curd_practical

Curd Practical Using Django and Django REST

This is a simple CURD operations Project, made using Django and Django REST, Can be used as web as well as API Way.

Installing the Packages from the Ubuntu Repositories

• To begin the process, we’ll download and install all of the items we need from the Ubuntu repositories. We will use the Python package manager pip to install additional components a bit later.

• We need to update the local apt package index and then download and install the packages. The packages we install depend on which version of Python your project will use.

  $ sudo apt update
  
  $ sudo apt install python3-pip python3-dev libpq-dev 

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Setting Up and Running Project

• For the sake of simplicity SQLite Database is used.
• Take clone from the project Repo.
• Open Terminal at Project base directory, that would be directory where manage.py is located.
• Create a Virtual Environment using command python3 -m venv venv(your_desired_enviroment_name)
• Install required packages using command pip install -r requirements.txt
• The Repo already has a SQLite Database file with One SuperUser Created. You can use that DB or Create a new one for yourself.
• To Run Project use command python manage.py runserver
• If you Don't get any errors, you have successfully run project, goto browser and type localhost:8000 you should see the project.

Setting Up and Running Project Using Docker For X86 Architecture System (Linux, Windows, etc)(Intel/AMD Based Processors)

• Install Docker on your system
• Take Project build pull from Docker Hub using Command : docker pull shubhamdevgan/curd_demo:x86_64_arch
• Run Docker Image using Command : docker run -p 8000:8000 shubhamdevgan/curd_demo:x86_64_arch
• If you Don't get any errors, you have successfully run project, goto browser and type localhost:8000 you should see the project.

Setting Up and Running Project Using Docker For ARM Architecture System (Apple M1 Processor based systems or Other arm64/v8 Processors)

• Install Docker on your system
• Take Project build pull from Docker Hub using Command : docker pull shubhamdevgan/curd_demo:arm_arch
• Run Docker Image using Command : docker run -p 8000:8000 shubhamdevgan/curd_demo:arm_arch
• If you Don't get any errors, you have successfully run project, goto browser and type localhost:8000 you should see the project.

Scalling the Project

• Project can be scalled using Multi-Container Architecture using Docker Container by Using and Container orchestration technology such as Kubernetes, AWS EKS, AWS ECS

POSTMAN COLLECTION CAN BE FOUND AT

• https://www.getpostman.com/collections/f3b6285dbac18dd833da