Mastering PostgreSQL in the Cloud: AI-Driven Solutions Across AWS, Azure, and GCP

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.