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Physical AI will be decided by what a machine can show about the data behind its actions. Steffan Schumacher on why the data layer is a chain of custody for machine decisions, and why it is a property of the whole system rather than any component.
Both A/B partitioning and snapshot-based updating can roll back a failed OTA update. They reserve very different amounts of flash to do it, and the gap grows with the image.
By Eva Rio
Industrial controllers may restart after a power interruption but return with missing, stale, or inconsistent data. This article explains the storage, database, filesystem, and power-related causes of industrial controller data loss and what teams should test to improve recovery.
By Eva Rio
An industrial embedded file system must provide more than basic file access. This guide explains how to define measurable requirements for uptime, known-good recovery, data consistency, resource use, integration, and flash-storage longevity.
By Ashok Galla
Choosing a medical device embedded file system requires more than comparing APIs or benchmark speed. This checklist explains how to evaluate recovery, atomicity, durability, raw versus managed flash, performance, lifecycle behavior, integration, diagnostics, and long-term support on the target device.
By Ashok Galla
Commercial medical device storage software can reduce the burden of specialized storage engineering, field diagnostics, migration, validation preparation, and long-term maintenance. This guide explains how to evaluate that build-versus-buy decision without treating commercial software as a substitute for system engineering or device-level validation.
By Ashok Galla
Medical device data integrity can fail even when storage remains accessible and a file system mounts cleanly. This guide explains how buffering, transaction design, file systems, databases, flash behavior, power interruption, and lifecycle aging can create stale, incomplete, or inconsistent persistent state.
A fresh ECU can pass read, write, and reboot tests and still fail in the field. This guide covers what ECU storage reliability testing should include (power-loss recovery, aging, performance consistency, and update behavior), how to set measurable pass/fail criteria, and what evidence to ask for before production.
In software-defined vehicles, zonal architecture storage requirements are requirements for predictable behavior under stress rather than peak speed. What changes when storage becomes a shared resource, the requirements that matter most, and the validation evidence to ask for before you trust storage in an SDV.
OTA updates rewrite critical vehicle state under real-world stress. Learn the storage failure modes that brick units, and a power-cut validation plan to catch them early.
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