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The Complete Kubernetes Guide 상세페이지

The Complete Kubernetes Guide

Become an expert in container management with the power of Kubernetes

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  • 2019.05.20 전자책 출간
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  • PDF
  • 616 쪽
  • 14.3MB
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  • PC뷰어
  • PAPER
ISBN
9781838647704
ECN
-
The Complete Kubernetes Guide

작품 정보

▶What You Will Learn
- Download, install, and configure the Kubernetes code base
- Create and configure custom Kubernetes resources
- Use third-party resources in your automation workflows
- Deliver applications as standard packages
- Set up and access monitoring and logging for Kubernetes clusters
- Set up external access to applications running in the cluster
- Manage and scale Kubernetes with hosted platforms on Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)
- Run multiple clusters and manage them from a single control plane

▶Key Features
- Gain insight into the latest features of Kubernetes, including Prometheus and API aggregation
- Discover ways to keep your clusters always available, scalable, and up-to-date
- Master the skills of designing and deploying large clusters on various cloud platforms

▶Who This Book Is For
If you are a developer or a system administrator with an intermediate understanding of Kubernetes and want to master its advanced features, then this book is for you. Basic knowledge of networking is required to easily understand the concepts explained.

▶What this book covers
- Chapter 1, Introduction to Kubernetes, is a brief overview of containers and the how, what, and why of Kubernetes orchestration, exploring how it impacts your business goals and everyday operations.

- Chapter 2, Understanding Kubernetes Architecture, will help you understand the design of the Kubernetes systems and appreciate why some of these design choices have been made.

- Chapter 3, Building a Foundation with Core Kubernetes Constructs, uses a few simple examples to explore core Kubernetes constructs, namely pods, services, replication controllers, replica sets, and labels. Basic operations, including health checks and scheduling, will also be covered.

- Chapter 4, Working with Networking, Load Balancers, and Ingress, covers cluster networking for Kubernetes and the Kubernetes proxy. It also takes a deeper dive into services and shows a brief overview of some higher-level isolation features for multi-tenancy.

- Chapter 5, Using Critical Kubernetes Resources, will help you use almost all the latest Kubernetes resources for appropriate use cases in production. You will also learn how to define, version, and deliver them.

- Chapter 6, Exploring Kubernetes Storage Concepts, covers storage concerns and persistent data across pods and the container life cycle. We will also look at new constructs for working with stateful applications in Kubernetes.

- Chapter 7, Monitoring and Logging, teaches how to use and customize built-in and thirdparty monitoring tools on your Kubernetes cluster. We will look at built-in logging and monitoring, the Google Cloud Monitoring/Logging service, and Sysdig.

- Chapter 8, Monitoring, Logging, and Troubleshooting, will help you set up and understand monitoring and metering in Kubernetes clusters, and will enable you to identify and troubleshoot typical problems that administrators encounter during day-to-day operations.

- Chapter 9, Operating Systems, Platforms, and Cloud and Local Providers, starts off by covering Open Container Project and its mission to provide an open container specification, looking at how having open standards encourages a diverse ecosystem of container implementations (such as Docker, rkt, Kurma, and JetPack). The second half of this chapter will cover available OSes, such as CoreOS, Project Atomic, and their advantages as a host OSes, including performance and support for various container implementations.

- Chapter 10, Creating Kubernetes Clusters, will make you understand the different options for creating Kubernetes clusters. You will create several clusters using the tools and examine the clusters.

- Chapter 11, Cluster Federation and Multi-Tenancy, explores the new federation capabilities and how to use them to manage multiple clusters. We will also cover the federated version of the core constructs and the integration to public cloud vendor DNS.

- Chapter 12, Cluster Authentication, Authorization, and Container Security, get into the options for container security, from the container run-time level to the host itself. We will discuss how to apply these concepts to workloads running in a Kubernetes cluster and some of the security concerns and practices that relate specifically to running your Kubernetes cluster.

- Chapter 13, Running Stateful Applications with Kubernetes, will teach you how to transform monolithic stateful applications to microservices running on Kubernetes, suitable for production workload. They will also learn several ways that this can be done with or without the PetSet resource prior to Kubernetes release 1.3. You will be able to fill in the gaps in the available documentation resources.

- Chapter 14, Rolling Updates, Scalability, and Quotas, will teach you how rolling updates and horizontal pod autoscaling behave. You will learn how to customize and run scaling testing at production environment. You will be able to use resource quotas for CPU and memory.

- Chapter 15, Advanced Kubernetes Networking, will help you determine which networking plugin is suitable in different deployments, and you will learn how to deploy Kubernetes with different network plugins. You will be able to understand iptables load balancing and how to extend them.

- Chapter 16, Kubernetes Infrastructure Management, focuses on how to make changes to the infrastructure that powers your Kubernetes infrastructure, whether it be a purely public cloud platform or a hybrid installation. We'll discuss methods for handling underlying instance and resource instability, and strategies for running highly available workloads on the partially available underlying hardware.

- Chapter 17, Customizing Kubernetes – API and Plugins, will help you implement third-party resources, understand concepts of enhancing the Kubernetes API, and show you how to integrate resources with existing environments. You will learn how schedulers work and how to implement your own scheduling engine. Finally, you will also learn how to implement custom external load balancing for on-premise deployments based on common services such as haproxy or nginx.

- Chapter 18, Handling the Kubernetes Package Manager, explains how to handle Kubernetes applications as packages. The chapter starts with Helm Classic and goes through Helm for Kubernetes, and finally covers real-world examples of how to create and update packages in a Helm repository in order to be able to maintain them for production application deployments.

- Chapter 19, The Future of Kubernetes, will help you create your own Kubernetes packages and store them in Helm repository. You will get an understanding of delivery pipelines for Kubernetes packages, from repositories to clusters.

작가 소개

▶About the Author
- Jonathan Baier,
Jonathan Baier is an emerging technology leader living in Brooklyn, New York. He has had a passion for technology since an early age. When he was 14 years old, he was so interested in the family computer (an IBM PCjr) that he pored over the several hundred pages of BASIC and DOS manuals. Then, he taught himself to code a very poorly-written version of Tic-Tac-Toe. During his teenage years, he started a computer support business. Throughout his life, he has dabbled in entrepreneurship. He currently works as Senior Vice President of Cloud Engineering and Operations for Moody's corporation in New York.

- Gigi Sayfan
Gigi Sayfan is a principal software architect at Helix a bioinformatics and genomics start-up and author of Mastering Kubernetes. Gigi 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 and virtual reality. He has written production code in many programming languages such as Go, Python, C, C++, C#, Java, Delphi, JavaScript, and even Cobol and PowerBuilder for operating systems such as Windows (3.11 through 7), Linux, Mac OS, Lynx (embedded), and Sony PlayStation. His technical expertise includes databases, low-level networking, distributed systems, unorthodox user interfaces, and general software development life cycle.

- Jesse White
Jesse White is a 15-year veteran and technology leader in New York City's very own Silicon Alley, where he is a pillar of the vibrant engineering ecosystem. As founder of DockerNYC and an active participant in the open source community, you can find Jesse at a number of leading industry events, including DockerCon and VelocityConf, giving talks and workshops

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