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Detailed performance optimization strategies, kernel parameter tuning, and system maintenance routines for the mw-pfeddersheim-workstation.
performance
optimization
kernel-tuning
maintenance
2026-03-09
mw-pfeddersheim-workstation Performance Tuning
Overview
This document tracks optimization decisions, system tuning parameters, and cleanup routines implemented for the workstation to ensure maximum resource efficiency and stability.
Current System State (2026-02-27)
CPU: AMD/Intel (High core count assumed from load distribution)
RAM: 64GB
Storage: NVMe (77% usage detected)
OS: Manjaro/Arch Linux
Optimization Strategies
1. Kernel Parameter Tuning (Ansible)
vm.swappiness: Set to 10 to prefer RAM over swap on the 64GB machine.
fs.inotify.max_user_watches: Increase to 524288 for IDEs and build tools.
vm.vfs_cache_pressure: Set to 50 to improve filesystem cache retention.
2. Storage & Filesystem Cleanup
Docker: Automated pruning of unused images and volumes via scripts/maintenance.sh.
Journald: Vacuuming logs older than 7 days or exceeding 500MB.
Package Manager: Maintaining only the last 2 versions of packages in the cache.
3. Service Optimization
Ananicy: (Optional) Use Ananicy-cpp for automatic process prioritizing.
Implementation Log
Date
Type
Description
2026-02-27
Initial
Initial tuning document and strategy established.
2026-02-27
Audit
Performed system inspection: Boot time 33.8s, RAM usage 6.5GB/62GB, identified KVM and UVC errors.
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