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


A DBA managing a highly-available database server is charged with a huge responsibility. The amount of integration, speed of operations, and urgency behind resolving performance degradation can be extremely stressful. Some personalities thrive under this kind of pressure, while others will find it impossible to concentrate and will become paralyzed in fear.

We're not going to claim that every DBA in this position is a battle-weary veteran, typing furiously to save the day while disaster looms. This kind of scenario only exists in movies and often leads to compounding the original problem. In reality, a DBA's job includes many more calculated reactions even when managing a transaction-heavy database with frightfully low tolerance for downtime. The best tip we can give and the whole reason behind this book is to have an expansive bag of tricks.

For the purposes of this chapter, our bag is full of common Linux utilities useful for troubleshooting. With them, we approach system malfunctions...