[체험판] DevOps with Kubernetes
Accelerating software delivery with container orchestrators
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- 2017.10.16. 전자책 출간
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<[체험판] DevOps with Kubernetes> ▶What You Will Learn
⦁ Learn fundamental and advanced DevOps skills and tools
⦁ Get a comprehensive understanding for container
⦁ Learn how to move your application to container world
⦁ Learn how to manipulate your application by Kubernetes
⦁ Learn how to work with Kubernetes in popular public cloud
⦁ Improve time to market with Kubernetes and Continuous Delivery
⦁ Learn how to monitor, log, and troubleshoot your application with Kubernetes
⦁ Learning DevOps, container, and Kubernetes within one book.
⦁ Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently.
⦁ A practical guide towards container management and orchestration
▶Who This Book Is For
This book is targeted for anyone, who wants to learn containerization and clustering in a practical way using Kubernetes. No prerequisite skills required, however, essential DevOps skill and public/private Cloud knowledge will accelerate the reading speed. If you're advanced readers, you can also get a deeper understanding of all the tools and technique described in the book.
▶Style and approach
Readers will be taken through fundamental DevOps skills and Kubernetes concept and administration with detailed examples. It introduces comprehensive DevOps topics, including microservices, automation tools, containers, monitoring, logging, continuous delivery, and popular public cloud environments. At each step readers will learn how to leverage Kubernetes in their everyday lives and transform their original delivery pipeline for fast and efficient delivery.
▶What this book covers
⦁ Chapter 1, Introduction to DevOps, walks you through the evolution from the past to what we call DevOps today and the tools that you should know. Demand for people with DevOps skills has been growing rapidly over the last few years. It has accelerated software development and delivery speed and has also helped business agility.
⦁ Chapter 2, DevOps with Container, helps you learn the fundamentals and container orchestration. With the trend of microservices, container has been a handy and essential tool for every DevOps because of its language agnostic isolation.
⦁ Chapter 3, Getting Started with Kubernetes, explores the key components and API objects in Kubernetes and how to deploy and manage containers in a Kubernetes cluster. Kubernetes eases the pain of container orchestration with a lot of killer features, such as container scaling, mounting storage systems, and service discovery.
⦁ Chapter 4, Working with Storage and Resources, describes volume management and also explains CPU and memory management in Kubernetes. Container storage management can be hard in a cluster.
⦁ Chapter 5, Network and Security, explains how to allow inbound connection to access Kubernetes services and how default networking works in Kubernetes. External access to our services is necessary for business needs.
⦁ Chapter 6, Monitoring and Logging, shows you how to monitor a resource's usage at application, container, and node level using Prometheus. This chapter also shows how to collect logs from your applications, as well as Kubernetes with Elasticsearch, Fluentd, and
Kibana stack. Ensuring a service is up and healthy is one of the major responsibilities of DevOps.
⦁ Chapter 7, Continuous Delivery, explains how to build a Continuous Delivery pipeline with GitHub/DockerHub/TravisCI. It also explains how to manage updates, eliminate the potential impact when doing rolling updates, and prevent possible failure. Continuous Delivery is an approach to speed up your time-to-market.
⦁ Chapter 8, Cluster Administration, describes how to solve the preceding problems with the Kubernetes namespace and ResourceQuota and how to do access control in Kubernetes. Setting up administrative boundaries and access control to Kubernetes cluster are crucial to DevOps.
⦁ Chapter 9, Kubernetes on AWS, explains AWS components and shows how to provision Kubernetes on AWS. AWS is the most popular public cloud. It brings the infrastructure agility and flexibility to our world.
⦁ Chapter 10, Kubernetes on GCP, helps you understand the difference between GCP and AWS, and the benefit of running containerized applications in hosted service from Kubernetes’ perspective. Google Container Engine in GCP is a managed environment for Kubernetes.
⦁ Chapter 11, What’s Next?, introduces other similar technologies, such as Docker Swarm mode, Amazon ECS, and Apache Mesos and you’ll have an understanding of which the best approach is for your business. Kubernetes is open. This chapter will teach you how to get in touch with Kubernetes community to learn ideas from others.
⦁ This book walks you through a journey of learning fundamental concept and useful skills for DevOps, containers and Kubernetes.
⦁ Containerization is said to be the best way to implement DevOps. Google developed Kubernetes, which orchestrates containers efficiently and is considered the frontrunner in container orchestration. Kubernetes is an orchestrator that creates and manages your containers on clusters of servers. This book will guide you from simply deploying a container to administrate a Kubernetes cluster, and then you will learn how to do monitoring, logging, and continuous deployment in DevOps. The initial stages of the book will introduce the fundamental DevOps and the concept of containers. It will move on to how to containerize applications and deploy them into. The book will then introduce networks in Kubernetes. We then move on to advanced DevOps skills such as monitoring, logging, and continuous deployment in Kubernetes. It will proceed to introduce permission control for Kubernetes resources via attribute-based access control and role-based access control. The final stage of the book will cover deploying and managing your container clusters on the popular public cloud Amazon Web Services and Google Cloud Platform. At the end of the book, other orchestration frameworks, such as Docker Swarm mode, Amazon ECS, and Apache Mesos will be discussed.
⦁ Hideto Saito
Hideto Saito has around 20 years of experience in the computer industry. In 1998, while working for Sun Microsystems Japan, he was impressed with Solaris OS, OPENSTEP, and Sun Ultra Enterprise 10000 (AKA StarFire). Then, he decided to pursue the UNIX and MacOS X operating systems.
In 2006, he relocated to Southern California as a software engineer to develop products and services running on Linux and MacOS X. He was especially renowned for his quick Objective-C code when he was drunk.
He is also an enthusiast of Japanese anime, drama, and motorsports, and loves Japanese Otaku culture.
⦁ Hui-Chuan Chloe Lee
Hui-Chuan Chloe Lee is a DevOps and software developer. She has worked in the software industry on a wide range of projects for over 5 years. As a technology enthusiast, Chloe loves trying and learning new technologies, which makes her life happier and more fulfilled. In her free time, she enjoys reading, traveling, and spending time with the people she loves.
⦁ Cheng-Yang Wu
Cheng-Yang Wu has been tackling with infrastructure and system reliability since he received his master's degree in Computer Science from National Taiwan University. His laziness prompted him to master DevOps skills to maximize his efficiency at work so as to squeeze in writing codes for fun. He enjoys cooking as it's just like working with software -- a perfect dish always comes from balanced flavors and fine-tuned tastes.
▶TABLE of CONTENTS
1: INTRODUCTION TO DEVOPS
2: DEVOPS WITH CONTAINER
3: GETTING STARTED WITH KUBERNETES
4: WORKING WITH STORAGE AND RESOURCES
5: NETWORK AND SECURITY
6: MONITORING AND LOGGING
7: CONTINUOUS DELIVERY
8: CLUSTER ADMINISTRATION
9: KUBERNETES ON AWS
10: KUBERNETES ON GCP
11: WHAT'S NEXT
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