nRF Cloud powered by Memfault brings embedded observability and device lifecycle management directly into Nordic-based designs, combining a tiny on-device firmware SDK with a cloud backend that aggregates core dumps, logs, metrics and traces from every node in the field. By integrating into nRF Connect SDK, Zephyr, bare metal MCUs, Linux and Android, developers get JTAG-level insight into production systems without physical access, enabling remote debugging, fleet health monitoring and controlled OTA firmware rollouts from the same web console https://memfault.com/
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In this interview from Embedded World North America 2025 in Anaheim, Victor explains how instrumenting devices with the Memfault SDK installs fault handlers that periodically upload captured core dumps and telemetry to nRF Cloud when connectivity is available. The footprint is only a few kilobytes, so it fits comfortably on Nordic nRF52, nRF53, nRF54 and nRF91 Series designs as well as other Zephyr-based or bare-metal systems. For low-power and intermittently connected devices, data is buffered and flushed later, so developers still get complete post-mortem context comparable to having the device on their lab.
On the nrfcloud.com dashboard, teams see active device counts, software version rollouts over time, trace volume and reboot reasons, making it easy to correlate new crashes or reboots with a specific firmware release. Memfault parses stack traces to deduplicate core dumps, grouping crashes by true root cause and counting how many devices and occurrences are affected across the fleet. Combined with device management and location services exposed in nRF Cloud, this gives a consolidated view of reliability, deployment progress and field behavior across a growing fleet.
Beyond crashes, the platform collects arbitrary metrics, including a flash-wear indicator for eMMC-based designs that estimates remaining lifetime from bytes written and controller wear data. This is particularly relevant for long-lived IoT deployments in asset tracking, smart agriculture or industrial monitoring where flash endurance directly impacts service costs. New AI features such as the “AI version summary” use metric trends before and after a release to generate human-readable summaries of regressions and improvements, leveraging months of historical data retention to highlight patterns in device history.
Out of the box, nRF Cloud powered by Memfault provides Nordic reference integrations, while allowing teams to add custom metrics, events and logs tailored to their product domain. That combination of embedded observability, remote diagnostics, fleet-wide metric analysis and OTA control helps firmware, operations and data teams collaborate on reliability and compliance, turning real-world telemetry into concrete fixes rather than one-off support tickets. The result is a practical path to operating large Nordic-based fleets with clear insight and confidence in each deployment.
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