大模型服务部署自动化流程

大模型服务部署自动化流程

在大模型微服务治理实践中，构建自动化部署流程是提升DevOps效率的关键环节。本文将分享一个基于Kubernetes的自动化部署方案。

核心架构

GitLab CI/CD → Helm Chart → Kubernetes Deployment

实施步骤

1. 创建Helm Chart

apiVersion: v2
name: llm-model
version: 0.1.0
appVersion: "1.0"
dependencies:
  - name: nginx
    version: "1.20.0"

2. 编写Deployment配置

apiVersion: apps/v1
kind: Deployment
metadata:
  name: llm-deployment
spec:
  replicas: 3
  selector:
    matchLabels:
      app: llm
  template:
    metadata:
      labels:
        app: llm
    spec:
      containers:
      - name: model-server
        image: my-llm-image:latest
        ports:
        - containerPort: 8080

3. CI/CD流水线配置

stages:
  - build
  - deploy

build:
  stage: build
  script:
    - docker build -t my-llm-image:latest .
    - docker push my-llm-image:latest

deploy:
  stage: deploy
  script:
    - helm upgrade --install llm-release ./helm-chart

通过该流程，可实现模型服务的快速部署与版本管理，符合微服务治理要求。