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PostgreSQL 13 Cookbook

You're reading from   PostgreSQL 13 Cookbook Over 120 recipes to build high-performance and fault-tolerant PostgreSQL database solutions

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781838648138
Length 344 pages
Edition 1st Edition
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Author (1):
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Vallarapu Naga Avinash Kumar Vallarapu Naga Avinash Kumar
Author Profile Icon Vallarapu Naga Avinash Kumar
Vallarapu Naga Avinash Kumar
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Table of Contents (14) Chapters Close

Preface 1. Cluster Management Fundamentals 2. Cluster Management Techniques FREE CHAPTER 3. Backup and Recovery 4. Advanced Replication Techniques 5. High Availability and Automatic Failover 6. Connection Pooling and Load Balancing 7. Securing through Authentication 8. Logging and Analyzing PostgreSQL Servers 9. Critical Services Monitoring 10. Extensions and Performance Tuning 11. Upgrades and Patches 12. About Packt 13. Other Books You May Enjoy

Collecting PostgreSQL metrics using postgres_exporter

Now that we have discussed how to collect operating system-level metrics using node_exporter in the previous recipe, we shall discuss how we can collect PostgreSQL metrics using postgres_exporter in this recipe. postgres_exporter has to be installed on the PostgreSQL server.

Getting ready

In order to expose PostgreSQL metrics using postgres_exporter, we should have a database user that is able to connect to the target database being used by the exporter in the connection string. Additionally, the port using which the metrics are visible should be open for the Prometheus data source to access it.

The following is the GitHub URL of postgres_exporter: https://github.com/wrouesnel/postgres_exporter.

How to do it...

The postgres_exporter installation and setup are done on the PostgreSQL database server only. Thus, all the following steps in this section, unless when explicitly specified, need to be done on the PostgreSQL server:

  1. Install...
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