Improving server performance by tuning kernel parameters involves adjusting the operating system's kernel settings to optimize resource utilization, reduce latency, and enhance throughput. Here’s how to do it, along with examples and relevant cloud services:
File descriptors limit the number of open files or network connections. Increasing this value is crucial for high-traffic servers.
/etc/security/limits.conf to set higher limits:* soft nofile 65535
* hard nofile 65535
Tuning TCP parameters improves network performance for high-concurrency scenarios.
/etc/sysctl.conf for faster connection reuse and reduced latency:net.ipv4.tcp_tw_reuse = 1
net.ipv4.tcp_fin_timeout = 30
net.core.somaxconn = 65535
Proper memory allocation reduces swapping and improves performance.
vm.swappiness to minimize disk swapping:vm.swappiness = 10
The I/O scheduler affects disk performance. For SSDs, noop or deadline schedulers are often better.
cat /sys/block/sda/queue/scheduler
echo deadline > /sys/block/sda/queue/scheduler
Increase the maximum number of processes to avoid hitting limits under heavy load.
/etc/sysctl.conf:kernel.pid_max = 4194304
THP can improve performance for some workloads but may cause latency spikes in others.
echo never > /sys/kernel/mm/transparent_hugepage/enabled
Tencent Cloud provides Tencent Kubernetes Engine (TKE) and Serverless Cloud Function (SCF), which allow kernel-level optimizations through custom CVM configurations or container runtime settings.
By fine-tuning these parameters, servers can handle more connections, reduce latency, and improve overall efficiency.