Book Image

PostgreSQL 14 Administration Cookbook

By : Simon Riggs, Gianni Ciolli
5 (1)
Book Image

PostgreSQL 14 Administration Cookbook

5 (1)
By: Simon Riggs, Gianni Ciolli

Overview of this book

PostgreSQL is a powerful, open-source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 14 allows you to scale up your PostgreSQL infrastructure. With this book, you'll take a step-by-step, recipe-based approach to effective PostgreSQL administration. This book will get you up and running with all the latest features of PostgreSQL 14 while helping you explore the entire database ecosystem. You’ll learn how to tackle a variety of problems and pain points you may face as a database administrator such as creating tables, managing views, improving performance, and securing your database. As you make progress, the book will draw attention to important topics such as monitoring roles, validating backups, regular maintenance, and recovery of your PostgreSQL 14 database. This will help you understand roles, ensuring high availability, concurrency, and replication. Along with updated recipes, this book touches upon important areas like using generated columns, TOAST compression, PostgreSQL on the cloud, and much more. By the end of this PostgreSQL book, you’ll have gained the knowledge you need to manage your PostgreSQL 14 database efficiently, both in the cloud and on-premise.
Table of Contents (14 chapters)

Cloud-native monitoring

Prometheus is the tool of choice from the Cloud Native Computing Foundation, so we'll discuss it here. Prometheus is an open source monitoring and alerting toolkit that allows multiple types of systems to feed it monitoring data. An open source Prometheus exporter is available for PostgreSQL, though this is not always needed. For example, EDB's Cloud Native Postgres Operator integrates a Prometheus exporter into the Kubernetes operator to provide better security and avoid the need for a separate component in your architecture.

Data from Prometheus is displayed using Grafana. Data from Prometheus can also be stored inside a database and there are various options there for storing data inside PostgreSQL or other systems:

Figure 8.1 – Grafana view of PostgreSQL metrics

Remember that the key to successful monitoring is not the tool you use but what information you display with it.