Performance Tuning

Guide the user through optimizing their Raspberry Pi's performance for home lab workloads, covering kernel parameters, swap configuration, I/O scheduling, GPU memory allocation, and resource monitoring.

Trigger

• User asks about improving Pi performance or reducing latency
• User mentions "slow", "swap", "memory", "GPU memory split", or "I/O scheduler"
• User wants to optimize their Pi for Docker workloads
• User asks about kernel parameters, sysctl tuning, or boot config
• User wants to reduce SD card wear or optimize storage I/O
• User asks about CPU governor, overclocking, or thermal management

Required Inputs

• SSH connectivity to the Raspberry Pi (validated via homelab_sshTest)