A practical resource for engineers, architects, and technology leaders building production-grade data and AI systems.
This repository is the official companion resource for the book Designing Scalable, Reliable Data and AI Systems for Production.
It contains practical assets for engineers, architects, and technology leaders building enterprise-grade systems.
- Scalable data pipeline examples
- Cloud architecture diagrams
- Data quality frameworks
- Observability templates
- Security & governance controls
- MLOps deployment patterns
- AI production system blueprints
- Real-world case studies
✅ 11 Professional Architecture Diagrams
✅ 11 Chapter Companion Guides
✅ 10+ Real Engineering Code Examples
✅ Data Engineering + AI Systems in One Framework
✅ Enterprise Security, Governance & Compliance Models
✅ Production Reliability & Observability Patterns
✅ Real-Time Fraud Detection Capstone System
- Data Engineering
- AI Systems
- MLOps
- Cloud Architecture
- Reliability Engineering
- Governance & Security
- Data Quality
- Streaming Systems
- Enterprise Platforms
Data Engineering • AI Systems • Cloud Architecture • MLOps • Reliability • Governance • Security
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