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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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Low-Level Server Mirroring

So far in this book, we've discussed quite an array of functionality and methodology dedicated to keeping PostgreSQL systems online. By now, we have a burgeoning menagerie of replication utilities, system monitoring tools, connection pooling layers, failover and cluster automation frameworks, and even a handful of troubleshooting tips.

We then moved on to combining several of these techniques and a few others to create a software stack that automates and protects a PostgreSQL cluster. However, despite the power demonstrated in these chapters on repmgr and Patroni, they still rely primarily on PostgreSQL replication to safeguard replicated data. If we have an extremely high transaction throughput, even PostgreSQL replication may be too slow to fully resist data loss in the event of a server outage.

So, what tools can we use to safeguard our critical...

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