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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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Installing common statistics packages

There are several common data-gathering tools, and each of them has its own place. Several are already installed for extremely basic information, but for the purposes of this chapter, we need more depth.

For instance, we may want to know the exact distribution of CPU resources, aggregate views of memory paging volume, or disk I/O utilization. For more in-depth needs, we could analyze specific processes for storage interaction or resource locks. If we weren't watching at the exact time a problem occurred, we might want a historical record of various server performance metrics.

In order to have all these capabilities, we must first install the requisite tools. We might find it quite shocking that these tools are not installed by default, considering their role in server administration. This recipe will help ensure basic diagnostic tools...

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