Architecture Analysis Project – by Khalil Alyacoubi

This project shows my understanding of backend architecture and performance.
Each company had a different situation, and my goal was to pick the best design that fits it .simple, logical, and efficient.

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What's inside

project/
│
├── analysis_report.pdf              # Main report with my choices and reasoning
│
├── implementation_sketches/
│   ├── company_a_solution.py        # Chat app (Single-threaded WebSocket)
│   ├── company_b_solution.py        # Image processing (Multi-threaded)
│   └── company_c_solution.py        # API Gateway (Multiplexing)
│
├── performance_calculations.md              # Detailed performance breakdown
└── README.md                                # This file

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Quick Summary

Company	Type of Work	Pattern	Why
A – Chat	Mostly I/O (real-time)	Single-threaded (Node style)	Fast and scalable for many WebSocket users
B – Image Processing	CPU-heavy	Multi-threaded	Fully uses all cores and GPU power
C – API Gateway	I/O + network calls	Multiplexing (HTTP/2)	Best for parallel downstream requests

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How to read it

1. Start with analysis_report.pdf – it explains the architecture choices.
2. Then check performance_calculations.md – quick look at results.
3. Finally, explore the .py sketches to see how each system could be built.