Performance Engineering
Linux Performance Tuning
Optimise kernel, CPU, memory, disk I/O, network stack, limits, schedulers, and services around workload behaviour.
Linux exposes many parameters, but changes without a baseline can move the bottleneck or introduce risk. We tune the operating system according to workload behaviour and test evidence.
When this service is needed
- CPU, memory, I/O, or network resources reach saturation.
- Applications hit file-descriptor, connection, or process limits.
- Latency is inconsistent despite apparently sufficient capacity.
- Servers must prepare for higher demand.
Scope
- CPU scheduling, load, context switches, interrupts, and process analysis.
- Memory pressure, swap, cache, NUMA, and out-of-memory behaviour.
- Filesystem, disk latency, queues, mounts, and I/O schedulers.
- TCP stack, connection tracking, sockets, backlogs, and network buffers.
- System limits, service managers, logging, and background processes.
- Benchmarks, change records, rollback, and stability observation.
Tuning methodology
- Baseline: measure latency, throughput, errors, saturation, and resources.
- Hypothesis: connect symptoms to evidence and candidate bottlenecks.
- Controlled change: introduce one group of changes with a rollback path.
- Retest: repeat the same scenario and compare results.
- Observe: monitor stability and regression risk after change.
Deliverables
- Baselines and a bottleneck map.
- Prioritised recommendations with change risks.
- Applied configuration and rollback records.
- Before-and-after evidence with capacity guidance.
Intended outcomes
The operating system uses resources more effectively with documented parameters aligned to workload characteristics.