Scale Stock Registries
Tracking millions of physical items in real-time across multiple warehouses requires high-throughput databases. We utilize composite keys and Redis write-back caching to manage concurrent barcode scans without overloading the primary relational database.
Handling Barcode Scan Streams
When warehouse workers use RF scanners, the system experiences bursts of thousands of API requests per minute. We buffer these requests using Redis Streams or RabbitMQ, parsing the payloads, and batch-inserting the inventory logs into PostgreSQL.
// Redis Stream Consumer Pattern
async function processScanQueue() {
const events = await redis.xread('BLOCK', 5000, 'STREAMS', 'barcode_scans', '$');
if (events) {
await db.inventory.bulkInsert(formatEvents(events));
}
}Automated Replenishment Triggers
Every inventory update runs through an evaluation engine. If the stock level dips below the 'reorder_point', the system automatically flags the item, generates a Draft Purchase Order, and alerts the procurement manager.