• Tech Stack Used
• Project Description
• Issues Faced
• Approach Used
• Installation
• Contributing
• Contact Developer

• Python
• Flask (Web Framework)
• Socket.IO (Real-time communication)
• HTML/CSS/JavaScript

This project is a web application that monitors log entries from an error log file. It displays log entries in real-time and categorizes them as secure or error based on the HTTP response code. The application uses Flask for the backend to serve the web pages, Socket.IO for real-time communication, and HTML/CSS/JavaScript for the frontend. The log entries are stored in a MySQL database.

1. Real-time Data Synchronization:
   • Issue: Achieving real-time updates from the log file to the web interface posed a challenge.
   • Solution: Implementation of Socket.IO and designing a suitable data synchronization strategy to achieve real-time updates
2. Log Parsing and Data Extraction:
   • Issue: Extracting relevant information from the log entries, particularly dealing with varying log formats.
   • Solution: Developing a robust parsing algorithm to handle different log patterns and extract essential data.

A description of the approach used for your log monitoring web app :

1. Understanding Requirements:

   • Analyzed the project requirements and identified the need for a real-time log monitoring web application that extracts and displays relevant information from a log file.

2. Technology Stack Selection:

   • Chose appropriate technologies based on project requirements, including Python for server-side logic (Flask), real-time updates (Socket.IO), and front-end development (HTML, CSS, JavaScript).

3. Log Parsing and Data Extraction:

   • Developed a log parsing algorithm to extract crucial information (IP address, timestamp, request, HTTP response code) from log entries, accommodating variations in log formats.

4. Integration with MySQL Database:

   • Configured and integrated MySQL database to store error log entries (HTTP response code other than 200) for efficient data storage and retrieval.

   

5. Real-time Data Synchronization:

   • Implemented Socket.IO to establish a bidirectional communication channel between the server and clients, enabling real-time updates of log entries without requiring manual page refreshes.

6. Front-end Development:

   • Designed a user-friendly web interface using HTML and CSS to display log entries in a clear and organized manner, differentiating between secure and error entries.

7. Deployment and Testing:

   • Deployed the web application on an appropriate server, ensuring its smooth functioning and responsiveness. Conducted thorough testing to identify and address any bugs or issues.

8. Documentation and README:

   • Created comprehensive documentation, including a README file, to provide clear instructions on how to use the application, install dependencies, contribute, and contact the developer.

9. Version Control:

   • Utilized a version control system (e.g., Git) to manage the project's codebase, track changes, and collaborate with other developers effectively.

This approach enabled the successful development and deployment of a real-time log monitoring web application, meeting the specified requirements and delivering a valuable tool for monitoring and analyzing log data.

1. Clone the repository.
2. Install the required dependencies using pip install -r requirements.txt.
3. Set up the MySQL database and configure the connection (see MySQL Setup).
4. Run the application using python app.py.

• Install MySQL and create a database.
• Update the MySQL configuration in the app.py file with your MySQL credentials.

If you'd like to contribute to this project, feel free to fork the repository and submit a pull request.

For any inquiries or feedback regarding the project, please contact:

• Developer: Anant Choubey