The Staff Engineer curriculum.Built for the age of AI.
17 weeks of structured depth — Linux internals, Kubernetes, AWS, system design under pressure, and 500+ Staff-level interview Q&As. The knowledge that makes you irreplaceable when AI can do everything else.
7-day free trial · then from S$15 one-time · cancel anytime
your destination
AI will keep evolving. Most engineers are not prepared.
After years at big tech, watching hundreds of engineers — the ones at risk aren't the least talented. They're the most surface-level.
Surface learning is the first thing replaced
Courses, certifications, tutorials — AI now generates all of it on demand. If your knowledge lives at the surface, you are competing with a model that never sleeps. Depth is the only moat.
Execution without judgment
AI executes fast. What it cannot do is own a system — see the failure modes before they happen, reason about trade-offs with no right answer, and make the call when everything is on fire. That is a human skill, and it is learnable.
No one teaches systems thinking
There is no course on how to decompose hard problems, compose your thinking clearly, and reason at a systems level. That invisible skill is what separates the engineer AI works for from the engineer AI replaces.
Real results. Real engineers.
Not marketing copy — specific moments where the depth paid off in production or in interviews.
Working with microservices across AWS at FedEx, I needed production-grade thinking, not just tutorials. The AWS deep dives and Kubernetes reliability sections cover exactly the failure modes I face weekly. Forwarded the HPA misconfiguration scenario to my whole team — they'd all seen it but never understood the root cause.
As a PM working closely with SRE teams at NCR Voyix, I was drowning in jargon I half-understood. Three weeks into Hone and I can lead post-mortems properly, understand what my engineers are escalating, and ask the right questions during incidents. My team noticed the difference before I even mentioned I was studying.
I assembled this curriculum the hard way — hundreds of hours across blog posts, books, and incident retrospectives. The structured path through Linux internals, Kubernetes, AWS, and observability is exactly what clicked for me when it mattered most. Every production scenario in here is something I've actually seen.
Why we built this
“Everything you need to reach Staff-level SRE exists on the internet. The problem is it takes hundreds of hours to find, filter, and connect the dots.”
Hone was built by engineers who went through that process the hard way — assembling a curriculum from blog posts, O'Reilly chapters, incident retrospectives, and late-night debugging sessions. The preparation that eventually landed Staff roles at top-tier companies.
What was missing wasn't information. It was structure, sequence, and depth— a single path that takes you from fundamentals to the exact scenarios you'll face in a Staff SRE interview or a 3 AM production incident.
Hone is that path. 122 days. Every lesson battle-tested. Every production scenario something we've seen in the real world.
122
Structured lessons
6
Core SRE modules
500+
Interview Q&As
Build what AI cannot replace.
17 weeks. 10 modules. One coherent arc — from Linux internals to AI infrastructure. Not what to know. How to think.
Day-aware dashboard
Open it, know what's next. Zero decision fatigue — whether you're on day 3 or day 73, the path is clear.
Context-aware AI (Claude)
Ask mid-lesson. Claude knows your exact topic, your current module, and your level. Depth answers, not surface summaries. An AI that teaches you to think — not think for you.
System-deep content
Every lesson goes concept → real failure scenario → hands-on lab → Staff interview Q&A. Not how it works. Why it breaks, who owns it, and what you decide when it does.
Ready-to-ship templates
Terraform modules, K8s manifests, runbooks, GitHub Actions workflows — production patterns from engineers who've shipped at scale.
Progress that means something
Streaks, completion %, module readiness scores. Know when you're interview-ready, not just 'done studying'.
500+ Staff-level questions
Not trivia. Architecture trade-offs, failure modes, design under load. The questions that reveal whether you think — or just know.
Inside Hone
Every screen, every feature — built so you know exactly where you stand and what to do next.
ALERT: p99 latency > 8s on /api/checkout (SLO breach)
$ kubectl top pods -n payments | sort -k3 -rn
checkout-6d9f8b-xkp2r 2/2 Running 1420m 3890Mi
# OOMKilled 3× in last 10min — heap exhaustion
$ kubectl logs checkout-6d9f8b-xkp2r | grep -i "heap\|gc"
WARN: Old Gen 94% full — GC pausing for 6.2s
Design a multi-region active-active Kubernetes setup.
How do you calculate and enforce error budgets?
Walk me through a zero-downtime Terraform migration.
10 Modules. The full cloud-native stack.
Linux internals → AWS → Terraform → Kubernetes → Observability → CI/CD → GitOps → Python → AI/MLOps → SRE. One arc. Built to make you the engineer AI works for.
Linux & Networking
AWS Advanced
Terraform Advanced
Docker + Kubernetes
Observability Full-Stack
CI/CD + DevSecOps
GitOps
Python Mastery
AI Platform + MLOps
SRE + System Design + Mocks
Try free for 7 days.
7-day free trial · then one payment forever
- ✓17-week structured plan (Staff/Principal depth)
- ✓Day-aware learning dashboard — always know what's next
- ✓AI assistant powered by Claude (lesson-context aware)
- ✓Curated resource library per lesson
- ✓Production-grade templates (Terraform, K8s, runbooks)
- ✓Interview Q&A bank — 500+ Staff-level questions
- ✓Progress tracking, streaks, readiness scores
- ✓All future content updates
Card required · Cancel free trial anytime · Regional pricing applied at checkout
Pay in ₹ — Lemon Squeezy auto-converts at checkout. Cards, UPI, and net banking accepted.
Team / Company access
Onboarding a team of SREs? Get 5 lifetime seats for S$199 — that's S$40/person. Includes everything in the individual plan, centralised billing, and priority support.