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Kubernetes in Production Best Practices

Kubernetes in Production Best Practices

By : Saleh, Karslioglu
5 (9)
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Kubernetes in Production Best Practices

Kubernetes in Production Best Practices

5 (9)
By: Saleh, Karslioglu

Overview of this book

Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production. You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you’ll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure. By the end of this book, you’ll be able to leverage Kubernetes to operate and manage your production environments confidently.
Table of Contents (12 chapters)
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Chapter 9: Monitoring, Logging, and Observability

In previous chapters, we learned about application deployment best practices on Kubernetes to modernize our architecture. We learned how Kubernetes creates an abstraction layer on top of a group of container hosts that makes it easier to deploy applications and, at the same time, changes development teams' responsibilities compared to traditional monolithic applications. Adopting microservice architectures requires implementing new observability practices to efficiently monitor the layers introduced by the Kubernetes platform. Whether you plan to expand your existing monitoring stack to include Kubernetes or are looking for a complete cloud-native solution, it is essential to know the critical metrics to monitor and create a strategy to enhance observability to troubleshoot and take effective action when needed.

In this chapter, we will discuss the vital infrastructure components and Kubernetes object metrics. We will understand...

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