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There have been several issues on kdump framework with recently emerging terabyte-scale memory systems: failure of collecting crash dump due to OOM on kdump 2nd kernel, constant performance degradation on memory filtering additionally taking 40 minutes per 1TB memory, etc, where several components consisting of kdump framework can no longer scale on huge memory environments. This talk explains the issues and the corresponding upstream improvements.
From this talk, audience can learn not only recent upstream improvements, but also practical tips for kdump configuration on huge memory system. The audience is expected to have at least basic skills about linux system operations to understand kdump configuration, and basic kernel knowledge if they are interested in technical aspects, too.