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)

Load balancing options

Load balancing is a critical capability in dynamic systems such as a Kubernetes cluster. Nodes, VMs, and pods come and go, but the clients can't keep track of which individual entities can service their requests. Even if they could, it would require a complicated dance of managing a dynamic map of the cluster, refreshing it frequently, and handling disconnected, unresponsive, or just slow nodes. Load balancing is a battle-tested and well-understood mechanism that adds a layer of indirection that hides the internal turmoil from the clients or consumers outside the cluster. There are options for external as well as internal load balancers. You can also mix and match and use both. The hybrid approach has its own particular pros and cons, such as performance versus flexibility.

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