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deploy-gke

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Deploy ML services to GKE with secure overlays

Software Engineering#gcp#kubectl#deploy#gke#kustomize#workload-identity
AuthorDuqueOM
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Deploy ML services to GKE with Kustomize overlays and Workload Identity to simplify secure, repeatable deployments in cloud environments.

Core Features & Use Cases

  • Authorization Protocol: Consistent access controls across dev, staging, and production environments.
  • Pre-Flight & Validation: Checks for cluster context, image readiness, and overlay correctness before deployment.
  • Deployment Orchestration: Apply Kustomize overlays, handle image tags, and manage rollouts with status checks.
  • Identity & Security: Enforce Workload Identity bindings and service account permissions for GCP resources.

Quick Start

Run the deploy-gke skill with the service name and version tag to initiate a GKE deployment.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: deploy-gke
Download link: https://github.com/DuqueOM/ML-MLOps-Portfolio/archive/main.zip#deploy-gke

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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