I build resilient
cloud systems.

Designed around the workout. The interface prioritizes quick input on a phone while keeping deeper analysis available when reviewing progress later.

Data with context. Session metrics, total volume, steps, and time-range controls make individual workouts meaningful within weekly and monthly patterns.

Built to evolve. CSV and health-data imports keep historical information portable, while the presentation layer can gain new metrics without rewriting the underlying records.

Monitoring is a system, not a screen. Useful observability starts with service ownership and meaningful signals—not with collecting every available metric.

Operational learning. Incidents and capacity constraints become inputs for better thresholds, dashboards, runbooks, and architecture decisions.

From servers to cloud. The tools changed over time, but the principle remained: detect deterioration early, make impact understandable, and give responders enough context to act.