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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
Tools
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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

Summary

In this chapter, we explored the components of container images, best practices for creating container images, and choosing the right base image type. We reduced our container image size by removing unnecessary files and using multistage builds. We learned how to scan our container images for vulnerabilities proactively. We learned about application deployment strategies to test and roll out new features and releases of our applications. We created an HPA to scale our applications. All the recommendations and best practices mentioned in this chapter help us reduce the attack surface and increase stability to improve efficiency in our production environment.

In the next chapter, we will learn about Kubernetes observability and key metrics to monitor in production. We will learn about the tools and stacks to use or build, compare the best tools in the ecosystem, and learn how to deal with observability from a site reliability perspective.

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