Book Image

PostgreSQL 12 High Availability Cookbook - Third Edition

By : Shaun Thomas
Book Image

PostgreSQL 12 High Availability Cookbook - Third Edition

By: Shaun Thomas

Overview of this book

Databases are nothing without the data they store. In the event of an outage or technical catastrophe, immediate recovery is essential. This updated edition ensures that you will learn the important concepts related to node architecture design, as well as techniques such as using repmgr for failover automation. From cluster layout and hardware selection to software stacks and horizontal scalability, this PostgreSQL cookbook will help you build a PostgreSQL cluster that will survive crashes, resist data corruption, and grow smoothly with customer demand. You’ll start by understanding how to plan a PostgreSQL database architecture that is resistant to outages and scalable, as it is the scaffolding on which everything rests. With the bedrock established, you'll cover the topics that PostgreSQL database administrators need to know to manage a highly available cluster. This includes configuration, troubleshooting, monitoring and alerting, backups through proxies, failover automation, and other considerations that are essential for a healthy PostgreSQL cluster. Later, you’ll learn to use multi-master replication to maximize server availability. Later chapters will guide you through managing major version upgrades without downtime. By the end of this book, you’ll have learned how to build an efficient and adaptive PostgreSQL 12 database cluster.
Table of Contents (17 chapters)

Determining acceptable losses

We know that the PostgreSQL database will be offline at some point in the future. Maybe we need an upgrade to remove a critical security vulnerability or address a potential data corruption issue. Perhaps a RAM module is producing errors and requires immediate replacement. Maybe the primary data center was struck by lightning.

No matter the reason, we need to make decisions quickly. A helpful way to ensure adaptability is to base our decision-making process on user expectations for various levels of liability and context. The QA department will not require the same response level as 10,000 shoppers who can't make a holiday purchase during a critically limited sale.

System outage and response escalation expectations are generally codified in a service-level agreement (SLA). How long should the maintenance last? How often should planned outages...