iPaaS, API orchestration, and integration architecture for ERP, e-commerce and CRM systems
7 articles
Full sync is simple but heavy; incremental sync is light but prone to data loss. This article systematically compares five change-capture methods — timestamps, auto-increment IDs, log-based CDC, triggers, and message subscriptions — by reliability, cost, and fit.
There are only four basic patterns for integrating an ERP with other systems. This article analyzes direct API calls, staging tables, message queues, and iPaaS — their mechanics, fit, and hidden costs — to guide architecture decisions.
Inconsistent master data — products, customers, suppliers — is the root cause of order errors, inventory errors, and reconciliation failures. This article presents a governance model, sync strategies, and conflict arbitration rules.
Field mapping is the heaviest and most error-prone part of integrating heterogeneous systems. This tutorial offers a systematic method — field inventory, type alignment, enum translation, and conflict resolution — plus a practical checklist.
Using the example of 'marketplace order → ERP outbound → shipping callback', this tutorial shows how to orchestrate APIs from three systems into one business pipeline with branching, retries, and idempotency controls.
A breakdown of the Qeasy data integration platform's layered architecture: the connector layer, flow assembly layer, scheduling runtime, and observability layer — and the full path of an integration flow from canvas to production.
iPaaS (Integration Platform as a Service) turns system integration from custom development into visual assembly. This article explains the core concepts, how iPaaS differs from ESB and point-to-point coding, and why it has become foundational enterprise infrastructure.
