Chess.com faced high CPU usage and latency issues with a massive data stream consuming excessive resources. Using observability dashboards, Redpanda identified inefficient compaction on compressed data as the root cause. After upgrading to Redpanda version 25.1 with smarter compaction controls, CPU usage dropped sharply,

6m read timeFrom redpanda.com
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The opening: High CPU and growing resource pressure #The winning move: smarter compaction, powered by observability #Checkmate: less CPU, lower latency, happier users #Redpanda’s winning observability strategy #

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