Observability
Observability Signal Design Studio
Build metric, trace, and log contracts that stay readable when services fan out across Kubernetes namespaces.
₩1,240,000 reference tuition
Program narrative
You instrument sample services, compare noisy versus meaningful signals, and learn how to keep cardinality under control. Labs include tail sampling strategies, exemplar wiring, and turning raw spans into operator-friendly dashboards without numeric overload on every panel.
What is included
- Naming conventions for metrics that survive reorgs
- Trace exemplars tied to user journeys, not vanity dashboards
- Log structure reviews with JSON schema linting
- Cardinality budgeting exercises with real ingestion limits
- SLO drafting workshops with error-budget burn drills
- Notebook of Grafana panels that avoid chart clutter
- Partner integrations for common exporters explained plainly
Outcomes
- Ship a signal catalog your team can adopt without arguments
- Tune sampling so traces stay useful during spikes
- Explain observability choices to product partners without jargon walls
FAQ
We standardize on OpenTelemetry-friendly collectors plus Grafana-style dashboards. Vendor-specific modules are optional reading.
Participant notes
★★★★☆ — Loved the exemplar lab; wish we had one more week on log sampling tradeoffs.
The cardinality budget exercise finally made finance-adjacent conversations about cost legible to me.
Client in enterprise markets — dashboards stopped being wallpaper after the critique sessions.