run-gcsfuse-npi

Orchestrate GCSFuse validation and benchmarking pipelines across GCE and GKE environments.

9|6|Updated Jan 11, 2025
One-click install
npx skills add https://github.com/GoogleCloudPlatform/gcsfuse-tools --skill run-gcsfuse-npi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run-gcsfuse-npi
Source: https://github.com/GoogleCloudPlatform/gcsfuse-tools/tree/main/npi/.agents/skills/run-gcsfuse-npi
Command: npx skills add https://github.com/GoogleCloudPlatform/gcsfuse-tools --skill run-gcsfuse-npi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates the complex, multi-stage validation pipeline required for GCSFuse New Product Introduction, ensuring consistent performance, conformance, and reliability across diverse cloud environments.

Core Features & Use Cases

  • Full-Stack Orchestration: Coordinates SSH multiplexing, bucket provisioning, container image building, and conformance testing across GCE and GKE.
  • Performance Benchmarking: Executes high-throughput benchmark suites with automated BigQuery integration and SLA validation.
  • Automated Reporting: Generates comprehensive validation reports and remediation plans to identify and resolve performance regressions.

Quick Start

Execute the run-gcsfuse-npi skill to initiate the full end-to-end validation pipeline for the current software release using the configurations defined in targets.json.

Frequently Asked Questions about run-gcsfuse-npi

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate GCSFuse validation and benchmarking across GCE and GKE?

Automate GCSFuse validation by orchestrating the end-to-end NPI pipeline across GCE and GKE. This manages infrastructure provisioning, conformance testing, and performance analysis to ensure software releases meet reliability standards.

What is GCSFuse NPI validation and when do I need to run it?

GCSFuse NPI validation is a multi-stage process verifying conformance, performance, and reliability for new software releases. Run it during product introduction to satisfy strict SLA verification requirements across diverse cloud environments.

How do I log GCSFuse benchmark metrics to BigQuery during pipeline execution?

Log benchmark metrics to BigQuery by executing the automated high-throughput benchmark suite integrated into the validation pipeline. This captures performance data directly for SLA validation and subsequent regression analysis.

Does the GCSFuse validation pipeline support isolated KUBECONFIG management for GKE testing?

Yes, the GCSFuse validation pipeline supports isolated KUBECONFIG management for GKE testing. It strictly manages configurations to ensure safe, segregated orchestration of conformance tests across GKE environments.

How do I generate remediation plans for GCSFuse performance regressions?

Generate remediation plans for performance regressions using the automated reporting feature within the validation pipeline. It analyzes benchmark results and SLA metrics to identify issues and output actionable remediation steps.

What is the best way to orchestrate SSH multiplexing and bucket provisioning for GCSFuse testing?

Orchestrate SSH multiplexing and bucket provisioning by initiating the full-stack validation pipeline. It coordinates these infrastructure setup tasks automatically alongside container image building and conformance testing.