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Kubernetes in Production Best Practices

You're reading from   Kubernetes in Production Best Practices Build and manage highly available production-ready Kubernetes clusters

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Product type Paperback
Published in Mar 2021
Publisher Packt
ISBN-13 9781800202450
Length 292 pages
Edition 1st Edition
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Authors (2):
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Aly Saleh Aly Saleh
Author Profile Icon Aly Saleh
Aly Saleh
Murat Karslioglu Murat Karslioglu
Author Profile Icon Murat Karslioglu
Murat Karslioglu
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Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Introduction to Kubernetes Infrastructure and Production-Readiness 2. Chapter 2: Architecting Production-Grade Kubernetes Infrastructure FREE CHAPTER 3. Chapter 3: Provisioning Kubernetes Clusters Using AWS and Terraform 4. Chapter 4: Managing Cluster Configuration with Ansible 5. Chapter 5: Configuring and Enhancing Kubernetes Networking Services 6. Chapter 6: Securing Kubernetes Effectively 7. Chapter 7: Managing Storage and Stateful Applications 8. Chapter 8: Deploying Seamless and Reliable Applications 9. Chapter 9: Monitoring, Logging, and Observability 10. Chapter 10: Operating and Maintaining Efficient Kubernetes Clusters 11. Other Books You May Enjoy

Scaling applications and achieving higher availability

The Kubernetes container orchestration platform provides a wide range of functionality to help us deploy our applications in a scalable and highly available way. When designing architecture that will support horizontally scalable services and applications, we need to be aware of some common strategies that will help to successfully scale our applications on Kubernetes clusters.

In the previous section, Learning application deployment strategies, we covered some strategies that would help us to scale our applications, including deployment strategies and implementing health checks using container probes. In this section, we will learn about scaling applications using the Horizontal Pod Autoscaler (HPA).

When we first deploy our application on Kubernetes clusters, applications will very likely not get accessed immediately and usage will gradually increase over time. In that case, rolling out a deployment with many replicas...

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