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I have a django 1.3 site using SQLite. It works well.
I recently install django-celery along with django-kombu. I am using supervisord to launch the celery dameon with the command:
python manage.py celeryd -v 2 -B -s celery -E
Everything works, except launching celeryd brings the system to a crawl. When I use top, I see that I am creating a long running python process that consumes anywhere from 5% to 10% of the cpu on my shared server.
During testing, I have no celery tasks scheduled or running.
From my experience, it's django-kombu that's taking a lot of CPU time. Use another broker like RabbitMQ or Redis.
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I have seen some pages with title deploy django with docker .
I deploy just with nginx & gunicorn and its awesome .
Is docker good for deploying django app ?
Does it make application faster or with better performance ?
So whats the main purpose ?
Docker helps developers bring their ideas to life by conquering the complexity of app development. It packages your Django app and creates a run time making sure that it works the same on all machines.
"But, It works on my system" - Developer without docker!
Also, you might be using nginx and gunicorn with Docker as well for hosting your django app. Containerization is a generic concept to have a machine independent run time to package everything. It simplifies your deployment process.
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I have installed angular-cli and node in AWS EC2 server. After that i cloned my angular 2 app from Git repository i.e BitBucket to server. The problem is when i enter the ip address of my server in browser the app is not running. As angular 2 uses localhost:4200 if you are running locally but how to tell to server that which url need to use.
Wow, there are literally n number of ways to do this. You have to do exactly what you would do on your Mac's terminal. You just have an additional step of SSHing to your EC2 instance.
Open Mac Terminal.
SSH to your EC2 terminal.
Install node, npm there.
Clone angular 2's seed repository.
run npm install to install dependencies
run npm start to fire up dev server
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I am testing apache spark on my aws free tier account following this tutorial. However it creates 2 new instances (1x master and 1x slave) which means I wouldn't be able to run my machines for the whole month...
Question: Is there a way I can install apache spark on one single machine?
thanks
If you are just testing Spark you actually don't need to "install" spark. I do all my Spark development in a local VM running in local mode, but you can do the same thing in AWS with these steps:
Download Spark: http://spark.apache.org/downloads.html I typically go for the "Pre-built for Hadoop 2.6 and later" (don't worry, you don't need Hadoop whatsoever)
scp the tar to your machine, unpack somewhere like /opt or /usr/share
That's it!
You can run the spark shell:
/opt/spark-1.4.1-bin-hadoop2.6/bin/spark-shell
You can run packaged spark applications in local mode:
/opt/spark-1.4.1-bin-hadoop2.6/bin/spark-submit --master local[*] --class com.example.project.class project-1.0.jar
You can start Spark:
/opt/spark-1.4.1-bin-hadoop2.6/sbin/start-all.sh
And hit the Spark UI at port 8080
The solution was easy... follow the instructions to setup apache spark as a standalone server link
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Is not efficient :).
I'm trying to learn django by building a simple app. I bought a hosting plan on webfaction, set up github account and a putty on my Windows machine. I'm writing the "code" on my Windows, pushing it to github repo, then connecting via putty to my webfaction account to pull from github.
This is extremely tedious and boring process and I can't help but wonder that I'm doing something wrong. Even fixing a simple typo takes a lot of time. Are developers writing everything server-side using vim? This sound even less encouraging. Can I do something to improve my workflow? How it's done by professionals?
To summarise Kit Sunde's answer: you shouldn't be deploying to the server until you've actually got a site to deploy. Normal development and testing is done locally, using manage.py runserver and a local db. This works fine on Windows.
You need to stop wasting your own time, which you are if you are editing code on the server. There are many reasons why you shouldn't deploy code that way the most important ones is that you'll waste time and also importantly is that you'll break things while users are looking at the site.
Setup a development server locally, this is why the django manage.py runserver exists. If you for some reason can't run it on windows, then install a server in virtualbox, mount the folder in windows where your code is and run it off that (this is what we do for our designers although we have a lot of dependencies).
There are IDE's out there that enables you to run Django via a GUI that you might find more comfortable, I use PyCharm and I hear good things about eclipse.
You'd save time if you learned how fabric worked so you can automate your deploy process. I am unsure how well fabric works on windows, but I'm sure you can use cygwin or similar to get it working.
A fairly basic example would be this one:
from fabric.api import *
env.hosts = ['ubuntu#example.org']
def deploy():
pid_file = "~/myproject/process.pid"
with cd('~/myproject/'):
run('git pull')
run('src/city_nomads/manage.py collectstatic --noinput')
# If the process isn't up we don't want the thing to exit.
with settings(warn_only=True):
run("cat {} | xargs kill -TERM".format(pid_file))
run("src/myproject/manage.py runfcgi "
"method=threaded "
"host=127.0.0.1 "
"port=8000 "
"pidfile={} "
"--settings=myproject.settings_release".format(pid_file))
It'll SSH into my server, pull the source, collectstatic, kill the process if it's there and then run django as fastcgi. I'm assuming you have nginx or apache set up to connect to Django on port 8000.
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I'm looking to deploy a django app on AWS (since I have some credit coupon) and am looking for a good place to read about it - mostly b/c I never used it before. thanks
looking for a good place to read about it
Here you go
I am a developer at BitNami, you may want to take a look at our free Django AMI. It is compatible with the AWS free tier.
2 new tutorials are given
realpython doc
and
Ashok Fernandez blog
The simplest approach is to simply spin up an EC2 instance, install nginx (mysql? and any other dependencies you might have) then follow the steps on the django site: https://code.djangoproject.com/wiki/DjangoAndNginx to deploying it. This basically goes through setting up a script to run "python [your app directory]/manage.py runfcgi host=127.0.0.1 port=8080" and setting up nginx to proxy requests to that port.
Another approach is to simply use a 3rd party tool like http://nudow.com to automate the deployment. For now the initial deployment I believe has to be done manually, however subsequent deployments can be done with one click. (and has other benefits like versioning)
I usually use Nginx on an EC2 instance
If you wish to deploy your Django app ASAP, without scratching your head :
You can use this script that I wrote:
Safely deploy your Django app in less 1 minute!
Instructions
Installing the DeployDjango script
$ wget https://raw.githubusercontent.com/yask123/DeployDjango/master/deploydjango.sh && chmod +x deploydjango.sh
From your Django App’s root directory (Where manage.py file exists).
$ sudo ./deploydjango.sh project_name
Done!
Visit http://ip-address-of-your-instance to see your web app live!