feat(root): build Real Ops and capstone readiness content

root-12-real-ops gains a Detect -> Triage -> Diagnose -> Mitigate ->
Recover -> Verify -> Learn incident-response framing lesson at the
front of the existing 4-incident module, and a post-incident reflection
at the end — the incidents themselves are unchanged, still deliberately
un-guided ('you are responsible for this environment,' not 'complete
this exercise'). No fixes revealed; instructor notes carry the deeper
solution guidance the student-facing lesson intentionally withholds.

root-capstone-m02-capstone-readiness — a new READY orientation module:
what the Capstone measures, how the timed/randomized draw works, time
management and troubleshooting strategy under a clock, and a genuine
self-assessment checklist. Never publishes the current draw or answers.
See docs/ROOT_CAPSTONE_READINESS.md for why this module's completion is
deliberately independent of the real capstone's server-side unlock gate.

Co-Authored-By: Claude Sonnet 5 <[email protected]>
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2026-08-26 09:08:01 -05:00
co-authored by Claude Sonnet 5
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# What the Capstone Measures & How the Draw Works
## What the RootNode Capstone is actually testing
The Capstone is not a test of memorized `kubectl` syntax. It's a 90-minute operational
assessment weighted heavily toward RootNode's own Real Ops incident scenarios — it's checking
whether you can DO the thing ROOT_ has been building toward: diagnose and repair real,
under-specified problems using the frameworks and skills from every course before it, under a
clock, without step-by-step guidance.
If you've completed ROOT 05 through ROOT 12 honestly (not just clicked through), the Capstone is
testing exactly what you've already practiced — just without a lesson telling you which concept
is about to be tested.
## How the scenario draw works
The Capstone draws a mix of:
- **Required scenarios** — every attempt includes RootNode's own Real Ops incidents (the same
scenarios from ROOT 12, though a fresh attempt against them, not literally the same completed
attempt carried over).
- **Randomly drawn scenarios** — a smaller number of additional scenarios, randomly selected
from broader pools spanning workloads, configuration, and troubleshooting.
This means two students taking the Capstone will very likely see a different exact mix of
random scenarios, while both always face the same core Real Ops incidents. The exact scenario
IDs and the random draw itself are never published in advance — see the next lesson for why
that's intentional, not withheld information.
## What "unlocked" actually means
The Capstone doesn't unlock just because you decided you're ready — it unlocks when the
platform confirms, server-side, that you've genuinely completed every prerequisite stage
(Foundation, Workloads, Networking, Configuration, Troubleshooting, and Real Ops). This isn't a
UI suggestion you can bypass; it's enforced the same way everywhere you'd try to start it. If
you see a "locked" message, the platform is telling you something true about your actual
progress, not gatekeeping arbitrarily.
## What completion means
Passing the Capstone requires resolving every scenario in your specific draw — this is recorded
as a real, permanent achievement (`capstone_completed`) tied to your account, the same
achievement mechanism that recorded every stage completion before it. It's the platform's own
confirmation that you can operate a Kubernetes environment under exam conditions, not just that
you clicked through a curriculum.
## Instructor Notes
**Lesson goal:** Set accurate expectations before a student attempts the real assessment —
reduce anxiety from not knowing "what kind of thing" the Capstone tests, without revealing any
specific content.
**Approximate timing:** 10 minutes read; 8-10 minutes live.
**Preparation:** None beyond having completed ROOT 12 yourself if teaching this live, so you can
speak concretely about the Real Ops incidents' style without naming specifics from the current
draw pool.
**Likely misconceptions to watch for:**
- Students sometimes think "random draw" means the Capstone is inconsistent/unfair between
attempts. Clarify: the REQUIRED Real Ops scenarios are constant across every attempt; only a
smaller supplementary set is randomized.
- "It's locked, so something's broken" — reinforce that a locked Capstone is the platform
correctly reporting incomplete prerequisites, not a bug.
**Questions to ask students:** "Which ROOT_ course do you feel least confident about right now?
What would you do about that before attempting the Capstone?" — a good self-assessment prompt
that ties directly into the next lesson's time-management content.
**Expected takeaway:** The Capstone measures real operational capability built across the whole
ROOT_ sequence — approaching it as "one more scenario to guess your way through" misses the
point of everything that led up to it.
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# Time Management & Troubleshooting Strategy Under a Clock
## 90 minutes, several scenarios — budget before you start
Once the Capstone begins, the clock is running against the whole attempt, not per scenario.
Spending 60 of your 90 minutes perfectly solving one incident, then rushing (or failing to
attempt) the remaining ones, is a worse outcome than solving most scenarios well within a
reasonable time each. Before diving into the first incident, take 60 seconds to look at how many
scenarios you're facing and roughly divide your available time — treat that budget as a real
constraint, not a suggestion.
## Apply the frameworks you already have — don't invent a new approach under pressure
You've already practiced two frameworks across ROOT_:
- **Observe → Gather Evidence → Form Hypothesis → Test → Repair → Validate → Prevent Recurrence**
(ROOT 10) for the mechanics of diagnosing a specific technical failure.
- **Detect → Triage → Diagnose → Mitigate → Recover → Verify → Learn** (ROOT 12) for the
broader "you own this incident" framing.
Under time pressure, the temptation is to abandon structure and start guessing. Resist it — the
frameworks exist precisely because they're FASTER than guessing once you've internalized them,
not slower. Reach for the same habits: read `kubectl describe`/Events before assuming, state
what you think is wrong before changing anything, verify after you fix.
## When to move on
If you're genuinely stuck on one scenario well past its budgeted time with no new evidence
emerging, it is a legitimate strategic choice to move to a different scenario and return later
if time allows — partial credit on more scenarios can beat a perfect score on fewer. This isn't
giving up; it's the same triage instinct from the incident-response framework, applied to your
own time as a resource.
## What's genuinely allowed
Everything you've used throughout ROOT_ Labs remains available: `kubectl` and its full command
set, the Lab's own in-context hints (if the specific scenario offers them), and your own notes
from earlier modules. There is no expectation of memorizing anything you'd normally look up —
the Capstone tests operational judgment and diagnostic process, not recall of obscure flags.
## Instructor Notes
**Lesson goal:** Reduce a common source of avoidable Capstone underperformance — poor time
allocation — separately from technical skill gaps.
**Approximate timing:** 10 minutes read; 8 minutes live.
**Demonstration plan:** If teaching this live, consider a quick show-of-hands: "who has ever
spent way too long on one problem and run out of time for an easier one elsewhere?" — normalizes
the behavior this lesson is trying to prevent.
**Likely misconceptions to watch for:**
- Students sometimes think asking for more time or pausing mid-scenario is against the rules.
Clarify based on your actual classroom/platform policy rather than assuming — this varies by
delivery mode and isn't something this lesson should guess at.
**Questions to ask students:** "If you had to guess right now, which TYPE of scenario (not a
specific one) do you think would eat the most of your time, and why?" — surfaces self-awareness
about weak areas before the real attempt.
**When to let a student struggle vs. provide a hint:** This lesson itself needs no struggle —
it's orientation, not a challenge. Save "let them struggle" judgment for the actual Capstone
attempt.
**Expected takeaway:** Time management under the Capstone's clock is a skill you can prepare for
explicitly, separate from and in addition to the technical skills the rest of ROOT_ built.
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# Readiness Check: Are You Actually Ready?
This isn't a graded quiz — it's a genuine self-assessment before you attempt something you can't
easily "retry with different answers memorized." Answer each honestly.
---
**1. Can you explain, without looking it up, the difference between a liveness probe and a
readiness probe, and diagnose which one is failing from `kubectl get pods` output alone?**
*If no:* revisit ROOT 10's gold-standard Health Probes module before attempting the Capstone —
this exact distinction shows up in Real Ops-style incidents.
---
**2. Given a Service with zero Endpoints, do you know the first two commands you'd run to find
out why, without being told which module this relates to?**
*If no:* revisit ROOT 07's Services & Service Discovery module.
---
**3. Can you apply the Observe → Evidence → Hypothesis → Test → Repair → Validate → Prevent
framework to an unfamiliar failure you've never specifically seen before, not just to the exact
examples from the lesson?**
*If no:* this is worth practicing deliberately — pick any Practice-tab scenario you haven't done
yet and narrate the framework out loud to yourself while solving it.
---
**4. Have you completed the Real Ops incidents in ROOT 12 for real — diagnosed and repaired
them yourself, not looked up the answer?**
*If no:* do this before attempting the Capstone. The required scenarios in every Capstone
attempt are drawn from exactly this style of incident.
---
**5. Do you have a rough time-budget plan for a 90-minute, multi-scenario attempt?**
*If no:* re-read the time-management lesson in this module before you begin.
## What to do if you answered "no" to more than one
That's genuinely useful information, not a failure — it tells you specifically where to spend
your remaining prep time. Go back to the relevant module, do the work for real, and come back
to this check again before attempting the Capstone.
## Instructor Notes
**Facilitation:** In a live classroom, this works well as private/individual reflection rather
than a group discussion — the value is honest self-assessment, not a public performance.
**Approximate timing:** 5-8 minutes.
**Expected takeaway:** Readiness is something a student can genuinely self-assess against
concrete, specific criteria — not a vague feeling of confidence.
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# Readiness Reflection: What Completion Means
Before you move toward the actual Capstone attempt, take a moment to reflect on the whole ROOT_
journey up to this point.
## Reflection questions
1. Think back to ROOT 05's opening lesson on desired state. How differently would you explain
that concept now, after everything since, compared to how you understood it the first time?
2. Which single module across ROOT_ changed how you approach a problem the most — not which was
most interesting, but which actually changed your behavior when something breaks?
3. What does passing the Capstone mean to you, beyond a completion record on the platform?
## What completion actually represents
A `capstone_completed` achievement isn't a certificate claiming you've memorized Kubernetes
trivia. It's the platform's record that you demonstrated, under real time pressure, without
step-by-step guidance, that you can diagnose and repair real operational problems using
frameworks you internalized rather than looked up in the moment. That's a materially different
and more durable skill than passing a multiple-choice exam about Kubernetes objects.
## When you're ready
There's no "perfect" moment where every module feels fully mastered — that's normal. If the
readiness check in the previous activity mostly came back "yes," and you've done the Real Ops
incidents for real, you're ready to attempt it. The Capstone will unlock automatically once the
platform confirms your prerequisite stages are genuinely complete — when you see it unlocked,
that's the platform's own confirmation, not just this module's.
This module is complete. Good luck.
## Instructor Notes
**Discussion questions for a live classroom:** question 2 tends to produce genuinely varied,
interesting answers across a cohort — worth having students share out loud if time allows.
**Approximate timing:** 8-10 minutes live discussion; 5 minutes self-paced writing.
**Preparation:** None — this is a closing/orientation activity, not a technical one.
**Expected takeaway:** Completing ROOT_'s Kubernetes sequence is a real, demonstrable skill
change, not just curriculum progress — the Capstone is where that becomes visible and provable.