K11 Software Solutions Full Stack Microservices & Serverless Projects: Learning Path

This repository contains a curated set of microservices, REST APIs, and OpenAPI/Swagger demonstration projects. Each project is designed to teach a specific concept in modern API and microservice development.

Project List (1–14)

1. 01_flask-hello-world-server — Simple Flask REST API (hello world)
2. 02_list-universities-microservices — University listing and website microservices
3. 03_weather_microservice — Weather API microservice
4. 04_stock-price-microservice — Stock price API microservice
5. 05_geocoding-microservice — Geocoding API microservice
6. 06_attractions-microservice — Tourist attractions API microservice
7. 07_astronomy-info-microservice — Astronomy info API microservice
8. 08_country-info-microservice — Country info API microservice
9. 09_research-papers-microservice — Research papers API microservice
10. 10_graphql-city-state-microservice — GraphQL API for city/state info
11. 11_swagger-example-microservice — Swagger/OpenAPI demonstration microservice
12. 12_swagger-techtasks-microservice — Technology tasks API with Swagger/OpenAPI
13. 13_openapi-demo — Minimal Flask API with OpenAPI 3.0 spec
14. 14_openapi-crud-demo — CRUD API with OpenAPI 3.0, pytest automation

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How to Use This Repository

• Start with project 01 for basic REST concepts
• Progress through each project to learn data handling, API documentation, and automation
• Use the README in each project for setup and usage instructions
• See doc/pytest_automation.md and 14_openapi-crud-demo/TESTING.md for testing and automation guidance

Product Price Comparison Application

The Product Price Comparison Application is a microservices-based project designed to demonstrate a multi-service architecture for comparing product prices across different dealers. It is organized as follows:

Architecture Overview

• Backend Microservices:
  • dealer_evaluation_backend/products_list (Flask, Python): Serves product and dealer data from a local products.json file via REST endpoints.
  • dealer_evaluation_backend/dealer_details (Express, Node.js): Provides price data for products and dealers, reading from utils/dealers.json.
• Frontend:
  • dealer_evaluation_frontend (Flask, Python): Serves a static HTML interface (html/index.html) for users to interact with the application.

Data Flow

1. The frontend presents a user interface for selecting products and viewing price comparisons.
2. It communicates with the backend microservices via HTTP requests:
   • Fetches product and dealer lists from the products_list service.
   • Retrieves price information from the dealer_details service.
3. All persistent data is stored in local JSON files within each service; there is no shared database.

Endpoints

• Products List Service (Flask):
  • /products: Returns available products and dealers.
  • /getdealers/<product>: Returns dealers for a specific product.
• Dealer Details Service (Express):
  • /price/:dealer/:product: Returns the price for a given dealer and product.
  • /allprice/:product: Returns all prices for a given product.
• Frontend (Flask):
  • /: Serves the main HTML page.

Running the Application

Each service is self-contained with its own requirements.txt or package.json and Dockerfile. To run locally:

1. Install dependencies for each service (Python: pip install -r requirements.txt, Node.js: npm install).
2. Start each backend and frontend service individually (Python: python app.py, Node.js: node server.js).
3. Access the frontend in your browser to use the application.

Containerization

Each service can be built and run as a Docker container using the provided Dockerfile in each directory.

Integration Points

• All cross-service communication is via HTTP endpoints.
• No direct database or message queue integration; all data is local to each service.

For more details, see the Product_Price_Comparison_Application/ directory and the individual service READMEs.

Recommended Tools

• Python (Flask)
• Node.js (Express, GraphQL)
• Swagger UI, Swagger Editor, SwaggerHub
• Pytest, pytest-cov, pytest-html
• GitHub Actions for CI/CD

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This learning path is designed for hands-on mastery of microservices, REST APIs, OpenAPI/Swagger, and automation best practices.

About k11 Software Solutions

k11 Software Solutions is a leading provider of modern, AI-powered test automation, DevOps, and quality engineering services. We help organizations accelerate digital transformation with robust, scalable, and intelligent automation solutions tailored for SaaS, web, and enterprise platforms.

• Website: https://k11softwaresolutions.com
• Contact: k11softwaresolutions@gmail.com

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