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Pangea

Real-time pipeline for log analysis with AI

A simple and simplified forward-proxy-caching-IDS-AI-log-analyzer comprehensive system, made for self-educational purpose. Long story short: with the help of ChatGPT I found some ideas to practice my coding skills (!) and learn something new about networks, data, AI...

LLMs (mostly ChatGPT and Claude) have been used as a support to design the architecture, generate/study parts of the code and to write the documentation.

Modules

The whole project is divided in modules. All the documentation in the 'docs' folder:

# Name Description Languages Status
00 Overview Architecture and instructions - Completed
01 Proxy A forward proxy Go Completed
02 ETL Log ETL tool Rust Ongoing
03 Agent AI-based log analysis Python Pending

Every module has its own Dockerfile in the docker folder. Container orchestration is done via Kubernetes using the files in the k8s folder. Communication between modules is done via files and Kafka topics. More about general architecture and usage in the Overview.

Special thanks to

My beloved wife and my wonderful kids, who let me some spare time here and there to purse my hobbies.

Resources

Generic

Go

Rust

Roadmap

Subject to changes.

Task Module Status
Implement a forward proxy server Proxy Completed
Implement a log ETL tool ETL Completed
Implement Kafka communication - In Progress
Containerize the modules with Docker - In Progress
Orchestrate containers with Kubernetes - In Progress
Implement AI-based log analysis Agent Pending
Implement IDS functionalities IDS Pending
Implement blocklist functionalities Proxy Pending
Implement caching functionalities Proxy Pending

License

This project is under Apache 2.0 License.

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A simple and simplified forward-proxy-caching-IDS-AI-log-analyzer comprehensive system, made for self-educational purpose

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