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

Customizing a Graphite graph

Graphite graphs are very helpful in their default form, even though they simply reflect the data they can access. One of the less obvious features that Graphite offers is data transformation. Graphite has several choices for line and background colors, legend names, and so on. We can calculate moving averages, standard deviations, and logs.

There is a lot of extra functionality available in Graphite, and only exploration will truly unveil much of it. We'll introduce a few basic examples in this recipe.

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.

How to do it...

Follow these instructions to apply several transformations to a simple graph:

  1. Direct a web browser at the monitor server on port 8080.
  2. Click on the Graphite and collectd links on the left pane.
  3. Click on the name of the server to view...