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

Enhancing Nagios with check_mk

While Nagios is well established in the system administration community, it retains a few shortcomings due to its long legacy. This is not to suggest that Nagios is a bad platform! However, we can make it better for our own uses and for other administrators that help us monitor our database clusters.

check_mk is a popular extension to Nagios that provides a better interface, more built-in monitors, and-for those interested-a GUI management system. This management GUI is actually one of the main things we will cover in this recipe, as it has some idiosyncrasies of its own. However, once we're done presenting the basics, we encourage you to experiment with some of its more powerful features.

Getting ready

To complete this recipe, we will need a configured Nagios installation. Please follow the steps in the Installing and configuring Nagios recipe. However, either skip the Configuring Nagios to monitor a database host recipe or follow these two steps:

  1. Delete the db_conf...