Linux Performance Tuning
LISA: Where systems engineering and operations professionals share real-world knowledge about designing, building, and maintaining the critical systems of our interconnected world.
The LISA conference has long served as the annual vendor-neutral meeting place for the wider system administration community. The LISA14 program recognized the overlap and differences between traditional and modern IT operations and engineering, and developed a highly-curated program around 5 key topics: Systems Engineering, Security, Culture, DevOps, and Monitoring/Metrics. The program included 22 half- and full-day training sessions; 10 workshops; and a conference program consisting of 50 invited talks, panels, refereed paper presentations, and mini-tutorials.
Grand Ballroom C
The Linux operating system is commonly used both in the data center and for scientific computing applications; it is used in embedded systems as small as a wristwatch, as well as in large mainframes. As a result, the Linux system has many tuning knobs so that it can be optimized for a wide variety of workloads. Some tuning of the Linux operating system has been done ""out of the box"" by enterprise-optimized distributions, but there are still many opportunities for a system administrator to improve the performance of his or her workload on a Linux system.
This class will cover the tools that can be used to monitor and analyze a Linux system, and key tuning parameters to optimize Linux for specific server applications, covering the gamut from memory usage to filesystem and storage stacks, networking, and application tuning.
Intermediate and advanced Linux system administrators who want to understand their systems better and get the most out of them.
The ability to hone your Linux systems for the specific tasks they need to perform.
- Strategies for performance tuning
- Characterizing your workload's requirements
- Finding bottlenecks
- Tools for measuring system performance
- Memory usage tuning
- Filesystem and storage tuning
- NFS performance tuning
- Network tuning
- Latency vs. throughput
- Capacity planning
- Profiling
- Memory cache and TLB tuning
- Application tuning strategies






















