gunicorn

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I'm installing a previously built website on a new server. I'm not the original developer. I've used Gunicorn + nginx in the past to keep the app alive (basically following this tutorial ), but am having problems with it here. I source venv/bin/activate , then ./manage.py runserver 0.0.0.0:8000 works well and everything is running as expected. I shut it down and run gunicorn --bind 0.0.0.0:8000 myproject.wsgi:application , and get the following: [2016-09-13 01:11:47 +0000] [15259] [INFO] Starting gunicorn 19.6.0 [2016-09-13 01:11:47 +0000]

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have web application written in Flask. As suggested by everyone, I can't use Flask in production. So I thought of Gunicorn with Flask . In Flask application I am loading some Machine Learning models. These are of size 8GB collectively. Concurrency of my web application can go upto 1000 requests . And the RAM of machine is 15GB. So what is the best way to run this application? 回答1: You can start your app with multiple workers or async workers with Gunicorn. Flask server.py from flask import Flask app = Flask(__name__) @app.route("/") def

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have a basic django rest application in my digital ocean server (Ubuntu 16.04) with a local virtual environment. The basic wsgi.py is: import os os.environ.setdefault("DJANGO_SETTINGS_MODULE", "workout_rest.settings") # This application object is used by any WSGI server configured to use this # file. This includes Django's development server, if the WSGI_APPLICATION # setting points here. from django.core.wsgi import get_wsgi_application application = get_wsgi_application() # Apply WSGI middleware here. # from helloworld.wsgi import

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I am trying to do something very similar to what's explained here: https://sebest.github.io/post/protips-using-gunicorn-inside-a-docker-image/ I want to get my Flask app + gunicorn both outputting JSON formatted logging. I've got this working for the Flask app, but I can't seem to get it working with gunicorn. Here's my current output: * Running on http://0.0.0.0:5000/ (Press CTRL+C to quit) * Restarting with stat * Debugger is active! * Debugger pin code: 317-187-130 192.168.99.1 - - [12/Jan/2016 20:09:29] "GET /nothing HTTP/1.1" 404 - {

可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试): 问题: I have an application that works in development, but when I try to run it with Gunicorn it gives an error that the "sqlalchemy extension was not registered". From what I've read it seems that I need to call app.app_context() somewhere, but I'm not sure where. How do I fix this error? # run in development, works python server.py # try to run with gunicorn, fails gunicorn --bind localhost:8000 server:app AssertionError: The sqlalchemy extension was not registered to the current application. Please make sure to call init_app() first. server.py

Gunicorn（绿色独角兽）是一个Python WSGI的HTTP服务器。从Ruby的独角兽（Unicorn ）项目移植。该Gunicorn服务器与各种Web框架兼容，实现非常简单，轻量级的资源消耗。Gunicorn直接用命令启动，不需要编写配置文件，相对uWSGI要容易很多 安装 pip install gunicorn # 基本启动 $gunicorn - w 4 -- threads 10 - b 127.0 . 0.1 : 5001 运行文件名称: Flask 程序实例名 # 开启4个进程, 每个进程10个线程 cd toutiao gunicorn - w 4 - b 127.0 . 0.1 : 5001 toutiao . main : app # 设置访问日志和gunicorn错误日志 $gunicorn - b 0.0 . 0.0 : 8000 -- access - logfile / home / python / logs / access_app . log -- error - logfile / home / python / logs / error_app . log toutiao . main : app # 动态创建web应用 -D 以守护进程形式启动 $gunicorn - b 0.0 . 0.0 : 8000 -- access -

测试环境： 1、meinheld 服务端gunicorn启动命令： gunicorn -w 2 -b 0.0.0.0:8080 run:app --error-logfile - --worker-class egg:meinheld#gunicorn_worker 客户端测试命令及结果及结果： ab -c 1000 -t 60 -r -k "http://192.168.16.129:8080/" 项目 第一次 第二次 第三次　　 第四次 qps 服务端gunicorn启动命令及结果： gunicorn -w 2 -b 0.0.0.0:8080 run:app --error-logfile - --worker-class gevent 项目 第一次 第二次 第三次　　 第四次 qps 3940.36

其实还有很多其他开源的CTF平台，之所以选择CTFd主要考虑到简便，成本低，DIY几个特性，FBCTF也是个很棒的比赛平台，界面很炫酷，但是资源占用比较大，另外因为被强，部署难度较麻烦，亲测后决定放弃。miniCTF功能不能满足需求。至于想深入了解去CTFd官网巧巧吧！ CTFd是一款基于Apache2.0的协议的开源CTF平台，最新版本目前为1.20。该平台功能强大，基本上能够满足目前的CTF竞赛需求，同时，该平台提供了强大的插件功能，可以自己进行插件开发实现自己的功能。 本次平台的搭建是在本地虚拟机ubuntu 14.04 LTS下完成的，请保证系统环境正常。 如果需要部署在云服务器上，请准备好ssh工具(推荐xshell)道理大体相同，做只是最后为了让访问更流畅需要做下优化，nginx+gunicorn 文章末尾会做说明！ 虚拟机的话最好使用桥接，提前排除这个出错的可能性，云服务器可以忽略这一点 安利一波系统下载地址，推荐使用国内镜像站下载： 清华大学开源软件镜像站 sudo apt install git sudo apt install python-pip sudo pip install Flask 至此如果就已经出现许多依赖问题，最好耐心解决掉，通常全新安装的系统出现的问题会比较多 sudo git clone https://github.com/isislab

作者 一、简介 Taiga 是一个免费开源，而且功能非常强大的项目管理平台，用于初创企业和敏捷开发团队。提供一个简单、漂亮的项目管理工具。Taiga 采用 Python Django 框架开发，前端基于 AngularJS 实现。 二、更新必要的组件及系统版本 安装必要的组件并更新系统 yum install -y gcc autoconf flex bison libjpeg-turbo-devel yum install -y freetype-devel zlib-devel zeromq-devel gdbm-devel ncurses-devel yum install -y automake libtool libffi-devel curl git tmux yum install -y libxml2-devel libxslt-devel yum install -y wget openssl-devel gcc-c++ 安装PostgreSQL 9.5 wget http://yum.postgresql.org/9.5/redhat/rhel-7-x86_64/pgdg-centos95-9.5-2.noarch.rpm rpm -ivh pgdg-centos95-9.5-2.noarch.rpm yum install -y postgresql95