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The Kubernetes Bible

You're reading from   The Kubernetes Bible The definitive guide to deploying and managing Kubernetes across major cloud platforms

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Product type Paperback
Published in Feb 2022
Publisher Packt
ISBN-13 9781838827694
Length 680 pages
Edition 1st Edition
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Authors (3):
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Nassim Kebbani Nassim Kebbani
Author Profile Icon Nassim Kebbani
Nassim Kebbani
Piotr Tylenda Piotr Tylenda
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Piotr Tylenda
Russ McKendrick Russ McKendrick
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Russ McKendrick
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Toc

Table of Contents (28) Chapters Close

Preface 1. Section 1: Introducing Kubernetes
2. Chapter 1: Kubernetes Fundamentals FREE CHAPTER 3. Chapter 2: Kubernetes Architecture – From Docker Images to Running Pods 4. Chapter 3: Installing Your First Kubernetes Cluster 5. Section 2: Diving into Kubernetes Core Concepts
6. Chapter 4: Running Your Docker Containers 7. Chapter 5: Using Multi-Container Pods and Design Patterns 8. Chapter 6: Configuring Your Pods Using ConfigMaps and Secrets 9. Chapter 7: Exposing Your Pods with Services 10. Chapter 8: Managing Namespaces in Kubernetes 11. Chapter 9: Persistent Storage in Kubernetes 12. Section 3: Using Managed Pods with Controllers
13. Chapter 10: Running Production-Grade Kubernetes Workloads 14. Chapter 11: Deployment – Deploying Stateless Applications 15. Chapter 12: StatefulSet – Deploying Stateful Applications 16. Chapter 13: DaemonSet – Maintaining Pod Singletons on Nodes 17. Section 4: Deploying Kubernetes on the Cloud
18. Chapter 14: Kubernetes Clusters on Google Kubernetes Engine 19. Chapter 15: Launching a Kubernetes Cluster on Amazon Web Services with Amazon Elastic Kubernetes Service 20. Chapter 16: Kubernetes Clusters on Microsoft Azure with Azure Kubernetes Service 21. Section 5: Advanced Kubernetes
22. Chapter 17: Working with Helm Charts 23. Chapter 18: Authentication and Authorization on Kubernetes 24. Chapter 19: Advanced Techniques for Scheduling Pods 25. Chapter 20: Autoscaling Kubernetes Pods and Nodes 26. Chapter 21: Advanced Traffic Routing with Ingress 27. Other Books You May Enjoy

Introducing the StatefulSet object

You may wonder why running stateful workloads in the distributed cloud is generally considered harder than stateless ones. In classic three-tier applications, all the states would be stored in a database (data tier or persistence layer) and there would be nothing special about it. For SQL servers, you would usually add a failover setup with data replication, and in case you require superior performance, you would scale vertically by simply purchasing better hardware for hosting. Then, at some point, you might think about clustered SQL solutions, introducing data sharding (horizontal data partitions). But still, from the perspective of a web server running your application, the database would be just a single connection string to read and write the data. The database would be responsible for persisting a mutable state.

Important note

Remember that every application as a whole is, in some way, stateful unless it serves static content only or just...

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