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

Creating a Graphite dashboard

Perhaps, we have saved the best Graphite feature for last. A major concern when monitoring the activity of a highly-available PostgreSQL server is that of visibility. So far, we've seen that Graphite makes data visible and offers a lot of customization. However, we still need a solution to view multiple graphs at once.

This at-a-glance usage is invaluable for watching several servers at once or viewing multiple aspects of a single server in depth. Thankfully, Graphite has us covered in this regard and provides a robust dashboard view specifically for viewing multiple graphs simultaneously.

Let's explore this final exciting feature.

Getting ready

In this recipe, we will be combining the results of all the previous recipes related to collectd and Graphite. We recommend that you have a functional monitor server configured, as discussed in those recipes. We also recommend that you create at least one saved graph that we can load in the dashboard we construct.

How to...