Book Image

Flask Framework Cookbook - Second Edition

By : Shalabh Aggarwal
Book Image

Flask Framework Cookbook - Second Edition

By: Shalabh Aggarwal

Overview of this book

Flask, the lightweight Python web framework, is popular thanks to its powerful modular design that lets you build scalable web apps. With this recipe-based guide, you’ll explore modern solutions and best practices for Flask web development. Updated to the latest version of Flask and Python 3, this second edition of Flask Framework Cookbook moves away from some of the old and obsolete libraries and introduces new recipes on cutting-edge technologies. You’ll discover different ways of using Flask to create, deploy, and manage microservices. This Flask Python book starts by covering the different configurations that a Flask application can make use of, and then helps you work with templates and learn about the ORM and view layers. You’ll also be able to write an admin interface and get to grips with debugging and logging errors. Finally, you’ll learn a variety of deployment and post-deployment techniques for platforms such as Apache, Tornado, and Heroku. By the end of this book, you’ll have gained all the knowledge you need to confidently write Flask applications and scale them using standard industry practices.
Table of Contents (15 chapters)

Deployment and Post-Deployment

Until now, we have learned how to write Flask applications in different ways. The deployment of an application and managing the application post-deployment is as important as developing it. There can be various ways of deploying an application, where choosing the best way depends on the requirements. Deploying an application correctly is very important from a security and performance point of view. There are multiple ways of monitoring an application after deployment, of which some are paid and others are free to use. Using them depends on the requirements and features that are offered by them.

In this chapter, we will talk about various application-deployment techniques, followed by some monitoring tools that are used post-deployment.

Each of the tools and techniques we will cover have their own sets of features. For example, adding too much monitoring...