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Local persistence refers to storing application data on the client or device to enable offline use, caching, and performance optimization.
Local persistence describes practices for storing data persistently on the client or device (e.g., browsers, mobile devices, desktops). It covers storage types, consistency and synchronization strategies, as well as security and lifecycle decisions. Typical technologies range from localStorage through IndexedDB to SQLite.
Share of requests served from local cache rather than going to the server.
Time required to reconcile local changes with the server.
Number and severity of incidents with lost or corrupted local data.
Single-page app stores posts locally in IndexedDB and syncs on login.
Offline-first mobile app uses SQLite as a local cache for API data.
Lightweight desktop tool serializes user preferences into local JSON files.
Analyze use cases and choose appropriate storage technology
Define data model, migration strategy and backup concept
Implement local API abstraction and synchronization logic
Secure local data (encryption, access control)
Monitoring, testing offline scenarios and rollout