Book Image

PostgreSQL High Availability Cookbook - Second Edition

By : Shaun Thomas
Book Image

PostgreSQL High Availability Cookbook - Second Edition

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 (18 chapters)
Title Page
About the Author
About the Reviewer
Customer Feedback

Managing software upgrades

Software in the server space is normally fairly stable. However, elements such as security updates and bug fixes must be applied. Highly-available servers can't be stopped often, but without important upgrades, they could crash or experience a breach, which would be far more serious.

Then how do we ensure that updates can be applied safely while maintaining consistent availability? Once again, this often comes down to preparation. We prepare by having duplicate online data copies and by abstracting access paths. With architecture like this in place, we can switch to a backup server while upgrading the primary; thus, the database never actually goes offline.

We'll explore this scenario here, especially as it will be a very common one.

Getting ready

For this section, we need at least one extra server with PostgreSQL installed. This server should be running a copy of our database. We can follow the Managing system migrations recipe to build a copy if we don't already...