Ops Signal Studio

Eight weeks of application analytics for microcloud operations health — from first signal map to a review ritual your team will actually keep.

Learners collaborating around a tablet with charts

What you will practice

  • Build a service-level signal map for one production application
  • Separate cosmetic green from operationally meaningful green
  • Write baselines that account for Korea business-hour traffic and weekend quiet
  • Facilitate a thirty-minute weekly health review without status theater
  • Document limitations so on-call successors inherit honesty, not folklore

Modules

Each week pairs a short live studio with async labs you can run against a sandbox or your own staging stack.

Week 1 · Signal inventory

Catalog latency, traffic, errors, and saturation for one bounded service — including what you are not measuring yet.

Week 2 · Baseline honesty

Construct baselines that survive deploys, cache warmers, and promotional traffic without rewriting history.

Week 3 · Sampling & shape

See how aggregation windows flatten incidents and when percentile choices flatter the dashboard.

Week 4 · Error narratives

Turn error rates into partner-ready stories with clear ownership and recovery hints.

Week 5 · Saturation sketches

Draw queue and connection pressure before customers feel pauses.

Week 6 · Review rituals

Design a weekly ops health review that fits a microcloud team of three to twelve people.

Week 7 · Limitation notes

Publish the known blind spots: cold starts, multi-tenant noise, and third-party dependencies.

Week 8 · Studio showcase

Present your signal map and receive structured critique from instructors and peers.

Portrait of instructor Soo-yeon Park

Instructor

Soo-yeon Park spent a decade on reliability teams for regional SaaS products before founding the Ops Signal Studio curriculum. She teaches from Gumi with guest critiques from Seoul-based platform leads.

Informational pricing

No checkout on this site — figures help you plan. Enrollment happens through our team.

Individual seat

₩890,000 / cohort

  • Live studios + recordings
  • Async lab feedback
  • Private community channel

FAQ

Do I need Prometheus or a specific vendor?

No. Labs accept exports from common stacks. We focus on interpretation habits that transfer when tools change.

Is this suitable for brand-new engineers?

You should already ship or support at least one production service. Absolute beginners may feel lost in week three when we discuss sampling bias.

What is a real limitation of this course?

We do not deep-dive multi-region failover analytics or Kubernetes autoscaler internals. Those deserve dedicated workshops; treating them lightly would create false confidence.

How are sessions timed for Korea?

Live studios run early evening KST. Recordings post within 24 hours for teammates abroad.

Learner notes

“Week 6’s review ritual replaced our noisy Slack dump. The template still sits at the top of our ops channel.”

— Yuna M., SRE · Seoul

★★★★☆

Solid on baselines. The showcase feedback was blunt in a useful way; I rewrote two panels before presenting to leadership.