Pods, and How Governance Shapes It
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## The scheduler's job
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Every time a new Pod needs to run, the scheduler decides which node it lands on — you never
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manually assign a Pod to a node in normal operation (ROOT 05's mental model). By default, the
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scheduler picks based on available resources (does this node have enough free CPU/memory), but
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several mechanisms let you INFLUENCE or CONSTRAIN that decision when the default isn't good
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enough.
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## Steering placement: nodeSelector, taints/tolerations, affinity
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- **nodeSelector** — the simplest constraint: "only schedule this Pod on nodes with THIS
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label" (e.g. `disktype: ssd`). A blunt but clear tool.
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- **Taints and tolerations** — the inverse relationship. A NODE is tainted (marked "don't
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schedule here unless you specifically tolerate this taint") and a Pod TOLERATES a specific
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taint to be allowed to land there anyway. Commonly used to reserve nodes for specific
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workloads (e.g. GPU nodes tainted so only GPU-requiring Pods land there) or to keep general
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workloads off nodes reserved for something else.
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- **Affinity/anti-affinity** — more expressive rules: "prefer/require scheduling near Pods with
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label X" (affinity) or "prefer/require scheduling AWAY from Pods with label X"
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(anti-affinity). A common real use: anti-affinity between replicas of the same application, so
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a single node failure can't take down every replica at once.
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## Priority: which Pods matter more when resources are tight
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A **PriorityClass** lets you mark some Pods as more important than others. When the cluster is
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under resource pressure, a higher-priority pending Pod can even cause a lower-priority RUNNING
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Pod to be evicted (preempted) to make room — this is a real, consequential mechanism, not just a
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scheduling hint, and misconfiguring it can mean an unimportant batch job unexpectedly evicts
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something that actually mattered.
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## PodDisruptionBudget: protecting against VOLUNTARY disruption
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A **PodDisruptionBudget (PDB)** limits how many replicas of an application can be taken down
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AT ONCE during voluntary disruptions — a node drain for maintenance, a cluster upgrade — by
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declaring a minimum number (or percentage) that must stay available. This does NOT protect
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against involuntary disruption (a node crashing unexpectedly) — it specifically constrains
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operations that Kubernetes itself controls the timing of.
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```yaml
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apiVersion: policy/v1
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kind: PodDisruptionBudget
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metadata:
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name: web-pdb
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spec:
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minAvailable: 2
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selector:
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matchLabels: { app: web }
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```
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Without a PDB, a node drain during routine maintenance could legally take down every replica of
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`web` simultaneously if they all happened to be on nodes being drained together — a PDB is what
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prevents that from being "technically allowed."
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## ResourceQuota & LimitRange: governance at the Namespace level
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A **ResourceQuota** caps the TOTAL resources (CPU, memory, object counts) a Namespace can
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consume — useful for multi-team clusters where one team's runaway workload shouldn't be able to
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starve everyone else. A **LimitRange** sets DEFAULT and/or min/max resource requests/limits for
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individual containers within a Namespace, so a Pod created without explicit resource settings
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still gets sensible ones rather than none at all.
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## Instructor Notes
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**Approximate timing:** 20 minutes read; 15 minutes live given the number of concepts covered.
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**Likely misconceptions to watch for:**
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- Taints/tolerations are frequently confused with affinity — clarify the directionality: a
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taint REPELS by default (node says no); a toleration is what lets a specific Pod through
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anyway. Affinity is the Pod expressing a preference, not the node restricting access.
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- Students sometimes assume a PDB prevents ALL disruption. Be explicit that it only constrains
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VOLUNTARY disruption (things Kubernetes/an operator controls the timing of) — a hardware
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failure ignores PDBs entirely, because nobody is "asking permission" for a crash.
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**Discussion question:** "Why would a real team use anti-affinity between replicas of the same
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application instead of just trusting the scheduler's default spread?" (Answer: the default
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scheduler does consider spread as one factor among several, but doesn't GUARANTEE it the way an
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explicit anti-affinity rule does — for something where "don't lose all replicas to one node
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failure" is a hard requirement, not just a nice-to-have, an explicit rule is safer than an
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implicit tendency.)
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**Optional extension:** ask what would happen to a Namespace's Pods if a ResourceQuota were
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added AFTER Pods without explicit resource requests already existed there (a good bridge to why
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LimitRange defaults matter — a Quota alone doesn't retroactively fix Pods created without
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resource requests, it just constrains what NEW Pods can consume going forward).
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# Knowledge Check: Scheduling & Resource Governance
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---
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**1. A node is tainted `dedicated=gpu:NoSchedule`. A Pod with no matching toleration is
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pending and never gets scheduled anywhere else, even though other untainted nodes have free
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capacity. What's actually going on?**
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*Answer:* Nothing is wrong — the taint only affects the tainted node specifically; it doesn't
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explain why the Pod isn't landing elsewhere. If it's stuck pending entirely, the cause is
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something else (insufficient resources cluster-wide, a nodeSelector/affinity rule that can't be
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satisfied anywhere) — the taint itself only ever repels from the ONE node it's applied to.
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---
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**2. During a planned node drain for maintenance, would you expect a PodDisruptionBudget to
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prevent an UNRELATED node from crashing unexpectedly at the same time?**
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*Answer:* No. A PDB only constrains VOLUNTARY disruptions — operations Kubernetes/an operator
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controls the timing of, like a drain. An unrelated hardware failure is involuntary and ignores
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PDBs entirely; nothing is "asking permission" for a crash.
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---
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**3. True or false: a higher-priority pending Pod can cause a lower-priority, already-RUNNING
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Pod to be evicted to make room.**
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*Answer:* True — this is what Pod priority/preemption actually does under resource pressure,
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not just a scheduling hint. Misconfigured priorities can have real, disruptive consequences for
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this reason.
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---
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**4. A team notices new Pods in their Namespace keep getting created with no CPU/memory
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requests at all, even though nobody set that intentionally. What governance mechanism would fix
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this going forward, and what would it NOT fix?**
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*Answer:* A LimitRange with default requests/limits would apply sensible defaults to future
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Pods created without explicit values. It would NOT retroactively change Pods that already exist
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— it only affects new Pod creation from the point it's added.
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## Instructor Notes
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**Facilitation:** Question 2 reinforces a genuinely important, often-missed distinction
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(voluntary vs. involuntary disruption) — worth confirming it lands, not just that the answer was
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guessed correctly.
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**Approximate timing:** 5-7 minutes given the density of this module's lesson.
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