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{ "item_title" : "Mastering PostgreSQL in the Cloud", "item_author" : [" Venkateswara Vadlamani "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/886/883/9798868831850_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mastering PostgreSQL in the Cloud|Venkateswara Vadlamani

Mastering PostgreSQL in the Cloud : Ai-Driven Solutions Across Aws, Azure, and Gcp

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Overview

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.

Details

  • ISBN-13: 9798868831850
  • ISBN-10: 9798868831850
  • Publisher: Apress
  • Publish Date: October 2026
  • Page Count: 173

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