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Oracle Linux Cookbook

You're reading from   Oracle Linux Cookbook Embrace Oracle Linux and master Linux Server Management

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Product type Paperback
Published in Jan 2024
Publisher Packt
ISBN-13 9781803249285
Length 548 pages
Edition 1st Edition
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Authors (3):
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Erik Benner Erik Benner
Author Profile Icon Erik Benner
Erik Benner
Mr. Jonathan Spindel Mr. Jonathan Spindel
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Mr. Jonathan Spindel
Erik B. Thomsen Erik B. Thomsen
Author Profile Icon Erik B. Thomsen
Erik B. Thomsen
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Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Oracle Linux 8 – Get It? Got It? Good! 2. Chapter 2: Installing with and without Automation Magic FREE CHAPTER 3. Chapter 3: Exploring the Various Boot Options and Kernels in Oracle Linux 4. Chapter 4: Creating and Managing Single-Instance Filesystems 5. Chapter 5: Software Management with DNF 6. Chapter 6: Eliminating All the SPOFs! An Exercise in Redundancy 7. Chapter 7: Oracle Linux 8 – Patching Doesn’t Have to Mean Rebooting 8. Chapter 8: DevOps Automation Tools – Terraform, Ansible, Packer, and More 9. Chapter 9: Keeping the Data Safe – Securing a System 10. Chapter 10: Revisiting Modules and AppStreams 11. Chapter 11: Lions, Tigers, and Containers – Oh My! Podman and Friends 12. Chapter 12: Navigating Ansible Waters 13. Chapter 13: Let’s All Go to the Cloud 14. Index 15. Other Books You May Enjoy

Containerized databases

This recipe discusses best practices regarding the use of containerized databases.

Getting ready

We will require the following:

  • Oracle Linux
  • Podman

How to do it…

Containers make databases a much easier pill to swallow for your everyday application deployments. There’s not a lot to discuss in this recipe, but there are a few best practices with containerized databases that will definitely be useful to know about.

Do one thing and one thing only

Just as a core principle of containers is to do one thing and one thing only, the same principle applies to containerized databases. What do I mean by that? Well, for starters, you might be inclined to launch a containerized database and subsequently create multiple schemas within that database and/or multiple databases within that single container. Let’s say you have several applications that require a MySQL database, then it probably seems like a good idea to have...

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