Latest industry insights, tutorials, best practices and case studies.
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.
The worst failure mode of an integration system is silent breakage — orders stopped syncing for three hours and nobody noticed. This article lays out a three-layer metric system (pipeline health, data quality, business outcomes) plus actionable alert levels and noise reduction.
However good your real-time sync is, platform-side edits, lost messages and human errors cause long-term drift. Real reliability comes from a three-layer system: real-time sync + scheduled reconciliation + automated compensation. This article provides a deployable design.
Based on the Qeasy intelligent reconciliation platform running in production at a large-scale e-commerce company, this case study breaks down how the AI agent matrix — bill parsing, reconciliation scripting, expense allocation plus a general assistant — compresses monthly reconciliation from days to hours at the 100k-document scale.
First-time ERP onboarding usually means syncing years of historical orders and hundreds of thousands of SKUs. A single-shot pull will always time out. This article compares offset, cursor and time-window pagination, and lays out a resumable, re-runnable checkpoint design.
A teardown of Qeasy's production agent setup for replenishment: the general assistant, fetch script engineer and compute script engineer working across a four-layer pipeline, with sandboxed scripts, BullMQ queues and human confirmation before writes.
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.
