DevOps AI Assistant

Inspiration

Modern DevOps teams struggle with the complexity of managing multiple CI/CD pipelines, monitoring infrastructure health, and making quick deployment decisions. We wanted to create an AI-powered assistant that could help automate these tasks and provide intelligent recommendations.

What it does

DevOps AI Assistant leverages ERNIE AI to:

• Automate CI/CD Pipeline Management: Automatically configure, optimize, and troubleshoot pipelines
• Infrastructure Monitoring: Real-time analysis of system health with predictive alerts
• Intelligent Deployment Decisions: AI-powered recommendations for safe deployments

For the Warm-up Task, we built a complete document intelligence pipeline that:

1. Takes PDF documents as input
2. Uses PaddleOCR-VL to extract text content
3. Converts the extracted data to structured Markdown
4. Sends to ERNIE API for intelligent analysis and HTML generation
5. Deploys the result to GitHub Pages

How we built it

• PaddleOCR-VL: For document text extraction
• ERNIE-4.0-turbo-8k: For intelligent content analysis and HTML generation
• Python: Backend processing pipeline
• GitHub Pages: Hosting the generated web interface

Challenges we ran into

• Configuring PaddleOCR with CUDA compatibility
• Optimizing ERNIE prompts for consistent HTML output
• Ensuring the pipeline works end-to-end

What we learned

• How to use PaddleOCR-VL for document processing
• ERNIE API integration best practices
• Building automated document intelligence pipelines

What's next

• Add support for more document formats
• Improve HTML template generation
• Multi-language support enhancement

Built With

• docker
• ernie-5
• fastapi
• grafana
• kubernetes
• paddlepaddle
• prometheus
• python