Security Log Dashboard and Analysis Platform

Security Log Dashboard and Analysis Platform

Project Date: May 2025
Technologies: Python (Flask, Pandas), AWS (S3, Glue), Elasticsearch, HTML/CSS/JavaScript

Overview

A comprehensive security monitoring solution that processes and analyzes Apache web server logs to identify potential threats and security anomalies.

Key Features

Centralized Dashboard

Built a unified interface for processing, analyzing, and visualizing security logs with real-time updates and customizable views.

Data Pipeline

Developed efficient data pipelines using AWS Glue and S3 for log ingestion, transformation, and storage at scale.

Implemented Elasticsearch for rapid threat identification and pattern analysis with sub-second query performance.

Interactive Visualization

Created Flask and JavaScript web interface to display key security metrics and detect anomalies with responsive design.

Real-time Monitoring

Automated threat detection with customizable alerting and notification systems.

Technical Highlights

  • Performance: Processed millions of log entries with sub-second query performance
  • AI/ML Integration: Implemented machine learning algorithms for anomaly detection
  • Scalability: Designed scalable architecture supporting multiple log sources
  • User Experience: Built responsive web interface with real-time updates
  • Security: Comprehensive threat analysis and pattern recognition

Architecture

The platform follows a microservices architecture with:

  • Data Ingestion Layer: AWS S3 for raw log storage
  • Processing Layer: AWS Glue for ETL operations
  • Search Layer: Elasticsearch for indexing and querying
  • Application Layer: Flask API for business logic
  • Presentation Layer: Interactive web dashboard

Impact

This project demonstrates expertise in:

  • Cloud-native architecture design
  • Big data processing and analytics
  • Security monitoring and threat detection
  • Full-stack web development
  • DevOps and automation practices

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