Production-first guidance for engineers who run CouchDB at the edge. Build replication pipelines that survive flaky networks, resolve conflicts deterministically, and keep offline-first data consistent — from constrained IoT sensors to globally distributed mobile fleets.
This site prioritizes reliability over theory: actionable automation with
Python scripts, declarative _replicator configurations, and CI/CD-friendly
consistency gates. You’ll find clear conflict-resolution patterns, revision-tree management,
and real-world sync topologies tailored to edge/IoT deployments and mobile backends.
Start with the foundations of CouchDB’s MVCC revision model, move into configuring and monitoring replication pipelines, then master the algorithms and rule engines that reconcile divergent writes without losing data.
Three pillars, each a deep, interlinked set of pages covering architecture, configuration, and resolution strategy.
How CouchDB’s MVCC revision trees, the _changes feed, and replication topologies work — the foundations behind every conflict and every sync decision.
Declarative _replicator documents, continuous vs one-way sync, retry/backoff logic, and async monitoring with webhooks for resilient Python pipelines.
Choosing merge algorithms, building auto-merge rule engines, manual review queues, and fallback resolution chains that keep distributed data consistent.