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PostgreSQL High Availability Cookbook

PostgreSQL High Availability Cookbook - Second Edition

By : Shaun Thomas
5 (2)
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PostgreSQL High Availability Cookbook

PostgreSQL High Availability Cookbook

5 (2)
By: Shaun Thomas

Overview of this book

Databases are nothing without the data they store. In the event of a failure - catastrophic or otherwise - immediate recovery is essential. By carefully combining multiple servers, it’s even possible to hide the fact a failure occurred at all. From hardware selection to software stacks and horizontal scalability, this book will help you build a versatile PostgreSQL cluster that will survive crashes, resist data corruption, and grow smoothly with customer demand. It all begins with hardware selection for the skeleton of an efficient PostgreSQL database cluster. Then it’s on to preventing downtime as well as troubleshooting some real life problems that administrators commonly face. Next, we add database monitoring to the stack, using collectd, Nagios, and Graphite. And no stack is complete without replication using multiple internal and external tools, including the newly released pglogical extension. Pacemaker or Raft consensus tools are the final piece to grant the cluster the ability to heal itself. We even round off by tackling the complex problem of data scalability. This book exploits many new features introduced in PostgreSQL 9.6 to make the database more efficient and adaptive, and most importantly, keep it running.
Table of Contents (12 chapters)
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Cluster Control

In this chapter, we will learn how to automate cluster management and ensure high availability. We will cover the following recipes in this chapter:

  • Installing the necessary components
  • Configuring Corosync
  • Preparing startup services
  • Starting with base options
  • Adding DRBD to cluster management
  • Adding LVM to cluster management
  • Adding XFS to cluster management
  • Adding PostgreSQL to cluster management
  • Adding a virtual IP to hide the cluster
  • Adding an e-mail alert
  • Grouping associated resources
  • Combining and ordering related actions
  • Performing a managed resource migration
  • Using an outage to test migration
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