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PostgreSQL 12 High Availability Cookbook

PostgreSQL 12 High Availability Cookbook

By : Shaun Thomas
4.5 (2)
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PostgreSQL 12 High Availability Cookbook

PostgreSQL 12 High Availability Cookbook

4.5 (2)
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)
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Using an outage to test availability

It's always considered good practice to test a failover procedure to prove that it functions as designed. There are a lot of moving parts in the cluster design discussed in this chapter, and an errant setting in PostgreSQL, repmgr, SSH, the VIP, network hardware, or any number of other influences can impact automation.

Testing helps reveal potential problem areas in a procedure, demonstrates average event durations, and serves as practice for when unexpected outages actually occur. The easiest way to test a cluster is to stop PostgreSQL on the primary server, which should trigger repmgr on other nodes to hold an election and promote the standby.

This recipe will demonstrate a simple failover procedure caused by stopping PostgreSQL, but also more advanced techniques to test operation during a network outage.

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