Amazon AWS

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.

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References
Reference materials which helped to prepare this tutorial.

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Authentication
Integrating FastAPI with JWT Tokens.

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

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Elastic Kubernetes Service (EKS)
Deploying application using EKS, RDS, ElastiCache, Route53 & AWS Certificate Manager.

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

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Project Setup
Setting up FastAPI project type in PyCharm Professional.

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Celery & Redis
Configuring Celery & Redis with FastAPI.

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Kubernetes Deployment
Writing K8s manifests & deploying in minikube.

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REST API - Part II
Performing CRUD operations in our User module.

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REST API - Part III
Performing CRUD operations in Products & Category Module.

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REST API - Part IV
Performing CRUD operations in Orders & Cart Module.

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REST API - Part V
Performing CRUD operations in Orders along with placing a new order.

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Testing
Writing Unit Tests using Pytest & Asyncio.

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Database Setup - Part I
Configuring database connection with SQLAlchemy and FastAPI.

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

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Database Setup - Part II
Setting up database migrations with Alembic.

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Developing FastAPI Application using K8s & AWS
Build seamless FastAPI applications in PyCharm through Kubernetes & AWS.

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

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

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Secure REST APIs with JWT
Using Simple JWT authentication plugin for the Django REST Framework

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Setup AWS RDS in PyCharm
Connect Postgres with our Django Application.

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Cleanup
Cleaning up resources from AWS

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Behavior-Driven Development(BDD) Testing
Writing and running BDD tests using Behave

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Exploring Django with Docker
Building and running Django Containers through Docker

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Github Actions
Deploy Docker Image to AWS ECR through GitHub Actions

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Introduction
Introducing Django, a high-level python web framework.

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

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Exploring Project Structure & Creating Django App
Create a new app, define models, and explore the project's structure.

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

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Creating a new Django Project in PyCharm
Create a virtual environment and install Python dependencies.

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Setting up VPC and RDS in AWS
Setup VPC, Subnets, Route Tables, Internet Gateway and Relational Database.

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Unit Tests
Writing and running unit tests in Django

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Setup Ubuntu Desktop in AWS using NICE DCV
Configure security group and launch a new instance.

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Developing Serverless APIs using AWS Toolkit
Run, build, and deploy serverless functions in PyCharm.

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Setting Up a Database in MongoDB Atlas
Connect MongoDB smoothly by connecting through Pycharm Professional to explore the database GUI.

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Cleanup
Removing Resources from AWS Console

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Writing REST APIs
Beginning CRUD (Create, Read, Update, Delete) Operations

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

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Invoking Functions Locally
Execute Lambda function inside a container through PyCharm Professional.

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Securing APIs with JSON Web Tokens (JWT)
Adding Custom Authorizers in Lambda functions

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

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Deploying Functions
Use PyCharm Professional to deploy your Lambda APIs.

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

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Background on Serverless
Introduce Microservices, AWS SAM (Serverless Application Model)