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PostgreSQL 13 Cookbook

You're reading from PostgreSQL 13 Cookbook Over 120 recipes to build high-performance and fault-tolerant PostgreSQL database solutions

Product type Paperback

Published in Feb 2021

Publisher Packt

ISBN-13 9781838648138

Length 344 pages

Edition 1st Edition

Languages

SQL

Tools

PostgreSQL

Concepts

Databases

Author (1):

Vallarapu Naga Avinash Kumar

View More author details

Table of Contents (14) Chapters

Preface

1. Cluster Management Fundamentals

2. Cluster Management Techniques FREE CHAPTER

3. Backup and Recovery

4. Advanced Replication Techniques

5. High Availability and Automatic Failover

6. Connection Pooling and Load Balancing

7. Securing through Authentication

8. Logging and Analyzing PostgreSQL Servers

9. Critical Services Monitoring

10. Extensions and Performance Tuning

11. Upgrades and Patches

12. About Packt

Why subscribe?

13. Other Books You May Enjoy

Technical requirements

To practice the steps discussed in these recipes, you will need a virtual machine with either the CentOS/RedHat or Debian/Ubuntu family of operating systems. If you have already got a server with PostgreSQL 13 installed, then all the commands discussed in the chapter should work for you.

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Authors (1)

Vallarapu Naga Avinash Kumar

Vallarapu Naga Avinash Kumar

Vallarapu Naga Avinash Kumar is currently working as a PostgreSQL Tech Lead at Percona. Before joining Percona, Avi worked as a Database Architect at OpenSCG for 2 Years and as a DBA Lead at Dell for 10 Years in Database technologies such as PostgreSQL, Oracle, MySQL and MongoDB. He has given several talks and trainings on PostgreSQL. He has good experience in performing Architectural Health Checks, Performance Tuning and Migrations to PostgreSQL Environments. He has also co-authored a book - Beginning PostgreSQL on Cloud that gives an introduction to building PostgreSQL on AWS, Microsoft Azure, Google Cloud and Rackspace cloud platforms. He has been a speaker at several PostgreSQL conferences in North America, Europe and Asia every year and continuing to blog on PostgreSQL.

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