RSS-aggregator_Golang

The Go Web Server and RSS Scraper project is a Go-based application designed to fetch, parse, and serve RSS feeds. It provides a robust web server with modular components for handling various aspects of RSS feed processing, error handling, and user management.

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Go Web Server and RSS Scraper

Overview

The Go Web Server and RSS Scraper project is a Go-based application designed to fetch, parse, and serve RSS feeds. It provides a robust web server with modular components for handling various aspects of RSS feed processing, error handling, and user management.

Tech Stack

  • Go: Core programming language for implementing the web server and RSS scraper.
  • PostgreSQL: Database management system for storing RSS feed data.
  • Gin: Web framework for building the RESTful API.
  • Gorm: ORM for database interactions.
  • Docker: Containerizes the application for consistent deployment.
  • GitHub Actions: Automates CI/CD pipeline for the project.
  • Kubernetes: Orchestrates containerized application deployment.
  • Prometheus & Grafana: Used for monitoring and logging application performance.

Output

Here are some examples of the outputs generated by the Go Web Server and RSS Scraper:

  • RSS Feed Data: Access and interact with various RSS feeds.
  • API Responses: View the data and results provided by the RESTful API.

Pipeline Flow

  • Data Collection: Fetches and parses RSS feeds from various sources.
  • API Endpoints: Provides RESTful endpoints to interact with the feed data.
  • Error Handling: Robust error handling and logging for reliability.
  • Containerization: Containerizes the application using Docker.
  • CI/CD Pipeline:
    • Code Commit & Push: Code is pushed to the GitHub repository.
    • GitHub Actions Trigger: GitHub Actions triggers the pipeline upon code push.
    • Build & Test: Builds the application and runs tests.
    • Docker Build: Builds a Docker image of the application.
    • Push Docker Image: Pushes the Docker image to a container registry.
    • Deploy to Kubernetes: Deploys the application to a Kubernetes cluster.
    • Monitoring & Logging: Uses Prometheus and Grafana for monitoring and logging the application’s performance.
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