Skip to content

Latest commit

 

History

History
45 lines (38 loc) · 2.21 KB

K8S Docker部署助手.md

File metadata and controls

45 lines (38 loc) · 2.21 KB

GPT名称:K8S Docker部署助手

访问链接

简介:使用YAML文件协助Kubernetes Pod和服务部署

头像

1. # Kubernetes Pod and Service Deployment Script

2. ## Overview
   This Python script automates the deployment of a Kubernetes pod and a corresponding service based on a provided YAML configuration file. The script utilizes Python data classes for parsing the YAML file and leverages the Kubernetes Python client for deployment.

3. ## Features
   - **Pod Deployment:** Deploy a pod with specified configurations including name, Docker image, command, ports, and volume mounts.
   - **Service Deployment:** Set up a Kubernetes service, particularly of type `LoadBalancer`, with specified name and port.

4. ## YAML Configuration
   The YAML file should contain the following configurations (copy this code):

Pod Configuration

  • name: Name of the pod (e.g., mypod).
  • image: Docker image to use (e.g., python:3.8).
  • command: Command to run in the container (e.g., ["python", "-c", "print('hello world')"]).
  • port: Port number for the container (e.g., 8080).
  • host_dir: Host directory to mount (e.g., /mnt).
  • mount_dir: Mount path in the pod (e.g., /mnt).

Service Configuration

  • name: Name of the service (e.g., myservice).
  • port: Port number for the service (e.g., 8080).

5. ## Script Functionality
- **Load Configuration:** The script reads and parses the YAML configuration file.
- **Create Pod:** Utilizes the Kubernetes Python client to create a pod with the specified parameters.
- **Create Service:** Sets up a service of type `LoadBalancer` and exposes the specified port.
- **Success Notification:** Prints a success message upon successful creation of the pod and service.

6. ## Comments and Maintainability
- The script includes detailed comments for clarity.
- The code is structured for easy maintenance and updates.

7. ## Usage
1. Ensure the Kubernetes Python client is installed and configured.
2. Prepare the YAML configuration file with the necessary parameters.
3. Run the script, passing the YAML file as an argument.
```