Good knowledge of the Kubernetes basic concepts and components - this exercise will be utilizing Kubernetes concepts such as Deployments, Services, Volumes, PersistentVolume, Secrets, Pods, Containers, etc. For more on Kubernetes concepts check out this documentation. - Source: dev.to / 2 months ago

Create a deployment.yaml to define a Deployment resource. A Deployment in Kubernetes is a resource that manages and updates a group of identical pods that run our application. Ensure to substitute IP 80.85.245.188 to your VPS IP. - Source: dev.to / 3 months ago

Kubernetes Deployments Documentation. - Source: dev.to / 3 months ago

Deployments manage a set of pods and ensure your application is running in the desired state. When you use Kubernetes, you'll inevitably write a deployment at some point along the line. - Source: dev.to / 4 months ago

The above command will take us to our deployment file. We can go ahead and edit the file with information from a similar file in Kubernetes documentation at https://kubernetes.io/docs/concepts/workloads/controllers/deployment/ and also enable a port. Please note that we replaced the name of the app with sever1 and added the section for port, and protocol. As can be seen below. - Source: dev.to / 9 months ago

And Streamlit itself so far does not support Gunicorn, so its vertical scalability is limited. - Source: dev.to / 3 months ago

It's also worth mentioning that this Flask application is not production-ready. At the very least, you'll want to put an application server like Gunicorn in front of it (example in my repo). You'll also want to use a web server like NGINX to serve assets, or use a combination of WhiteNoise and a CDN to deliver assets. - Source: dev.to / 3 months ago

Every time I started the Flask service, it showed a warning in red that it shouldn't be used in production. While it's unrelated to OpenTelemetry, and though nobody complained, I was not too fond of it. For this reason, I added a "real" HTTP server. I chose Gunicorn, for no other reason than because my knowledge of the Python ecosystem is still shallow. - Source: dev.to / 4 months ago

The static files are managed with whitenoise, Gunicorn is used for the WSGI server and Sentry is used for error monitoring and reporting in production. - Source: dev.to / 6 months ago

Now, we can create the Procfile for Heroku. The Procfile contains the command that will be run once the application is deployed on Heroku. You can do this by creating a new file named Procfile and pasting the following command. We will be using Gunicorn to run the application instead of the default Flask server. - Source: dev.to / 7 months ago