In change data capture, consistency is paramount. A single missing or duplicate message can cascade into time-consuming bugs and erode trust in your entire system. The moment you find a record missing in the destination, you have to wonder: is this the only one? How many others are there? Sequin| Sequin blog
We're building Sequin, a Postgres CDC tool to streams and queues like Kafka, SQS, HTTP endpoints, and more. Efficient, correct pagination is paramount for our backfill process, so we use keyset cursors extensively. You've probably heard about the limitations of offset/limit in Postgres. There are two primary concerns with| Sequin blog
Debunking the myth of "exactly-once delivery." Learn the real differences between messaging system guarantees and what they mean for your architecture.| Sequin blog
Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong.| Debezium