Edge computing is spreading fast, from factory floors to remote infrastructure. But many of these systems are hard to maintain once they are deployed. Devices may run old kernels, custom board support packages, or stacks that no one can rebuild years later. Updates can fail due to weak connectivity or power loss, and a mistake can brick thousands of systems at once. Add AI workloads that cannot tolerate downtime, and patching becomes even harder. In … More
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