Book Image

The Kubernetes Bible

By : Nassim Kebbani, Piotr Tylenda, Russ McKendrick
4 (3)
Book Image

The Kubernetes Bible

4 (3)
By: Nassim Kebbani, Piotr Tylenda, Russ McKendrick

Overview of this book

With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications. This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices. By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms.
Table of Contents (28 chapters)
1
Section 1: Introducing Kubernetes
5
Section 2: Diving into Kubernetes Core Concepts
12
Section 3: Using Managed Pods with Controllers
17
Section 4: Deploying Kubernetes on the Cloud
21
Section 5: Advanced Kubernetes

Alternatives to DaemonSets

The reason for using DaemonSets is quite simple – you would like to have exactly one Pod with a particular function on each Node in the cluster. However, sometimes you should consider different approaches that may fit your needs better:

  • In log-gathering scenarios, you need to evaluate if you want to design your log pipeline architecture based on DaemonSets or the sidecar container pattern. Both have their advantages and disadvantages, but in general, running sidecar containers may be easier to implement and be more robust, even though it may require more system resources.
  • If you just want to run periodic tasks, and you do not need to do it on each Node in the cluster, a better solution can be using Kubernetes CronJobs. Again, it is important to know what the actual use case is and whether running a separate Pod on each Node is a must-have requirement.
  • Operating system daemons (for example, provided by systemd in Ubuntu) can be used...