Mastering Kubernetes Third Edition

Level up your container orchestration skills with Kubernetes to build, run, secure, and observe large-scale distributed apps

Gigi Sayfan 지음

Packt(GCO Science) 2020년 06월 30일 출간

작품소개

책소개

Go beyond simply learning Kubernetes fundamentals and its deployment, and explore more advanced concepts, including serverless computing and service meshes with the latest updates

▶Book Description
The third edition of Mastering Kubernetes is updated with the latest tools and code enabling you to learn Kubernetes 1.18's latest features. This book primarily concentrates on diving deeply into complex concepts and Kubernetes best practices to help you master the skills of designing and deploying large clusters on various cloud platforms.

The book trains you to run complex stateful microservices on Kubernetes including advanced features such as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backend. With the two new chapters, you will gain expertise in serverless computing and utilizing service meshes.

As you proceed through the chapters, you will explore different options for network configuration and learn to set up, operate, and troubleshoot Kubernetes networking plugins through real-world use cases. Furthermore, you will understand the mechanisms of custom resource development and its utilization in automation and maintenance workflows.

By the end of this Kubernetes book, you will graduate from an intermediate to advanced Kubernetes professional.

▶What You Will Learn
？Master the fundamentals of Kubernetes architecture and design
？Build and run stateful applications and complex microservices on Kubernetes
？Master Kubernetes Networking with load balancing options like Ingress
？Achieve high-availability Kubernetes clusters
？Improve Kubernetes observability with tools like Prometheus, Grafana, and Jaeger
？Extend Kubernetes working with Kubernetes API, plugins, and webhooks

▶Key Features
？Master Kubernetes architecture and design to build and deploy secure distributed applications
？Learn advanced concepts like autoscaling, cluster federation, serverless computing, and service mesh integration for observability
？Explore Kubernetes 1.18 features and its rich ecosystem of tools like Kubectl, Knative, and Helm

▶Who This Book Is For
If you are a system administrator or a cloud developer with working knowledge of Kubernetes and are keen to master its advanced features, along with learning everything from building microservices to utilizing service meshes, Mastering Kubernetes is for you. Basic familiarity with networking concepts will be helpful.

목차

▶TABLE of CONTENTS
？ Chapter 1: Understanding Kubernetes Architecture
？ Chapter 2: Creating Kubernetes Clusters
？ Chapter 3: High Availability and Reliability
？ Chapter 4: Securing Kubernetes
？ Chapter 5: Using Kubernetes Resources in Practice
？ Chapter 6: Managing Storage
？ Chapter 7: Running Stateful Applications with Kubernetes
？ Chapter 8: Deploying and Updating Applications
？ Chapter 9: Packaging Applications
？ Chapter 10: Exploring Advanced Networking
？ Chapter 11: Running Kubernetes on Multiple Clouds and Cluster Federation
？ Chapter 12: Serverless Computing on Kubernetes
？ Chapter 13: Monitoring Kubernetes Clusters
？ Chapter 14: Utilizing Service Meshes
？ Chapter 15: Extending Kubernetes
？ Chapter 16: The Future of Kubernetes

책 속으로

▶What this book covers
？ Chapter 1, Understanding Kubernetes Architecture, in this chapter, we will build together the foundation necessary to utilize Kubernetes to its full potential. We will start by understanding what Kubernetes is, what Kubernetes isn't, and what container orchestration means exactly. Then we will cover important Kubernetes concepts that will form the vocabulary we will use throughout the book.

？ Chapter 2, Creating Kubernetes Clusters, in this chapter, we will roll up our sleeves and build some Kubernetes clusters using minikube, KinD, and k3d. We will discuss and evaluate other tools such as Kubeadm, Kube-spray, bootkube, and stackube. We will also look into deployment environments such as local, cloud, and bare metal.

？ Chapter 3, High Availability and Reliability, in this chapter, we will dive into the topic of highly available clusters. This is a complicated topic. The Kubernetes project and the community haven't settled on one true way to achieve high-availability nirvana. There are many aspects to highly available Kubernetes clusters, such as ensuring that the control plane can keep functioning in the face of failures, protecting the cluster state in etcd, protecting the system's data, and recovering capacity and/or performance quickly. Different systems will have different reliability and availability requirements.

？ Chapter 4, Securing Kubernetes, in this chapter, we will explore the important topic of security. Kubernetes clusters are complicated systems composed of multiple layers of interacting components. Isolation and compartmentalization of different layers is very important when running critical applications. To secure the system and ensure proper access to resources, capabilities, and data, we must first understand the unique challenges facing Kubernetes as a general-purpose orchestration platform that runs unknown workloads. Then we can take advantage of various securities, isolation, and access control mechanisms to make sure the cluster, the applications running on it, and the data are all safe. We will discuss various best practices and when it is appropriate to use each mechanism.

？ Chapter 5, Using Kubernetes Resources in Practice, in this chapter, we will design a fictional massive-scale platform that will challenge Kubernetes' capabilities and scalability. The Hue platform is all about creating an omniscient and omnipotent digital assistant. Hue is a digital extension of you. Hue will help you do anything, find anything, and, in many cases will do a lot on your behalf. It will obviously need to store a lot information, integrate with many external services, respond to notifications and events, and be smart about interacting with you.

？ Chapter 6, Managing Storage, in this chapter, we'll look at how Kubernetes manages storage. Storage is very different from compute, but at a high level they are both resources. Kubernetes as a generic platform takes the approach of abstracting storage behind a programming model and a set of plugins for storage providers.

？ Chapter 7, Running Stateful Applications with Kubernetes, in this chapter, we will learn how to run stateful applications on Kubernetes. Kubernetes takes a lot of work out of our hands by automatically starting and restarting pods across the cluster nodes as needed, based on complex requirements and configurations such as namespaces, limits, and quotas. But when pods run storage-aware software, such as databases and queues, relocating a pod can cause the system to break.

？ Chapter 8, Deploying and Updating Applications, in this chapter, we will explore the automated pod scalability that Kubernetes provides, how it affects rolling updates, and how it interacts with quotas. We will touch on the important topic of provisioning and how to choose and manage the size of the cluster. Finally, we will go over how the Kubernetes team improved the performance of Kubernetes and ...

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▶ Preface
Kubernetes is an open source system that automates the deployment, scaling, and management of containerized applications. If you are running more than just a few containers or want to automate the management of your containers, you need Kubernetes. This book focuses on guiding you through the advanced management of Kubernetes clusters.

The book begins by explaining the fundamentals behind Kubernetes' architecture and covers Kubernetes' design in detail. You will discover how to run complex stateful microservices on Kubernetes, including such advanced features as horizontal pod autoscaling, rolling updates, resource quotas, and persistent storage backends. Using real-world use cases, you will explore the options for network configuration and understand how to set up, operate, secure, and troubleshoot Kubernetes clusters. Finally, you will learn about advanced topics such as custom resources, API aggregation, service meshes, and serverless computing. All the content is up to date and complies with Kubernetes 1.18. By the end of this book, you'll know everything you need to know to go from intermediate to advanced level.

작가정보

저자(글) Gigi Sayfan

Gigi Sayfan has been developing software professionally for more than 20 years in domains as diverse as instant messaging, morphing, chip fabrication process control, embedded multimedia applications for game consoles, brain-inspired machine learning, custom browser development, web services for 3D distributed game platforms, IoT sensors, virtual reality and genomics.