Flagship course
Usage Signal Lab
Six modules that move a live app from noisy request logs to a usage schema your product, finance, and support teams can defend.
Learning outcomes
- Define billable events distinct from raw HTTP calls
- Design dimensions that survive product renames
- Classify spikes into campaign, retry, and defect patterns
- Draft alert thresholds with explicit false-positive budgets
- Deliver a 10-minute usage brief a non-engineer can retell
Modules
- Traffic honesty audit — inventory meters, vanity charts, and arguments already in Slack.
- Event schema studio — name billable events and reject ambiguous labels.
- Dimension longevity — pick attributes that still make sense after a rebrand.
- Spike literacy — read staircases, needles, and plateaus without defaulting to “scale up.”
- Alert budgets — set thresholds with room for known noisy partners.
- Stakeholder briefing — rehearse a Monday narrative with critique from peers.
Instructor
Siriporn “Sip” Chaiwat
Sip spent a decade metering consumer and B2B APIs across Southeast Asia. She now designs Schema Dockpoint labs from the Nonthaburi office, with a soft spot for teams who inherit dashboards they did not invent.
Learner notes
The alert-budget worksheet stopped us from paging humans for every partner retry storm. We still cannot see encrypted hops outside our edge—Sip was clear that the lab will not invent that visibility.
★★★★☆
Dense but paced. I wanted more exporter deep-dives; the briefing rehearsal was the unexpected highlight.
FAQ
Do I need a specific observability vendor?
No. Exercises use CSV exports and generic time-series shapes so the lessons transfer across stacks.
Is this suitable for pure backend specialists?
Yes, if you can tolerate stakeholder storytelling. Module six is required—skipping it misses the point of the lab.
What is a real limitation of this course?
Usage Signal Lab does not teach you to meter traffic that never reaches systems you control. Client-only retries, offline queues, and partner networks without usage headers remain blind spots; we practice documenting them instead of pretending meters are complete.
How do refunds work?
See our Refund policy. Seats cancelled within the stated window follow that document.