Featured case study
99.997% Success
High-Reliability Route & Stop Ingestion
Schema-validated, event-driven ingestion processing millions of partner files.
A national retail partner publishes route and stop data as a continuous stream of JSON files. I owned the integration that consumes it: a schema-validated, event-driven pipeline that turns each file into transactional route records and acknowledges it back to the partner, without a nightly batch window and without a queue that a single malformed file can stall.
- 3.15M
- JSON files ingested per year at the measured run rate
- 99.997%
- Ingestion success across the measured window
- 7.35M
- Messaging responses per year at the same run rate
- Validation at the edge. Files are checked against their schema before anything downstream sees them, so a bad payload is rejected at one known place rather than surfacing as a partial write three services later.
- Failure is a path, not a halt. Rejects divert to a dead-letter lane with replay, which is what holds the success rate: the pipeline keeps draining while a handful of files wait for a human.
- Throughput follows depth, not a clock. Queued processors scale on backlog instead of a schedule, so a partner-side burst costs latency rather than dropped files.
