Flagship · 6 weeks

Signal Trace Studio

A guided path from raw plugin events to application analytics your teammates can read without a decoder ring.

Live labs English instruction Informational price from ₩890,000
Engineering workspace with code and soft ambient light

What you will leave with

  • A named span taxonomy for ingest, transform, and fan-out stages
  • Latency heatmaps tied to plugin hook families
  • An error-budget sketch you can defend in a release review
  • A one-page Observability Atlas for your team wiki

Honest limitation

This studio does not certify proprietary vendor consoles. We stay tool-agnostic on purpose; you adapt queries to whatever stack your company already runs.

Modules

  1. Week 1 — Pipeline anatomy Map plugin stages, failure modes, and the difference between product metrics and pipeline health.
  2. Week 2 — Span literacy Write consistent span names, attributes, and baggage that survive multi-plugin hops.
  3. Week 3 — Latency heatmaps Build and interpret heatmaps that reveal retry storms and cold-start tails.
  4. Week 4 — Budgets & hooks Connect deploy hooks to error budgets without drowning Slack.
  5. Week 5 — Incident calm Practice annotated triage using baselines instead of gut feel.
  6. Week 6 — Atlas publish Package your Observability Atlas and present it to a peer cohort.

Instructor

Portrait of instructor Hana Park

Hana Park

Former plugin platform lead who now teaches application analytics from Inje-gun. Hana focuses on readable signals and refusal of vanity dashboards.

Learner notes

★★★★★
“Week 3’s heatmap drill exposed a double-publish path our logs had never labeled.”

Junseo · Busan

“Office hours ran long when my dataset was messy — still, the Atlas template is taped beside my monitor.”

Rina Alvarez · Integration lead

FAQ

Do I need OpenTelemetry experience?

Helpful but not required. Week 2 covers span literacy from first principles using our sample plugin pipeline.

Is there a certificate?

You receive a studio completion letter and your published Atlas. We do not sell third-party certifications.

What is a real limitation of this course?

Labs run on curated datasets. Extremely proprietary plugin runtimes may need extra translation work after the cohort ends — we coach that translation, but we cannot ship your private binaries into class.

Can my whole team join?

Yes. Pipeline Cohort and Observatory Desk tiers on the pricing page describe multi-seat options.