AI Log Analyzer

An AI-powered DevOps tool that reads system logs, detects errors and anomalies, and generates intelligent incident reports using LLM inference.

Built to simulate real-world Site Reliability Engineering (SRE) workflows.

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What It Does

• Reads system log files in real-time
• Detects ERROR, WARNING, and INFO patterns
• Sends logs to AI model for intelligent analysis
• Generates structured incident reports automatically

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Tech Stack

• Python 3
• Groq API (LLaMA 3.3 70B)
• Docker
• GitHub Actions (CI/CD)
• Linux/WSL

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How To Run

Clone the repo:

git clone https://github.com/edwinjonathanchibuike123-sys/ai-log-analyzer
cd ai-log-analyzer

Add your Groq API key:

cp .env.example .env
# Edit .env and add your GROQ_API_KEY

Install dependencies:

pip install -r requirements.txt

Run the analyzer:

python3 app.py

Run with Docker:

docker build -t ai-log-analyzer .
docker run ai-log-analyzer

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CI/CD Pipeline

Every push to master automatically triggers the GitHub Actions pipeline which installs dependencies and runs the analyzer.

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Author

Edwin Jonathan Chibuike
DevOps & Cloud Engineering
GitHub: edwinjonathanchibuike123-sys.