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This book provides a comprehensive approach to manage PostgreSQL cluster databases on Amazon Web Services and Azure Web Services on the cloud, as well as in Docker and container environments on a Red Hat operating system. Furthermore, detailed references for managing PostgreSQL on both Windows and Mac are provided. This book condenses all the fundamental and essential concepts you need to manage a PostgreSQL cluster into a one-stop guide that is perfect for newcomers to Postgres database administration.
Each chapter of the book provides historical context and documents version changes of
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Produktbeschreibung
This book provides a comprehensive approach to manage PostgreSQL cluster databases on Amazon Web Services and Azure Web Services on the cloud, as well as in Docker and container environments on a Red Hat operating system. Furthermore, detailed references for managing PostgreSQL on both Windows and Mac are provided. This book condenses all the fundamental and essential concepts you need to manage a PostgreSQL cluster into a one-stop guide that is perfect for newcomers to Postgres database administration.

Each chapter of the book provides historical context and documents version changes of the PostgreSQL cluster, elucidates practical "how-to" methods, and includes illustrations and key word definitions, practices for application, a summary of key learnings, and questions to reinforce understanding. The book also outlines a clear study objective with a weekly learning schedule and hundreds of practice exercises, along with questions and answers.

With its comprehensive and practical approach, this book will help you gain the confidence to manage all aspects of a PostgreSQL cluster in critical production environments so you can better support your organization's database infrastructure on the cloud and in containers.

What You Will Learn
Install and configure Postgres clusters on the cloud and in containers, monitor database logs, start and stop databases, troubleshoot, tune performance, backup and recover, and integrate with Amazon S3 and Azure Data BlobManage Postgres databases on Amazon Web Services and Azure Web Services on the cloud, as well as in Docker and container environments on a Red Hat operating systemAccess sample references to scripting solutions and database management tools for working with Postgres, Redshift (based on Postgres 8.2), and DockerCreate Amazon Machine Images (AMI) and Azure Images for managing a fleet of Postgres clusters on the cloudReinforce knowledge with a weekly learning schedule and hundreds of practice exercises, along with questions and answersProgress from simple concepts, such as how to choose the correct instance type, to creating complex machine imagesGain access to an Amazon AMI with a DBA admin tool, allowing you to learn Postgres, Redshift, and Docker in a cloud environmentRefer to a comprehensive summary of documentations of Postgres, Amazon Web services, Azure Web services, and Red Hat Linux for managing all aspects of Postgres cluster management on the cloud

Who This Book Is For

Newcomers to PostgreSQL database administration and cross-platform support DBAs looking to master PostgreSQL on the cloud.

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Autorenporträt
Venkat Vadlamani is an experienced database professional with a career spanning over 30 years as Database Administrator and System Administrator. He has provided solutions for high availability, distributed databases, and real-time data synchronization requirements for fortune corporations in Singapore, Australia, and the United States. Venkat holds certifications as a Solaris Certified System Administrator, Oracle Certified DBA, and AWS Certified Solution Architect. In addition, he holds an MBA degree in Information Technology. Currently, Venkat serves as a Senior Oracle and PostgreSQL Consultant , where he focuses on implementing PostgreSQL projects on AWS cloud and Red Hat OpenShift environments in Southern California. The ideas, scripts, and exhibits presented in this book are derived from Venkat's extensive experience, utilizing his personal AWS account on EC2 and RDS.