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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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Debugging with strace

Sometimes, the only way to truly observe a server process is by using the kernel itself. This kind of data is invaluable for troubleshooting or research into PostgreSQL activity.

The Linux strace utility provides detailed system trace data for any process or service running on the server. For use with PostgreSQL, this utility means we can target the database itself or any of the background processes it uses for maintenance.

Perhaps more importantly, we can debug or examine any client connection. Is the network connection permanently hung? Is the client sending thousands of simple SQL requests instead of bulk-handling the results of a single large query? The strace command output is both intricate and verbose. This recipe will use strace to inspect our server and see what we can discover.

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