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Webhooks cause traffic spikes. If you process data and save it to a database inside your API route, you create problems.
A sudden flood of webhooks will block your Node.js event loop. Your API will time out. The vendor will think your server failed. You will lose data.
You must separate the HTTP response from the data processing. Use the Catch and Release pattern with Node.js, Express, and BullMQ.
The Wrong Way:
- Receive webhook.
- Transform data.
- Save to database.
- Send 200 OK.
If 500 webhooks arrive in one second, your database connection pool will crash. Your server will run out of memory.
The Right Way:
- Receive webhook.
- Push raw data to a Redis queue.
- Send 202 Accepted immediately.
This method acknowledges receipt before you do heavy work.
How to implement this:
- Install BullMQ and Redis.
- Set up a Queue in your code.
- Update your Express route to add jobs to the queue instead of processing them.
Code for the fast route: app.post('/webhook/inventory', async (req, res) => { try { await webhookQueue.add('process-inventory', req.body); return res.status(202).send('Accepted'); } catch (error) { return res.status(500).send('Error'); } });
- Create a Worker to process the queue.
The Worker runs on a separate thread. It pulls jobs from Redis and saves them to your database at a steady pace. If the database is busy, BullMQ retries the job automatically.
Why this works:
- Express acts as a fast catcher.
- Redis acts as a shock absorber.
- The Worker acts as the engine.
This architecture prevents data loss. It protects your database. It keeps your API fast even during massive traffic spikes.