Mastering PostgreSQL in the Cloud: Ai-Driven Solutions Across Aws, Azure, and Gcp
暫譯: 精通雲端 PostgreSQL:跨 AWS、Azure 與 GCP 的 AI 驅動解決方案

Vadlamani, Venkateswara

  • 出版商: Apress
  • 出版日期: 2026-10-24
  • 售價: $2,180
  • 貴賓價: 9.5 折 $2,071
  • 語言: 英文
  • 頁數: 343
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868831850
  • ISBN-13: 9798868831850
  • 相關分類: PostgreSQL、Amazon Web Services、Kubernetes
  • 海外代購書籍(需單獨結帳)

商品描述

PostgreSQL is no longer just a database; it is 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 will learn how to deploy PostgreSQL across AWS, Azure, and Google Cloud, implement serverless and Kubernetes-based architectures, and design for high availability, disaster recovery, and multi-region resilience. Along the way, you will explore how AI can support query optimization, anomaly detection, observability, and real-time analytics. The book also covers pgvector for semantic search, Retrieval-Augmented Generation, or RAG, for intelligent data retrieval, and in-database machine learning using PGML.

Security and compliance are addressed through practical coverage of Zero Trust models, IAM federation, and AI-enhanced threat detection. Hands-on labs, AMIs, and templates help you apply these techniques in real-world environments, from cloud-native deployments to enterprise-scale PostgreSQL operations.

By the end of the book, you will have the skills to design, secure, automate, and optimize intelligent PostgreSQL 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
  • 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.

商品描述(中文翻譯)

PostgreSQL 已不再只是一個資料庫;它是現代智慧型應用程式的核心。本書將教你如何結合進階資料庫技術、AI 驅動的自動化與多雲端策略,讓 PostgreSQL 發揮更強大的效能。

你將學習如何在 AWS、Azure 與 Google Cloud 上部署 PostgreSQL、實作 serverless 與 Kubernetes 架構,並針對高可用性、災難復原與多區域韌性進行設計。在此過程中,你也將探索 AI 如何支援查詢最佳化、異常偵測、可觀測性與即時分析。本書亦涵蓋 pgvector 的語意搜尋、用於智慧資料擷取的 Retrieval-Augmented Generation(RAG),以及使用 PGML 執行資料庫內機器學習。

本書透過 Zero Trust 模型、IAM federation 與 AI 強化的威脅偵測等實務內容,說明安全性與合規性。透過實作實驗、AMI 與範本,你可以將這些技術應用於真實環境,從 cloud-native 部署到企業規模的 PostgreSQL 維運皆涵蓋其中。

讀完本書後,你將具備在 AI 時代設計、保護、自動化與最佳化智慧型 PostgreSQL 系統所需的技能。

你將學會

• 設計橫跨 AWS、Azure 與 GCP 的多雲端 PostgreSQL 架構
• 實作 AI 驅動的查詢最佳化與異常偵測工作流程
• 使用 pgvector 與 RAG 實現語意搜尋,以及由 GenAI 驅動的資料擷取
• 使用 PGML 部署資料庫內機器學習
• 透過 Zero Trust、IAM federation 與 AI 強化的威脅偵測保護 PostgreSQL
• 開發並部署用於 PostgreSQL 管理的 Agentic AI
• 使用 cloud-native operators 在 Kubernetes 上管理 PostgreSQL

本書適合讀者

本書適合希望精通多雲端環境中進階 PostgreSQL 部署的資深資料庫管理員、系統架構師與雲端工程師。對於希望整合 AI 驅動工作流程、最佳化效能,並為企業級與即時應用程式建構安全且可擴充資料庫系統的專業人士而言,本書也是理想選擇。

作者簡介

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.

作者簡介(中文翻譯)

Venkateswara Vadlamani 是一位經驗豐富的資料庫專業人士,擁有超過 30 年擔任資料庫管理員與系統管理員的專業經驗。他曾為位於新加坡、澳洲及美國的《財星》500 大企業,提供高可用性、分散式資料庫與即時資料同步解決方案。

Vadlamani 擁有 Solaris Certified System Administrator、Oracle Certified DBA 及 AWS Certified Solutions Architect 認證,並取得資訊科技 MBA 學位。目前,他在南加州擔任資深 Oracle 與 PostgreSQL 顧問,專注於在 Linux 作業系統上,結合人工智慧(Artificial Intelligence),於 AWS、Azure 與 Google Cloud 實作 PostgreSQL 專案。

本書所介紹的理念、腳本與範例,皆建基於他豐富的實務經驗,包括使用個人 AWS 帳戶在 EC2 與 RDS 上執行的專案。