Labs

Learning Labs

Explore our collection of hands-on learning labs. Each lab is designed to teach you a specific technology or concept by building real implementations from scratch.

Available Labs

Lab Structure

Each lab follows a consistent structure:

• Prerequisites - What you need to know before starting
• Quick Start - Get running in minutes
• Learning Path - Progressive exercises from basics to advanced
• Real-World Applications - How these concepts apply in production
• Troubleshooting - Common issues and solutions

Choosing a Lab

By Technology Area

• Data Engineering: Apache Iceberg
• Security & Auth: OAuth 2.1
• Real-Time Communication: SSE, MCP Protocol
• Web Development: OAuth implementations in Go and Python

By Difficulty

• Beginner: SSE Bidirectional (start with basic HTTP concepts)
• Intermediate: OAuth 2.1 (security fundamentals)
• Advanced: Apache Iceberg (distributed systems), MCP Sampling (protocol debugging)

By Time Commitment

• 2-4 hours: Basic SSE patterns
• 4-8 hours: OAuth implementation
• 8-16 hours: Complete Iceberg or MCP labs

Learning Tips

1. Run the code first - Get a working example running before diving into theory
2. Break things - Modify the code to see what happens
3. Read the logs - Most labs include detailed logging to show what’s happening
4. Ask questions - If something isn’t clear, open an issue on GitHub

Contributing

Found an issue or want to improve a lab? Each lab is open source and we welcome contributions:

• Fix typos or clarify explanations
• Add examples in new languages
• Share your real-world use cases
• Create new labs for technologies you’ve mastered

Visit our GitHub organization to contribute.