
A minimal template for dockerized flask app with redis task queue
The Flask-Redis-Docker Template is a project that combines Flask, Redis, RQ (Redis Queue), and Docker in a simple demo application. It serves as a template for other projects and provides an introduction on how to use Flask with RQ while managing it all with docker-compose. The web application allows users to launch long running jobs, which are then placed into a task queue managed by RQ. A RQ worker picks up the job and executes it, providing progress updates and the job result if successful.
The Flask-Redis-Docker Template is a project that provides a comprehensive solution for integrating Flask, Redis, RQ, and Docker. By using this template, developers can easily create web applications with task queue management and Docker containerization. The template includes features such as launching long running jobs, progress updates during execution, and reporting of job results. The installation process is straightforward, requiring the cloning of the repository and running the application using docker-compose. Overall, this template offers a convenient and efficient solution for managing Flask applications with Redis, RQ, and Docker.

Flask is a lightweight and popular web framework for Python, known for its simplicity and flexibility. It is widely used to build web applications, providing a minimalistic approach to web development with features like routing, templates, and support for extensions.
A template or theme refers to a pre-designed layout or structure that provides a basic framework for building a specific type of application or website. It typically includes good design, placeholder content and functional features, allowing developers to customize and fill in the details according to their specific needs.
A website that uses Docker for containerization to streamline development, testing, and deployment workflows. This includes features such as containerization of dependencies, automated builds and deployments, and container orchestration to ensure scalability and availability.