12-24-2025, 07:00 PM
I'm administering a set of Linux servers running a high-throughput database application, and we're hitting consistent I/O wait and context switch bottlenecks under peak load, despite having what should be sufficient hardware resources. I've begun adjusting kernel parameters like vm.swappiness and scheduler settings, but I'm concerned about making changes in production without a clearer methodology. For sysadmins who have tuned similar workloads, what performance monitoring tools and systematic approaches did you use to identify the root cause of these bottlenecks, and which kernel or filesystem tweaks provided the most significant and stable gains for database performance?