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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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Toc

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

Adding metrics exposed by postgres_exporter to Prometheus

Now that we have started postgres_exporter on the Postgres server, we should tell Prometheus to collect the metrics and store them on the Prometheus database in regular intervals (defaults to 15 seconds). In this recipe, we shall see how the metrics being exposed by the Postgres exporter are collected by Prometheus on the monitoring server.

Getting ready

In order to add a collection of metrics, postgres_exporter must be started in the Postgres server. Additionally, the port on which the metrics are being exposed must be open for the Prometheus server. Else, the metrics cannot be stored or collected in regular intervals by Prometheus.

How to do it...

We will collect and store the metrics as follows:

  1. Add the Postgres server and the port used by postgres_exporter as a target to the prometheus.yml file:
- targets: ['192.168.29.20:9187']

scrape_configs, after adding node_exporter and postgres_exporter, looks like the following...

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