Case study
Webhook Pipeline for Multi-Tenant Commerce Sync
Multi-tenant platform ingesting commerce events from 10+ external platforms. Polling created 4+ minute lag.
Architecture diagram
Webhook-driven commerce event pipeline
Per-platform adapters normalize commerce webhooks into tenant-safe, replayable, near-real-time processing.
Commerce platforms
10+ upstream event sources
Webhook events
Webhook adapters
Signature validation and normalization
Normalized payload
SQS + DLQ
Backoff, replay, failure isolation
At-least-once delivery
Idempotency layer
UUID keys and duplicate protection
Safe event
Tenant processors
Ordering and throttling per tenant
Ordered updates
Fresh commerce state
Sub-10s data freshness
- Polling waste was removed instead of simply increasing polling frequency.
- DLQ and replay made platform outages recoverable instead of silent data loss.
- Tenant-level throttling kept noisy tenants from affecting shared reliability.
The challenge
Multi-tenant platform ingesting commerce events from 10+ external platforms. Polling-based sync created 4+ minute lag while the system required sub-10s freshness. Lambda costs rising due to inefficient polling.
Architecture approach
- ·Webhook ingestion layer with per-platform adapters and signature validation
- ·DLQ + replay queue with exponential backoff
- ·UUID-based idempotency at ingestion and processing
- ·Per-tenant ordering via partition keys
- ·Dynamic throttling with tenant-level rate limits
- ·Per-tenant metrics, latency percentiles, failure rate dashboards
Tech stack
Results
- Data freshness: 4+ minutes → sub-10 seconds
- Lambda costs dropped ~15%
- Zero data loss during platform outages