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minikube start | minikube

minikube is local Kubernetes, focusing on making it easy to learn and develop for Kubernetes. All you need is Docker (or similarly compatible) container or a Virtual Machine environment, and Kubernetes is a single command away: minikube start What you’ll need 2 CPUs or more 2GB of free memory 20GB of free disk space Internet connection Container or virtual machine manager, such as: Docker, QEMU, Hyperkit, Hyper-V, KVM, Parallels, Podman, VirtualBox, or VMware Fusion/Workstation 1Installation Click on the buttons that describe your target platform. For other architectures, see the release page for a complete list of minikube binaries.

概览

收录于

2026年3月17日

学科与领域

computer-science-advanced · devops-site-reliability-engineering

年级范围

九年级（高一）–十二年级（高四）

页面类型

Article

简介

Getting Started with minikube

  • Purpose: minikube provides a local Kubernetes environment for learning and development.
  • System Requirements:
    • 2+ CPUs.
    • 2GB+ free memory.
    • 20GB+ free disk space.
    • Internet connection.
    • Container or VM manager (e.g., Docker, QEMU, Hyper-V, KVM, Podman, VirtualBox, VMware).
  • Installation: Download the binary for your OS/architecture and add it to your system PATH.
  • Core Commands:
    • minikube start: Initializes the local cluster.
    • minikube dashboard: Opens the Kubernetes web-based dashboard.
    • minikube pause / unpause: Temporarily suspends or resumes the cluster.
    • minikube stop: Halts the cluster.
    • minikube delete: Removes all minikube clusters.
  • Cluster Interaction:
    • Use kubectl to interact with the cluster; minikube can download the appropriate version automatically.
    • minikube tunnel: Used to access LoadBalancer deployments by creating a routable IP.
  • Application Deployment:
    • Deployments can be exposed via kubectl port-forward or by using the minikube service command to launch a browser.
    • Ingress support is available via addons and requires minikube tunnel for local access (especially on Docker Desktop).
  • Management: Users can modify cluster resources (e.g., memory limits), run multiple clusters with different Kubernetes versions, and browse a catalog of pre-configured services.
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