模型部署环境一致性检查

核心监控指标

环境变量监控

# 检查关键环境变量
ENV_VARS=(
  "MODEL_VERSION"
  "RUNTIME_ENV"
  "DEPLOYMENT_TIMESTAMP"
)

for var in "${ENV_VARS[@]}"; do
  if [[ -z "$var" ]]; then
    echo "ERROR: Missing required environment variable $var"
    exit 1
  fi
done

依赖包版本一致性

# 检查Python包版本
pip list --format=freeze > requirements_check.txt

# 验证核心依赖
REQUIRED_PACKAGES=(
  "scikit-learn==1.2.2"
  "numpy==1.24.3"
  "pandas==1.5.3"
)

for pkg in "${REQUIRED_PACKAGES[@]}"; do
  if ! pip show ${pkg%%==*} > /dev/null 2>&1; then
    echo "ERROR: Missing package $pkg"
    exit 1
  fi
done

告警配置方案

Prometheus告警规则

# model_env_consistency.rules
groups:
- name: model-env-consistency
  rules:
  - alert: EnvironmentMismatch
    expr: count(model_environment_vars{job="model-deployment"}) != 3
    for: 5m
    labels:
      severity: critical
    annotations:
      summary: "Model environment variables mismatch"
      description: "Expected 3 environment variables, found {{ $value }}"

Docker容器检查脚本

#!/bin/bash
# check_container_env.sh

echo "=== Container Environment Check ==="

# 检查模型版本一致性
MODEL_VERSION=$(cat /app/model_version.txt)
if [[ "$MODEL_VERSION" != "v1.2.3" ]]; then
  echo "ERROR: Model version mismatch: expected v1.2.3, got $MODEL_VERSION"
  exit 1
fi

# 检查配置文件一致性
if ! diff /app/config.yaml /etc/model-config.yaml > /dev/null; then
  echo "ERROR: Configuration files differ"
  exit 1
fi

复现步骤

1. 在部署脚本中添加环境检查逻辑
2. 配置Prometheus告警规则
3. 设置定期执行环境一致性检查任务