Book Image

Mastering Kubernetes - Second Edition

By : Gigi Sayfan
Book Image

Mastering Kubernetes - Second Edition

By: Gigi Sayfan

Overview of this book

Kubernetes is an open source system that is used to automate the deployment, scaling, and management of containerized applications. If you are running more containers or want automated management of your containers, you need Kubernetes at your disposal. To put things into perspective, Mastering Kubernetes walks you through the advanced management of Kubernetes clusters. To start with, you will learn the fundamentals of both Kubernetes architecture and Kubernetes design in detail. You will discover how to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. Using real-world use cases, you will explore the options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you will get to grips with custom resource development and utilization in automation and maintenance workflows. To scale up your knowledge of Kubernetes, you will encounter some additional concepts based on the Kubernetes 1.10 release, such as Promethus, Role-based access control, API aggregation, and more. By the end of this book, you’ll know everything you need to graduate from intermediate to advanced level of understanding Kubernetes.
Table of Contents (16 chapters)

Service meshes and serverless frameworks

Kubernetes helps with a lot of the heavy lifting involved in container orchestration and cost reduction due to efficient scheduling. But, there are two trends that gain momentum in cloud native world. Service meshes fit Kubernetes like a glove, and running a serverless framework plays to Kubernetes strengths as well.

Service meshes

A service mesh operates at a higher level than container orchestration. A service mesh manages services. The service mesh provides various capabilities that are very necessary when running systems with hundreds and thousands different services such as:

  • Dynamic routing
  • Latency-aware east-west load balancing (inside the cluster)
  • Auto retries of idempotent...