Shopify Webhook Retries & ERPNext Integration Idempotency (Why Duplicates Break Data)
Автор: Karani Geoffrey
Загружено: 2026-01-22
Просмотров: 27
Описание:
Shopify retries webhooks.
Background queues retry jobs.
Networks fail.
All of this is normal behavior.
If an integration between ERPNext and Shopify cannot safely process the same event more than once, it is not production-ready.
This is where idempotency becomes critical.
Idempotency means that processing the same event multiple times must always produce the same result - without duplicating data, corrupting records, or breaking stock and accounting.
In this video, I explain:
🔁 Why Shopify webhooks are retried
📦 How duplicate events silently corrupt ERPNext data
🧠 What idempotency really means in ERP integrations
🏗️ Why “create-only” logic fails in production
⚠️ How non-idempotent integrations break under real traffic
This video is part of a deep technical series on building production-grade ERPNext Shopify integrations, based on real-world system behavior - not ideal conditions.
If you are:
🛒 Integrating Shopify with ERPNext using webhooks
🧩 Building or maintaining a custom ERPNext Shopify integration
📉 Seeing duplicate customers, items, or stock entries
this video explains why it happens and how to design retry-safe integrations correctly.
🔗 About Upeosoft
Upeosoft Limited is a software engineering company specializing in ERPNext implementations, integrations, and reliability engineering for mission-critical business systems.
🌐 Website: https://www.upeosoft.com
📧 Email: [email protected]
📞 Phone: +254 725 307 131
🎓 Learn ERPNext & Integration Engineering
For ERPNext tutorials, deep technical content, and real-world integration engineering:
🌐 Code with Karani: https://codewithkarani.com
🎓 Upeo Academy: https://upeo.academy
📌 ERPNext Shopify Integration Engineering Series
This series covers:
🔄 Sync loop prevention (echo control)
⚖️ Data conflict resolution & authority rules
🔁 Webhook idempotency & retry safety
📦 Inventory architecture & stock integrity
🧾 Order, payment & fulfillment mapping
🔐 Permissions, background jobs & observability
Subscribe to follow the full series and future deep dives.
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