Flask is a suitable web server during development, but if you are going to deploy in a production environment, a Python WSGI server such as Gunicorn should be used. This also applies to Python Flask apps deployed to GCP Cloud Run. Gunicorn is necessary to tune the worker and thread count of each instance to … GCP: deploying a Python WSGI Gunicorn app on Cloud Run
Flask OIDC is an extension to the popular Flask web framework that enables OAuth2/OIDC for your application. The base project does not support ADFS, but I have create a personal fork of this module that supports Windows 2019 ADFS as the OAuth2 Authentication Server. In this article, we will exercise the OAuth2 Authorization Code flow. … Python: Flask-OIDC protecting Client App and Resource Server using Windows 2019 ADFS
Gunicorn is a WSGI HTTP server commonly used to run Flask applications in production. If you are running these types of workloads on a production Kubernetes cluster, you should consider an observability platform such a New Relic to ensure availability, service levels, and visibility into transactions and logging. In a series of previous articles, we … Python: New Relic Agent for Gunicorn app deployed on Kubernetes
Gunicorn is a WSGI HTTP server commonly used to run Flask applications in production. If you are running these types of workloads in production, you should consider an observability platform such a New Relic to ensure availability, service levels, and visibility into transactions and logging. In a previous article, we created a Docker image of … Python: New Relic instrumentation for Flask app deployed with Gunicorn
Gunicorn is a WSGI HTTP server commonly used to run Flask applications in production. Running Flask applications directly is great for development and testing of the basic request/response flow, but you need gunicorn to handle production level loads, concurrency, logging, and timeouts. In this article, I will show you how to build a Docker image … Python: Building an image for a Flask app served from Gunicorn
In a previous post, I described the Kubernetes Downward API and how it allows us to inject pod/container metadata into our runtime container. In this article, I’ll show how you can read the environment variables and mounted files from inside a containerized Python based application.
If you are looking for basic HTTP file uploading using Flask, you can use the code in my python-flask-upload-files project on github as an example. This project exercises multiple scenarios: Upload a single file in chunked mode (not forced to save entirety to disk) Upload a single file Upload multiple files Error message shown when … Python: Using Flask to upload files
If you are using Flask to generate dynamic content of significant size, such as large binary images/pdf or large text-based datasets, then you need to consider streaming to minimize the memory footprint of Flask and preserve scalability. Using an inner generate function and a yield allows Flask to return chunks of data back to the … Python: Using Flask to stream chunked dynamic content to end users