You know that sinking feeling when you realize your webhook just dropped an event? The silent data loss that nobody notices until a customer complains three weeks later?
I’ve been there. In the middle of the night, debugging a retry queue that’s grown to 10,000 entries, slapping on exponential backoff like a bandage on a bullet wound. And the worst part? We all know webhooks are a broken abstraction for data replication, but we keep using them because they’re simple.
Let me tell you why that simplicity is a trap.
Webhooks are stateless. They fire and forget. If your server is down, the event is lost. You build retry logic. You build reconciliation jobs. You build a whole shadow system just to make sure the data eventually arrives. And all of that complexity? It’s not a feature — it’s you compensating for a fundamental design flaw.
Every time you write retry logic for a webhook, you’re admitting the abstraction is broken.
Here’s the alternative that the industry keeps ignoring: open an HTTPS stream to a collection. Each new line is a new object event with a cursor. Your server was down? Simply re-subscribe from the last cursor you saved. No retries. No reconciliation. No silent data loss.
I saw this firsthand at a startup that was processing millions of events per day. Their webhook infrastructure was a nightmare. Engineers spent weeks building a state machine to handle failures. Then they switched to a cursor-based streaming model. The retry logic vanished. The engineers were freed to build actual features.
This isn’t a new idea. It’s how Kafka works. It’s how databases replicate. It’s how any sane system guarantees delivery. The cursor is the difference between hoping your data is correct and knowing it is.
Yet when I talk to teams building modern APIs, they still default to webhooks. Why? Because they’re “simple.” But simple on day one means complex on day 100. The initial setup takes five minutes. The ongoing maintenance takes forever.
Let me be blunt: if you’re replicating data over webhooks, you are building your infrastructure on quicksand.
Here’s what you should do instead. Design your system so that every event includes a cursor. Store that cursor. When your consumer comes back online, it resumes from that cursor. No more “at-least-once” delivery headaches. No more deduplication logic. No more midnight alarms.
Webhooks are fine for notifications. They are a disaster for data replication.
Stop treating them as the same thing. Your future self — and your customers — will thank you.
FAQ
Q: Isn't webhooks the industry standard for real-time data delivery?
A: Yes, for notifications. But for data replication where you need guaranteed delivery, webhooks' stateless nature makes them unreliable. Cursor-based streaming is the proven standard for databases and message queues.
Q: What's the practical implication of switching to cursor-based streaming?
A: You eliminate retry logic, reconciliation jobs, and most midnight alarms. Your team ships features instead of fixing data loss. The initial setup is slightly more complex, but the long-term maintenance drops to near zero.
Q: Isn't this just reinventing Kafka or a message queue? Why not just use those?
A: You can. But for many teams, adding a full message queue is overkill. A simple HTTPS stream with cursors gives you the same reliability without the operational overhead. The key insight is the cursor, not the transport.