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🖥️ systemlogs-anomaly-detection - Detect System Issues in Real-Time

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🚀 Getting Started

This application helps you monitor your system by detecting unusual patterns in logs. It uses advanced technology to analyze data and alert you to potential issues. You do not need any programming skills to use it successfully.

🛠️ System Requirements

Before you start, make sure your computer meets these requirements:

• Operating System: Windows 10 or later, macOS, or a Linux distribution.
• RAM: At least 4 GB.
• Disk Space: Minimum 1 GB of free space.
• Docker: Ensure Docker is installed. You can download it here.
• Java: Make sure Java 21 is installed. You can check this by running java -version in your command prompt or terminal.

📥 Download & Install

To get started, visit this page to download the app: Download Page.

1. Click on the link above.
2. Look for the latest version on the Releases page.
3. Download the file that corresponds to your operating system.
4. Once downloaded, unzip the file if necessary.
5. Open your terminal or command prompt.
6. Navigate to the directory where you saved the files.

👩‍💻 Running the Application

1. If you are using Docker:
   • Run the following command to start the application:

     docker-compose up
     

   • It may take a few moments for everything to start, so be patient.
2. If you are running locally without Docker:
   • Use Maven to start the application. Run the following command:

     mvn spring-boot:run
     

   • Again, allow some time for the application to boot up.

📊 Features

• Real-Time Monitoring: Track logs as they are created, detecting unusual activities instantly.
• Anomaly Detection: Leverage Machine Learning to identify patterns that may indicate issues.
• User-Friendly Interface: Designed for ease of use with visual representations of the log data.
• Integration with MongoDB Atlas: Store and manage data efficiently.
• RESTful API Support: Interact with the application programmatically.

📝 Usage Instructions

After successfully running the application, here are steps to follow:

1. Open your web browser.
2. Navigate to http://localhost:8080 to access the interface.
3. Upload your log files using the designated upload button.
4. Review the results generated by the application.

🔧 Troubleshooting

• Application Doesn’t Start:
  • Ensure Docker is running if you chose that option.
  • Check that all required dependencies, such as Java and Maven, are installed properly.
• Anomalies Not Detected:
  • Verify the log files are formatted correctly.
  • Increase the amount of data analyzed to improve accuracy.

🤝 Support

If you run into issues or have questions, you can reach out to the community by raising an issue in the repository or checking the FAQ section.

🎯 Topics Covered

This application uses various technologies to deliver its functionality smoothly:

• Anomaly Detection: The core functionality of detecting irregularities in log data.
• Docker & Docker Compose: For creating a containerized version of the application.
• Spring Boot: The main framework used for building the backend service.
• Machine Learning: Implements algorithms like Isolation Forest for anomaly detection.
• MongoDB: A NoSQL database used to store log data efficiently.
• FastAPI & Python: Used for additional microservices, enhancing overall functionality.

📚 Additional Resources

• Docker Documentation
• Maven Documentation
• Spring Boot Documentation

For updates and more functionality, check back on the Releases Page. Your feedback is valuable and helps us improve the application.