How do you design scalable webhook systems for high event volumes?

[mithun50]

🏷️ Discussion Type

Question

💬 Feature/Topic Area

API

Body

Hi everyone 👋

Following up on the discussion around GitHub APIs and webhooks, I’m curious about how people handle scaling webhook systems in real-world applications.

When dealing with a large number of events (hundreds or thousands per minute):

How do you design your webhook architecture to stay reliable and responsive?
Do you use queues, event streams, or background workers? If so, what tools or patterns worked best?
How do you handle retries, failures, and dead-letter scenarios?
What strategies do you use to prevent duplicate processing or handle out-of-order events?
Any tips for monitoring, logging, or debugging webhook pipelines at scale?

I’ve noticed that simple synchronous setups break down pretty quickly under load, so I’d love to hear how others have approached this in production systems.

Looking forward to your insights 🚀

🏷️ Suggested Tags
webhooks
scaling
system-design
github-api
backend

[Manvanth-Gowda-M]

I’ve dealt with scaling webhook systems for a project that processed a high volume of GitHub events (PRs, pushes, issues), and the biggest lesson was: never process webhooks synchronously.