Agentic Architectures on Azure
Building Production-Grade AI Agent Systems with Microsoft Cloud Services
$80.03
- Paperback
252 pages
- Release Date
30 November 2026
Summary
This book is a practical, production-focused guide to building autonomous AI agent systems that go beyond prototypes. As organizations move from demos to real-world deployments, they encounter challenges around scalability, security, cost, and reliability—areas often overlooked in existing resources. This book addresses those gaps by applying proven distributed systems principles, such as bounded contexts, contract-based communication, and resilience, to multi-agent AI systems on Azure.
…Book Details
| ISBN-13: | 9798868832215 |
|---|---|
| Author: | Ricardo Cataldi |
| Publisher: | APress |
| Imprint: | APress |
| Format: | Paperback |
| Number of Pages: | 252 |
| Release Date: | 30 November 2026 |
| Dimensions: | 178mm x 254mm |
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Ricardo Cataldi
Ricardo Cataldi is a Senior Solution Engineer on Microsoft’s Global Black Belt (GBB) team for AI, Apps, and Agents, where he drives enterprise AI initiatives from discovery to production. With a master’s degree in Applied Economics (UFRGS) and graduate studies in Mathematics (USP), he brings rigorous analytical foundations to enterprise AI delivery. At Microsoft, Ricardo has delivered AI solutions for banking, education, retail, and telecommunications customers. He owns delivery from discovery to production, industrializing machine-learning engineering pipelines and building multi-agent workflows with reliability and governance controls. Ricardo teaches Machine Learning Engineering at FIAP. His published research on traceability and trust has accumulated more than 100 citations, and his Azure Samples contributions (Holiday Peak Hub, Tutor, and Tayra) demonstrate production-grade AI patterns.
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