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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

Understanding the challenges with Kubernetes observability

In this section, we will learn the differences between monitoring and observability from a Kubernetes perspective. We will retain the key metrics we need to monitor to resolve outages quickly. Before discussing the best practices and getting into our monitoring options, let's learn what are considered important metrics in Kubernetes.

Exploring the Kubernetes metrics

When we explored the components of container images in Chapter 8, Deploying Seamless and Reliable Applications, we also compared the monolithic and microservices architectures and learned about the function of a container host. When we containerize an application, our container host (2) needs to run a container runtime (4) and Kubernetes layers (5) on top of our OS to orchestrate scheduling of the Pod. Then our container images are (6) scheduled on Kubernetes nodes. During the scheduling operation, the state of the application running on these new layers...

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