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In a legacy Java mobile app, I implemented an offline-first observability pipeline that persists user-action logs locally using a DAO-backed queue and syncs them to an API only when the device is online. Logs survive restarts, are shipped in batches of 50 every 3 minutes to reduce network and battery impact, and work as a “user action stacktrace” to reconstruct flows leading to bugs. Combined with Sentry, this creates a powerful two-layer system: exceptions plus a step-by-step history of what the user did right before the issue.