gunicorn

I want to configure supervisor to control gunicorn in my django 1.6 project using an environment variable for SECRET_KEY. I set my secret key in .bashrc as export SECRET_KEY=[my_secret_key] And I have a shell script to start gunicorn: NAME="myproject" LOGFILE=/home/django/myproject/log/gunicorn.log LOGDIR=$(dirname $LOGFILE) NUM_WORKERS=3 DJANGO_WSGI_MODULE=myproject.wsgi USER=django GROUP=django IP=0.0.0.0 PORT=8001 echo "Starting $NAME" cd /home/django/myproject/myproject source /home/django/.virtualenvs/myproject/bin/activate test -d $LOGDIR || mkdir -p $LOGDIR exec gunicorn ${DJANGO_WSGI

We have a web app made with pyramid and served through gunicorn+nginx. It works with 8 worker threads/processes We needed to jobs, we have chosen apscheduler. here is how we launch it from apscheduler.events import EVENT_JOB_EXECUTED, EVENT_JOB_ERROR from apscheduler.scheduler import Scheduler rerun_monitor = Scheduler() rerun_monitor.start() rerun_monitor.add_interval_job(job_to_be_run,\ seconds=JOB_INTERVAL) The issue is that all the worker processes of gunicorn pick the scheduler up. We tried implementing a file lock but it does not seem like a good enough solution. What would be the best

plotly-dash 是一个很不错的dashboard 开发平台，基于python 编写，提供了很便捷的dashboard 开发模型 同时扩展上也比较灵活我们可以编写自己的组件。 以下是一个简单的项目以及集成docker 运行（实际通过gunicorn,uwsgi运行应用） 本地方式运行 使用venv 进行python 环境管理 初始化venv 项目 python3 -m venv venv 激活环境 source venv/bin/activate 添加依赖 pip install dash==1.1.1 pip install dash-daq==0.1.0 简单代码 # -*- coding: utf-8 -*- import dash import flask import dash_core_components as dcc import dash_html_components as html server = flask.Flask(__name__) ​ external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css'] app = dash.Dash(__name__, external_stylesheets=external_stylesheets) server = app

I have setup gunicorn with 3 workers 30 worker connections and using eventlet worker class. It is setup behind Nginx. After every few requests, I see this in the logs. [ERROR] gunicorn.error: WORKER TIMEOUT (pid:23475) None [INFO] gunicorn.error: Booting worker with pid: 23514 Why is this happening? How can I figure out whats going wrong? thanks We had the same problem using Django+nginx+gunicorn. From Gunicorn documentation we have configured the graceful-timeout that made almost no difference. After some testings, we found the solution, the parameter to configure is: timeout (And not

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? molivier 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 hello(): return "Hello World!" if __name__ == "_

django+nginx+supervisor+gunicorn+gevent 网站部署 标签（空格分隔）： 未分类 django gunicorn supervisor gevent django，nginx，supervisor，gunicorn，gevent这几个都是在本领域大名鼎鼎的软件，下面的部署都是在ubuntu12.04里面验证成功的！ 首先是安装这些软件在ubuntu下面都比较简单，nginx和supservisor的安装如下 apt-get install nginx,supervisor 在ubuntu下使用python，强烈建议安装python-dev apt-get install python-dev 安装django，gunicorn，gevent，使用虚拟环境安装，不要污染了系统库 配置gunicorn gunicorn app.wsgi:application -w 4 -b :%(proxy_port)s -k gevent --max-requests 500 --access-logfile=%(access_log)s --error-logfile=%(error_log)s 这个是一个基本的运行配置，不过对于大多数网站来说已经够用了 supervisor配置 [program:dyzww] autorestart=true command