I'm deploying a django (python) application. I wondered what is the best way to deploy it. With microsoft azure or Amazon Elastic Beanstalk ?
The application just needs to view data from a database. What are (dis)advantages of azure or elastic beanstalk?
I'm using OSX 10.9.5 and Python 3.4.3
As Gaurav Mantri said, you need to provide more details - atleast the OS you are using. Some more surfing could lead you here :
What's the recommended way to deploy a Django app on IIS?
For web apps, Azure has Azure App Service. Deployment can be done through a variety of ways, including FTP, git, or from Visual Studio. Since you're using Mac, I would recommend deploying via git.
To do so, first create a web app in the Azure portal, and then follow the steps here:
https://azure.microsoft.com/en-us/documentation/articles/web-sites-publish-source-control/
The advantages of Azure App Service, is that you can easily scale your app to many machines, and everything is taken care for you. Note that depending on how you've configured your database, you would have to deploy that separately.
Also, if you want to test Azure App Service, you can easily create a small sample Django application, using the Azure gallery. See the screen shot below.
Azure Web Apps provide a volume of ways for deployment your web applications. We can leverage tools/IDEs including FTP tools , Visual Studio and WebMatrix on Windows for remoting and modifying your web site code, and leverage repository for continuous deployment including local GIT, GITHUB, Visual Studio Online, Dropbox, Bitbucket.
It depends which way you prefer to.
As # theadriangreen mentioned, Azure Web Apps provide Django template for a quick start, you can simply create a Django application and pull the code to local leveraging the methods above.
Beside Continuous deployment using GIT in Azure App Service, you also can refer to Creating web apps with Django in Azure for more information.
Related
I want to deploy multiple apps to a single Azure app service (Linux). These apps are related but independently developed by different groups and have to deployed to a single app service. In the windows+dotnet world we could achieve this by deploying to virtual folders. Trying find a way to achieve the same with python on Linux app service. Any guidance is appreciated.
I am trying to achieve similar to that of virtual folders - but with Python Flask and Azure App Services
domain.com/api1
domain.com/api2
domain.com/api3
...
each of the apis are developed by different groups and should be deployed independently..
App service plans are the 'servers' in this instance so they provide the CPU and memory. App services or 'web apps' are the sites you are connecting too.
In the App service you can go to the path mappings tab under configuration and setup custom storage. However I am not sure this will meet your needs MS Docs
However I think the better option is to create an App service per application unless there is a need for them to share a main directory / domain name as it doesn't cost any more and separates them out for configuration, network settings etc.
I have created a python web app on azure. I also have devOps where I have repository and all the python flask API code.
In azure python web app, under deployment center. I have selected the Azure DevOps and have selected my organization, project, repo and branch. It also has an option of selecting the web application framework in which I think I need to select Python but there is no option of selecting python. If I do not select any framework and click continue, nothing happens. Can anyone please help me in setting this up. Thanks
I suppose you are using a Linux web app, if so, there is no Python option in Web Application Framework, it is just available in the Windows web app.
I'm new to IBM Cloud and cloud platforms in general and wanted to start my Flask app on IBM Cloud, I just started with this Getting started with Python but I'm very confused with how it will work.
Is Cloud Foundry working the same way as containers work?
How the platform handle the dependencies in order to Flask use them in both deployment ways?
Your question is (almost) too broad. I can give you some basic answers, but everything else should be separate questions when you run into specific problems. You are referring to the Getting Started with Python and Cloud Foundry on IBM Cloud (this is the IBM Cloud docs, not the GitHub repo).
When working with Cloud Foundry (CF), the CF environment and buildpack takes care of the dependencies. For Python, they are specified in the file requirements.txt and there is the file manifest.yml to configure the app, its name, memory usage, domain and more. When you push the app (either cf push or ibmcloud cf push) the two files are taken into account and everything else is done automatically. That's the appeal of Cloud Foundry.
With containers, you would write a Dockerfile, then build the container image, push the image to a container registry, deploy the container to Kubernetes. When you build the container, your script would need to take care of resolving the dependencies (based on requirements.txt) and include the necessary modules into the image.
I recommend reading the Deploy an Application Cloud Foundry doc as a starter to give some more background. There is also a simple IBM Cloud solution tutorial that walks you through the steps of deploying a Flask app with a Db2 database. That same site with IBM Cloud solution tutorials also has an overview of tutorials by deployment option (Cloud Foundry, Kubernetes, Cloud Functions, etc.).
I want to deploy Django project on google app engine
Following are the current situations.
I have a code on GITHUB
Djnago project has setup using Vagrant, Ansible, VirtualBox
I am completely new for cloud base deployments.
Need help to achieve this.
I checked google docs but there are couple of options for django related deployment, I am not sure which to pick for vagrant and ansible.
Your question is a bit too generic as it stands - making it here rather than comment for clarity.
If you're talking about deploying to GAE (Google App Engine) then most likely you cannot re-use your Ansible scripts as you've been writing for vagrant. As it may be possible to use Ansible to deploy on GAE, most people I know are using standard google procedure to deploy their app.
If you plan to use GCE (Google Compute Engine, a layer down in the infrastructure), you would be able to use your existing Ansible provisioning scripts (maybe with slight modification), follow along the Ansible documentation
As subject, is is possible with just one source code, we can deploy our code to Openshift or Google App Engine? Heroku is not necessarily in my case.
My application is using Python Flask + PostgreSQL 9.1. I love the easiness in Openshift when I configure my technology stack, but is the case will be same with GAE?
Thanks!
I work on Openshift and at this time I'm not aware of anything that will deploy your code to GAE and Openshift at the same time.
You might be able to write your own script for it.
PostgreSQL is not available on GAE, so this code will definitely not run there.