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Advanced Infrastructure & Distributed Systems: Architectural Deep Dive into High-Performance Webhook Ingress

Webhooks started as simple fire-and-forget HTTP POST requests. They are now a backbone of event-driven architectures, and the major providers deliver them at very large volume. Stripe, for example, is reported to send billions of them. Stateless handlers that do real work inside the request tend to fail under spikes, slow downstream dependencies, oversized payloads, noisy tenants, and…

Webhooks evolved from simple fire-and-forget HTTP POST requests to a critical component of event-driven architectures. Major providers like Stripe now send billions of webhooks per day. Stateless handlers struggle under high traffic, long processes, and oversized payloads. A resilient webhook ingestion system requires more than a basic HTTP router.

To handle this, engineers should pair webhooks with durable execution engines. This mitigates the timeout problem, where providers expect rapid acknowledgments. A typical pattern involves signature verification, immediate acknowledgment, and handing off the work to a durable engine. Durables engines like Temporal, Inngest, and AWS Step Functions persist workflow state, allowing long-running processes to pause and resume.

The workflow starts with signature verification before dispatching to a durable engine. Idempotency can be derived from the provider’s event ID. Once the signature is verified, return a 2xx HTTP status without running the business logic inline. This way, retries remain safe and duplicate processing is avoided.

Compression plays a crucial role in high-volume webhook processing. Brotli, developed by Google, and Zstandard (zstd), created by Yann Collet at Facebook, are popular compression algorithms. While Brotli often achieves better compression ratios on text, zstd offers consistent speed and ratio across compression levels. Both can be beneficial for webhook traffic, as most providers send uncompressed JSON.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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