Build smarter, scalable PostgreSQL systems in the cloud—powered by AI.

PostgreSQL is no longer just a database—it’s the backbone of modern, intelligent applications. This book shows you how to take PostgreSQL to the next level by combining advanced database techniques with AI-driven automation and multi-cloud strategies.

You’ll learn how to deploy PostgreSQL across AWS, Azure, and Google Cloud, implement serverless architectures, and design high-availability and disaster recovery solutions. Discover how AI can optimize queries, detect anomalies, and power real-time analytics. Explore pgvector for semantic search, Retrieval-Augmented Generation (RAG) for intelligent data retrieval, and in-database machine learning using PGML and PL/Python. Hands-on labs, AMIs, and Azure templates make it easy to apply what you learn in real-world environments.

Security and compliance are covered in depth, including Zero Trust models, IAM federation, and AI-enhanced threat detection. You’ll also master strategies for streaming analytics, observability, and multi-region deployments—all enhanced by AI-driven automation.

Ready to future-proof your PostgreSQL skills? This book gives you the tools to build intelligent, cloud-native database systems for the AI era.

What You Will Learn

• Design multi-cloud PostgreSQL architectures across AWS, Azure, and GCP
• Implement AI-driven workflows for query optimization and anomaly detection
• Use pgvector and RAG for semantic search and GenAI-powered data retrieval
• Deploy in-database machine learning with PGML and PL/Python
• Secure PostgreSQL with Zero Trust, IAM federation, and AI-enhanced threat detection
• Agentic AI development and deployment for PostgreSQL management
• Manage PostgreSQL on Kubernetes using cloud-native operators

Who this Book Is For

Senior database administrators, system architects, and cloud engineers who want to master advanced PostgreSQL deployments in multi-cloud environments. It’s ideal for professionals looking to integrate AI-driven workflows, optimize performance, and build secure, scalable database systems for enterprise and real-time applications.

Venkateswara Vadlamani is an experienced database professional with more than 30 years of expertise as a database administrator and system administrator. He has delivered solutions for high availability, distributed databases, and real-time data synchronization for Fortune 500 corporations in Singapore, Australia, and the United States.

Vadlamani holds certifications as a Solaris Certified System Administrator, Oracle Certified DBA, and AWS Certified Solutions Architect, and earned an MBA in Information Technology. Currently, he works as a Senior Oracle and PostgreSQL Consultant, focusing on implementing PostgreSQL projects on AWS, Azure, and Google Cloud with Artificial Intelligence on Linux operating systems in Southern California.

The ideas, scripts, and examples presented in this book are based on his extensive hands-on experience, including projects using his personal AWS account on EC2 and RDS.