Connect is a Python Flask project within the cloud-native ecosystem

Overview

Connect

Project 2 from Cloud-Native Nanodegree

Extracting the monolith

The first step is to understand how the current system is architected and identify clear context boundaries. There are three diagrams for that:

What is clear from the beginning is that Connection has two dependencies: Location and Person, while Location has one dependency: Person. It's possible to implement one service per entity. The frontend calls two resources: Connection Data Resource and Persons Resource. Since these two entities will probably be separated in different services, we might need a proxy available for the frontend that will redirect the requests to the microservices.

A good candidate for the first refactoring would be Connection entity, since it only imports and isn't imported by anything. But there is no simple way for it to import Location and Person, so let's think of something else.

I see Person as the most isolated entity. Location needs a Person ID in order to be created, but this has no relation with Person model and it is received directly from the request. Therefore, we can start with a Person microservice and setup a proxy. The Person microservice will be an internal service that requires fast and reliable responses, so we can use gRPC to communicate. But we can use REST to start.

Step 1: Person microservice structure

  • person_service
    • person
      • model
      • schema
      • service
      • controller
    • routes
    • config

Methods: - Create - Retrive - Retrieve All

Step 2: Create a proxy to redirect Person requests to Person microservice and the rest to the Monolith

This proxy will have the same address as the frontend is expecting and will communicate with Person service and the monolith via RESTful APIs. The monolith will have its address changed to have a smooth migration.

After that, it's clear that Location is coupled with Connection entity; we'll need to refactor and move Location logic in ConnectionService to Location methods before moving it to its own service.

Step 3: Refactor and extract Location

  • location_service
    • location
      • model
      • schema
      • service
      • controller
    • routes
    • config

Location is also an internal service and we can use gRPC for communication, but we can start with REST.

After that, we can finally get rid of the monolith and work on extracting Connection microservice. This service will require a RESTful API due to the communication with the frontend, but it'll also implement gRPC in the future to communicate with internal services.

Step 4: Extract Connection

  • connection_service
    • connection
      • model
      • schema
      • service
      • controller
    • routes
    • config

From that we have our microservices implemented and we can implement gRPC between them.

Step 5: Implement gRPC communication in the internal services

After that, we need to evaluate the performance and possible caveats in the system.

Owner
Lauren Ferreira
Creating things I'm proud of.
Lauren Ferreira
WebSocket support for Flask

flask-sock WebSocket support for Flask Installation pip install flask-sock Example from flask import Flask, render_template from flask_sock import Soc

Miguel Grinberg 165 Dec 27, 2022
Control YouTube, streaming sites, media players on your computer using your phone as a remote.

Media Control Control Youtube, streaming sites, media players on your computer using your phone as a remote. Installation pip install -r requirements.

Shreyas Daniel 10 Dec 08, 2022
A simple way to demo Flask apps from your machine.

flask-ngrok A simple way to demo Flask apps from your machine. Makes your Flask apps running on localhost available over the internet via the excellen

117 Dec 27, 2022
Full text search for flask.

flask-msearch Installation To install flask-msearch: pip install flask-msearch # when MSEARCH_BACKEND = "whoosh" pip install whoosh blinker # when MSE

honmaple 197 Dec 29, 2022
A simple FastAPI web service + Vue.js based UI over a rclip-style clip embedding database.

Explore CLIP Embeddings in a rclip database A simple FastAPI web service + Vue.js based UI over a rclip-style clip embedding database. A live demo of

18 Oct 15, 2022
A Flask extension that enables or disables features based on configuration.

Flask FeatureFlags This is a Flask extension that adds feature flagging to your applications. This lets you turn parts of your site on or off based on

Rachel Greenfield 131 Sep 26, 2022
A YouTube webscraper made with flask.

YouTube Webscraper This website is for you to check all the stats on your favorite Youtube video! Technologies Python Flask HTML CSS Pafy Contributing

Proconsulates 3 Nov 25, 2021
REST API built using flask framework that used for managing bookmarks by individual users.

Bookmarks REST API REST API built using flask framework that used for managing bookmarks by individual users. API Consumers Note This app is built usi

Venkatesh Tantravahi 1 Dec 27, 2021
flask-apispec MIT flask-apispec (🥉24 · ⭐ 520) - Build and document REST APIs with Flask and apispec. MIT

flask-apispec flask-apispec is a lightweight tool for building REST APIs in Flask. flask-apispec uses webargs for request parsing, marshmallow for res

Joshua Carp 617 Dec 30, 2022
This repo contains the Flask API to expose model and get predictions.

Tea Leaf Quality Srilanka Chapter This repo contains the Flask API to expose model and get predictions. Expose Model As An API Model Trainig will happ

DuKe786 2 Nov 12, 2021
A Flask web application that manages student entries in a SQL database

Student Database App This is a Flask web application that manages student entries in a SQL database. Users can upload a CSV into the SQL database, mak

rebecca 1 Oct 20, 2021
Adds SQLAlchemy support to Flask

Flask-SQLAlchemy Flask-SQLAlchemy is an extension for Flask that adds support for SQLAlchemy to your application. It aims to simplify using SQLAlchemy

The Pallets Projects 3.9k Dec 29, 2022
Learn REST API with Flask, Mysql and Docker

Learn REST API with Flask, Mysql and Docker A project for you to learn to work a flask REST api with docker and the mysql database manager! Table of C

Aldo Matus 0 Jul 31, 2021
a flask profiler which watches endpoint calls and tries to make some analysis.

Flask-profiler version: 1.8 Flask-profiler measures endpoints defined in your flask application; and provides you fine-grained report through a web in

Mustafa Atik 718 Dec 20, 2022
Intranet de la Rez Flask web app

IntraRez Application Flask de l'Intranet de la Rez. Exigences Python : Probablement = 3.10 à terme, pour l'instant = 3.8 suffit ; Autres packages Li

3 Jul 03, 2022
Flask-redmail - Email sending for Flask

Flask Red Mail: Email Sending for Flask Flask extension for Red Mail What is it?

Mikael Koli 11 Sep 23, 2022
docker-compose uWSGI nginx flask

docker-compose uWSGI nginx flask Note that this was tested on CentOS 7 Usage sudo yum install docker

Abdolkarim Saeedi 3 Sep 11, 2022
API to get the details of the characters in the Money heist TV show.

Project Heist Description: Project Heist is a RESTful API made using Python and Flask. This API is inspired by the popular Spanish TV show Money Heist

Rahul V 5 Dec 19, 2022
Flask-Bcrypt is a Flask extension that provides bcrypt hashing utilities for your application.

Flask-Bcrypt Flask-Bcrypt is a Flask extension that provides bcrypt hashing utilities for your application. Due to the recent increased prevelance of

Max Countryman 310 Dec 14, 2022
i18n and l10n support for Flask based on Babel and pytz

Flask Babel Implements i18n and l10n support for Flask. This is based on the Python babel module as well as pytz both of which are installed automatic

397 Dec 15, 2022