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what are the benefits or difference between running mlflow in virtual machine directly and running it inside a docker container in the virtual machine ?
Also how do we log the artifacts and parameters in an mlflow server running inside a container if we are running our machine learning model outside of the container?
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There are 3 Linux machines say Machine A, Machine B, Machine C
None of the machines can share their SSH keys. You can only login by username and password
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I am new to DevOps and python. I want to dockerize my python ML model which is a Flask API. I want to know if we only put the .pyd files on the container or the whole source code in the docker container.
Python is not a compiled language. While there are 'tricks' to ship only the bytecode, Python programs are usually shipped with the whole source code.
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I am using Django with sqlite, Now my app is on my Github and I have a VPS with CentOS. Please help me how to upload my App from Github to my VPS.
Thank you
If it's on github, all you should need to is git clone the repo to your vps, and install django, just as you would start any django project.
If you want to do a production deploy on a CentOS server have a look at this guide: https://www.digitalocean.com/community/tutorials/how-to-serve-django-applications-with-apache-and-mod_wsgi-on-centos-7 and look out for your SELinux settings, and your security in general.
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I'm trying to create a webjob in python that listens to a queue. I have done the same in c# with the following code,
public static void ProcessQueueMessage([QueueTrigger("webjobsqueue")] string inputText,
[Blob("containername/blobname")]TextWriter writer)
{
writer.WriteLine(inputText);
}
I want the equivalent in python that listens to a queue and trigger the python file.
There is currently no WebJobs SDK support for python, you can use the Azure Python SDK to do so as you don't have to use WebJobs SDK to create a WebJob.
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I was using python-mosquitto for several projects. Today I read that the Eclipse Paho project also contains a Python MQTT client module. I built and installed it, and the syntax and classes appear to be exactly the same.
Is one a fork of the other? Which one is under active development and should be used in production? mqtt.org seems to think the Paho is the way to go but there is no mention of this on mosquitto.org.
What are the exact differences between python-mosquitto and paho-python?