Which OpenShift resources does it generate?

It primarily renders 'tuned.openshift.io/v1' manifests, helping you apply consistent sysctl, kernel, and hardware-specific optimizations across your node pools.

Can I use this for offline analysis?

Yes, the skill supports analyzing extracted sosreport directories, allowing you to identify tuning issues even without an active cluster connection.

Does it require cluster admin permissions?

To analyze live nodes, it requires 'oc' CLI access and the ability to launch debug pods; however, the manifest generation and offline analysis features can be used locally.

What is the Node Tuning Helper skill?

It is a specialized tool for Claude Code that automates the creation and analysis of OpenShift Node Tuning Operator (NTO) configurations for high-performance clusters.

How does it help with CPU isolation?

It inspects kernel command lines and IRQ affinities to ensure that latency-sensitive cores are correctly isolated from system interrupts and background tasks.

Node Tuning Helper

Name: Node Tuning Helper
Author: openshift-eng

byopenshift-eng

•

Despliegue y DevOps

Generates optimized OpenShift Tuned manifests and analyzes node performance snapshots to identify configuration gaps.

Acerca de

The Node Tuning Helper skill provides specialized automation for managing OpenShift Node Tuning Operator (NTO) configurations. It streamlines the creation of complex YAML manifests for CPU isolation, huge pages, and sysctl settings while offering deep-dive analysis of live nodes or sosreport archives to detect tuning inefficiencies. By automating manifest generation and providing actionable recommendations on IRQ affinity and network counters, it ensures high-performance workloads are correctly provisioned and maintained according to infrastructure best practices.

Características Principales

Validation of sysctl, huge pages, and networking counters
Remote node inspection via oc debug and sosreport collection
Deep analysis of CPU isolation and IRQ affinity gaps
29 GitHub stars
Automated generation of OpenShift Tuned Operator manifests
Support for offline analysis of archived diagnostic reports

Casos de Uso

Optimizing nodes for low-latency or high-throughput telco and financial workloads
Standardizing node configurations across large-scale OpenShift clusters
Troubleshooting performance regressions by comparing live nodes against best practices

Acerca de

Características Principales

Validation of sysctl, huge pages, and networking counters
Remote node inspection via oc debug and sosreport collection
Deep analysis of CPU isolation and IRQ affinity gaps
29 GitHub stars
Automated generation of OpenShift Tuned Operator manifests
Support for offline analysis of archived diagnostic reports

Casos de Uso

Optimizing nodes for low-latency or high-throughput telco and financial workloads
Standardizing node configurations across large-scale OpenShift clusters
Troubleshooting performance regressions by comparing live nodes against best practices