Chronos

Chronos was backend infrastructure for scheduled jobs, async processing, and long-running data tasks.

It handled background work such as metrics processing, watchdog jobs, tournament-related tasks, and recurring data pipelines.

My role

I worked on backend systems where reliability mattered more than shiny UI.

The interesting parts were mostly in the places users never see:

• queue design
• worker concurrency
• job timeouts
• long-running tasks
• memory pressure
• retry behavior
• scheduled processing
• operational debugging

Technical shape

The system used a Node/NestJS backend with Redis-backed queues and workers.

Some jobs processed large datasets and could run long enough to expose practical problems around memory usage, blocking work, lock duration, and queue behavior.

What I learned

Async systems are easy to start and annoying to keep healthy.

The hard parts are rarely the first implementation. The hard parts are making jobs observable, bounded, resumable, and boring under pressure.

Notes

This is a sanitized work case study. Private company details, code, and domain-specific internals are intentionally omitted.