Seoul · remote-friendly

37 cohorts facilitated since 2019
18h median mentor reply during labs
99.2% target lab control plane availability

Failover Forge runs tight cohorts for engineers who want production-shaped practice, not slide-only theory. We rotate incident bridges, observability critiques, and Kubernetes rehearsals so your portfolio reads like operations reality.

Signals from recent cohorts

The Incident Response Ops Lab forced me to keep a decision log while rotating incident commander — something my previous employer never rehearsed. I still reuse the bridge checklist before major deploys. The pacing was dense, yet each simulation had a clear debrief template so notes did not sprawl. I would have liked one more office hour on async queues, but the Slack critique channel compensated. Seoul evening timing made it workable with APAC teams.

Jiwon · Busan

Observability Signal Design Studio — ★★★★★ verified cohort survey. The exemplar lab finally made tail sampling feel like a design choice instead of a mystery toggle.

Noah Kim · verified learner

Platform-style

Client in logistics tech: the tracing journeys module gave our support partners language they understood without opening four dashboards.

Anonymous reliability engineer

Client in enterprise markets: post-incident writing sprint tightened our stakeholder sign-off loop without turning docs into novels.

Anonymous senior engineer

Kubernetes Field Manual week five broke my kubelet blind spots — worth the sleep debt.

Short note

Elena Marquez, Enterprise Partnerships Manager, paired me with a mock panel that questioned every assumption in my chaos plan — brutal, precise, and oddly kind. The portfolio intensive is not a passive archive; you revise twice based on written notes. I kept the second revision private for interviews and it sparked better follow-up questions than any rehearsed STAR story.

Elena Marquez · Failover Forge

On-call craft weekend ★★★★☆ — handoff ritual alone changed how our weekend rotation sounds on voice bridges.

Mira · verified learner

Reliability bootcamps built like a production bridge

  • Live outage simulations with rotating incident commander duties
  • Signal design critiques that trim noisy telemetry before it lands in dashboards
  • Weekly reliability briefings translating vendor changes into operator checklists
Schedule a call
  1. Week 0 environment checks
  2. Weeks 1–n paired labs + written feedback
  3. Final narrative review for interviews
Operators discussing reliability notes around a table

Plan fit helper

Answer two prompts — we suggest a learning lane in plain language.

Essentials gives a disciplined baseline; add the on-call craft sprint if your rotation starts within two months.

You may exit within the published refund window without hidden penalties.

Lab access ends on the stated date; extensions are optional add-ons.

Mentor feedback is descriptive, not a scoreboard ranking.

Tooling we reference in labs

OpenTelemetry collectors · Grafana-style panels · Prometheus-style scrapes · Kubernetes · Git-based change records

Signal pathPractice focus
Trace + logCorrelation without duplicate storage
MetricsCardinality budgeting conversations
Deploy hooksRollback rehearsal choreography

Guided walkthrough

  • Live incident board
  • Sample observability workspace
  • Cohort rhythm calendar

Ask for a slot

Use the contact page to send email, project size, and preferred week.

Open contact form

Discovery call outline

On the call we map your current on-call rotation, which bootcamp matches your skill gaps, and how mentor reviews align with your hiring timeline. You leave with a written recap, not a vague promise to circle back.

Quick clarifications

Do you run payments on this site?
No. Tuition is coordinated through invoices or partner portals after we confirm fit.
Are recordings kept forever?
No. Live session archives expire within sixty days unless a cohort agreement states otherwise.
Is every drill mandatory?
Most are; one optional recovery day exists for travel clashes, but skipping more than two live labs breaks the refund conditions.