提高内存进程使用

Dockerfile

@@ -29,5 +29,8 @@ RUN mkdir -p /app/logs && chmod 755 /app/logs
 # 暴露端口
 EXPOSE 8000
 
-# 启动命令，启用详细日志
+# 安装gunicorn
-CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--access-log", "--log-level", "info"]
+RUN pip install --no-cache-dir gunicorn==21.2.0
+
+# 启动命令，使用gunicorn，4个workers
+CMD ["gunicorn", "app.main:app", "-w", "4", "-k", "uvicorn.workers.UvicornWorker", "--bind", "0.0.0.0:8000", "--timeout", "120", "--keepalive", "5"]

docker-compose.yml

@@ -14,4 +14,23 @@ services:
       - ./logs:/app/logs
       # 配置文件映射
       - ./.env:/app/.env:ro
-    restart: unless-stopped
+    restart: unless-stopped
+
+    # 资源限制
+    deploy:
+      resources:
+        limits:
+          # 内存限制：8GB（充分利用94GB内存）
+          memory: 10G
+          # CPU限制：12个CPU核心（32核心服务器，使用约1/3）
+          cpus: '12.0'
+        reservations:
+          # 预留内存：2GB
+          memory: 2G
+          # 预留CPU：4个核心
+          cpus: '4.0'
+
+    # 环境变量
+    environment:
+      # 生产模式
+      - APP_DEBUG=false