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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

Configuring Node Exporter on Postgres servers to monitor operating system metrics

In the previous two recipes, we have seen the steps involved in installing Grafana to visualize the metrics and Prometheus to store the metrics. In this recipe, we shall discuss an exporter that can collect some kernel-level diagnostic data from a PostgreSQL server and store it in a Prometheus database.

Node Exporter is an open source exporter that exposes a wide variety of operating system kernel-level metrics, such as CPU, memory, storage, I/O, and so on. It needs to run on each PostgreSQL server being monitored, if interested in operating system-level metrics. In this recipe, we shall see how node_exporter can be configured to expose operating system kernel-level information.

Getting ready

In order to use node_exporter following the steps discussed in this recipe, we should have a PostgreSQL server running on a Linux operating system. The port being used by Node Exporter to expose the operating system...

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