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The Kubernetes Bible

You're reading from   The Kubernetes Bible The definitive guide to deploying and managing Kubernetes across cloud and on-prem environments

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835464717
Length 720 pages
Edition 2nd Edition
Languages
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Authors (2):
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Gineesh Madapparambath Gineesh Madapparambath
Author Profile Icon Gineesh Madapparambath
Gineesh Madapparambath
Russ McKendrick Russ McKendrick
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Russ McKendrick
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Toc

Table of Contents (24) Chapters Close

Preface 1. Kubernetes Fundamentals FREE CHAPTER 2. Kubernetes Architecture – from Container Images to Running Pods 3. Installing Your First Kubernetes Cluster 4. Running Your Containers in Kubernetes 5. Using Multi-Container Pods and Design Patterns 6. Namespaces, Quotas, and Limits for Multi-Tenancy in Kubernetes 7. Configuring Your Pods Using ConfigMaps and Secrets 8. Exposing Your Pods with Services 9. Persistent Storage in Kubernetes 10. Running Production-Grade Kubernetes Workloads 11. Using Kubernetes Deployments for Stateless Workloads 12. StatefulSet – Deploying Stateful Applications 13. DaemonSet – Maintaining Pod Singletons on Nodes 14. Working with Helm Charts and Operators 15. Kubernetes Clusters on Google Kubernetes Engine 16. Launching a Kubernetes Cluster on Amazon Web Services with Amazon Elastic Kubernetes Service 17. Kubernetes Clusters on Microsoft Azure with Azure Kubernetes Service 18. Security in Kubernetes 19. Advanced Techniques for Scheduling Pods 20. Autoscaling Kubernetes Pods and Nodes 21. Advanced Kubernetes: Traffic Management, Multi-Cluster Strategies, and More 22. Other Books You May Enjoy 23. Index

The adapter design pattern

As its name suggests, the adapter design pattern is going to adapt an entry from a source format to a target format.

As with the ambassador and sidecar design patterns, this one expects that you run at least two containers:

  • The first one is the main container.
  • The second one is the adapter container.

This design pattern is helpful and should be used whenever the main containers emit data in a format, A, that should be sent to another application that is expecting the data in another format, B. As the name suggests, the adapter container is here to adapt.

Again, this design pattern is especially well suited for log or monitoring management. Imagine a Kubernetes cluster where you have dozens of applications running; they are writing logs in Apache format, which you need to convert into JSON so that they can be indexed by a search engine. This is exactly where the adapter design pattern comes into play. Running an adapter...

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