celery

I am looking to use Flower ( https://github.com/mher/flower ) to monitor my Celery tasks in place of the django-admin as reccomended in their docs ( http://docs.celeryproject.org/en/latest/userguide/monitoring.html#flower-real-time-celery-web-monitor ). However, because I am new to this I am a little confused about the way Flower's page is only based on HTTP, and not HTTPS. How can I enable security for my Celery tasks such that any old user can't just visit the no-login-needed website http://flowerserver.com:5555 and change something? I have considered Celery's own documentation on this, but

Let's take a simple Django example. app/models.py from django.db import models from django.contrib.auth.models import User class UserProfile(models.Model): user = models.OneToOneField(User) token = models.CharField(max_length=32) app/views.py from django.http import HttpResponse from django.views.decorators.csrf import csrf_exempt from forms import RegisterForm from utils.utilities import create_user @csrf_exempt def register_view(request): if request.method == 'POST': form = RegisterForm(request.POST) if form.is_valid(): create_user(form.cleaned_data) return HttpResponse('success') utils

I have a CPU intensive Celery task. I would like to use all the processing power (cores) across lots of EC2 instances to get this job done faster (a celery parallel distributed task with multiprocessing - I think ) . The terms, threading , multiprocessing , distributed computing , distributed parallel processing are all terms I'm trying to understand better. Example task: @app.task for item in list_of_millions_of_ids: id = item # do some long complicated equation here very CPU heavy!!!!!!! database.objects(newid=id).save() Using the code above (with an example if possible) how one would ago

一.Django中的请求 　　Django Web中从一个http请求发起，到获得响应返回html页面的流程大致如下： 　　　　http请求发起 　　　　经过中间件 　　　http handling（request解析） 　　　　url mapping（url匹配找到对应的View） 　　　　在View中进行逻辑（包括调用Model类进行数据库的增删改查） 　　　　经过中间件 　　　　返回对应的template/response。 　　 　　同步请求：所有逻辑处理、数据计算任务在View中处理完毕后返回response。在View处理任务时用户处于等待状态，直到页面返回结果。 　　异步请求：View中先返回response，再在后台处理任务。用户无需等待，可以继续浏览网站。当任务处理完成时，我们可以再告知用户。 二.Django中使用Celery 安装 pip3 install django-celery 配置 　　首先创建一个django项目，结构如下： 　　　　　　　　　　　　　　　　 　　之后再settings.py的同级目录添加celeryconfig.py配置文件，更多配置信息可以参考官方文档。 import djcelery from datetime import timedelta djcelery.setup_loader() # 导入任务 CELERY