video1.0<iframe src="https://www.loom.com/embed/0aa2652adedb4315ab12c244be16f515" frameborder="0" width="1662" height="1246" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12461662Loomhttps://www.loom.com12461662https://cdn.loom.com/sessions/thumbnails/0aa2652adedb4315ab12c244be16f515-d2c0650fd86157a0.gif604.032This Loom presents the architecture for a Hyperliquid settlement pipeline that ingests live trade data, batches it, and submits batches to a mock chain with dead-letter handling for failures. It describes four services: FeedAdapter (WebSocket to Trades), Ingestor (normalize and validate), BatchPublisher (flush by size of 50 trades or time), and Chain submitter (submit batch data). The system uses Kafka via Redpanda, at-least-once delivery with mockchain deduplication via shared objects and batch and readup IDs, plus exponential backoff for WebSocket reconnects. It includes demos showing successful chain submissions, a dead-letter queue test by forcing a chain failure rate of 1, and an end-to-end test verifying processed trade counts match input after duplication checks to avoid data loss.