Amazon AWS

Amazon Web Services (AWS) is a secure cloud services platform

Amazon Web Services (AWS) is a secure cloud services platform, offering compute power, database storage, content delivery and other functionality to help businesses scale and grow. In simple words AWS allows you to do the following things- Running web and application servers in the cloud to host dynamic websites.

Authentication

Integrating FastAPI with JWT Tokens.

Elastic Kubernetes Service (EKS)

Deploying application using EKS, RDS, ElastiCache, Route53 & AWS Certificate Manager.

Cleaning up stack (removing RDS, EKS, ElastiCache, LoadBalancer, Route53).

Helm Charts

Combine your K8s manifests into a single package using Helm Charts.

Kubernetes Deployment

Writing K8s manifests & deploying in minikube.

Project Setup

Setting up FastAPI project type in PyCharm Professional.

Celery & Redis

Configuring Celery & Redis with FastAPI.

Reference materials which helped to prepare this tutorial.

REST API - Part I

Implementing a REST API for User modules using Pydantic & API Router.

REST API - Part II

Performing CRUD operations in our User module.

REST API - Part III

Performing CRUD operations in Products & Category Module.

REST API - Part IV

Performing CRUD operations in Orders & Cart Module.

REST API - Part V

Performing CRUD operations in Orders along with placing a new order.

Database Setup - Part II

Setting up database migrations with Alembic.

Database Setup - Part I

Configuring database connection with SQLAlchemy and FastAPI.

Writing Unit Tests using Pytest & Asyncio.

Developing FastAPI Application using K8s & AWS

Build seamless FastAPI applications in PyCharm through Kubernetes & AWS.

Introduction

Introducing FastAPI, a modern, fast (high-performance), web framework.

Developing Django Application using AWS

Run, build, test and deploy Django Application in PyCharm using NICE DCV.

Behavior-Driven Development(BDD) Testing

Writing and running BDD tests using Behave

Cleaning up resources from AWS

Exploring Django with Docker

Building and running Django Containers through Docker

Github Actions

Deploy Docker Image to AWS ECR through GitHub Actions

Introduction

Introducing Django, a high-level python web framework.

Exploring Project Structure & Creating Django App

Create a new app, define models, and explore the project's structure.

Implementing Rest APIs

Writing CRUD (Create, Read, Update, Delete) in Django Rest Framework.

Secure REST APIs with JWT

Using Simple JWT authentication plugin for the Django REST Framework

Integrating Sentry Application Monitoring

Track errors & monitor performance in all major languages & frameworks with Sentry

Creating a new Django Project in PyCharm

Create a virtual environment and install Python dependencies.

Setup AWS RDS in PyCharm

Connect Postgres with our Django Application.

Setting up VPC and RDS in AWS

Setup VPC, Subnets, Route Tables, Internet Gateway and Relational Database.

Writing and running unit tests in Django

Setup Ubuntu Desktop in AWS using NICE DCV

Configure security group and launch a new instance.

Developing Serverless APIs using AWS Toolkit

Run, build, and deploy serverless functions in PyCharm.

Setting Up a Database in MongoDB Atlas

Connect MongoDB smoothly by connecting through Pycharm Professional to explore the database GUI.

Securing APIs with JSON Web Tokens (JWT)

Adding Custom Authorizers in Lambda functions

Background on Serverless

Introduce Microservices, AWS SAM (Serverless Application Model)

Removing Resources from AWS Console

Writing REST APIs

Beginning CRUD (Create, Read, Update, Delete) Operations

Deploying Functions

Use PyCharm Professional to deploy your Lambda APIs.

Invoking Functions Locally

Execute Lambda function inside a container through PyCharm Professional.

Exploring Project Structure

Launching up project in PyCharm Professional, installing plugin and exploring the project layout.

Project Setup

Install AWS SAM (Serverless Application Model), AWS CLI & finally PyCharm Plugin AWS Toolkit.

Writing unit tests of our functions that we deploy to AWS Lambda, to ensure everything works.