Kubernetes Management Design Patterns: With Docker, CoreOS Linux, and Other Platforms

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Deepak Vohra

Kubernetes Management Design Patterns

With Docker, CoreOS Linux, and Other Platforms

Deepak Vohra

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English

APress
29 January 2017

Servers; Microsoft Windows; Linux; Object-oriented programming (OOP)

Take container cluster management to the next level; learn how to administer and configure Kubernetes on CoreOS; and apply suitable management design patterns such as Configmaps, Autoscaling, elastic resource usage, and high availability. Some of the other features discussed are logging, scheduling, rolling updates, volumes, service types, and multiple cloud provider zones. The atomic unit of modular container service in Kubernetes is a Pod, which is a group of containers with a common filesystem and networking. The Kubernetes Pod abstraction enables design patterns for containerized applications similar to object-oriented design patterns. Containers provide some of the same benefits as software objects such as modularity or packaging, abstraction, and reuse. CoreOS Linux is used in the majority of the chapters and other platforms discussed are CentOS with OpenShift, Debian 8 (jessie) on AWS, and Debian 7 for Google Container Engine. CoreOS is the main focus becayse Docker is pre-installed on CoreOS out-of-the-box. CoreOS:

Supports most cloud providers (including Amazon AWS EC2 and Google Cloud Platform) and virtualization platforms (such as VMWare and VirtualBox)

Provides Cloud-Config for declaratively configuring for OS items such as network configuration (flannel), storage (etcd), and user accounts

Provides a production-level infrastructure for containerized applications including automation, security, and scalability

Leads the drive for container industry standards and founded appc

Provides the most advanced container registry, Quay

Docker was made available as open source in March 2013 and has become the most commonly used containerization platform. Kubernetes was open-sourced in June 2014 and has become the most widely used container cluster manager. The first stable version of CoreOS Linux was made available in July 2014 and since has become one of the most commonly used operating system for containers. What You'll Learn

Use Kubernetes with Docker

Create a Kubernetes cluster on CoreOS on AWS

Apply cluster management design patterns

Use multiple cloud provider zones

Work with Kubernetes and tools like Ansible

Discover the Kubernetes-based PaaS platform OpenShift

Create a high availability website

Build a high availability Kubernetes master cluster

Use volumes, configmaps, services, autoscaling, and rolling updates

Manage compute resources

Configure logging and scheduling

Who This Book Is For Linux admins, CoreOS admins, applicationdevelopers, and container as a service (CAAS) developers. Some pre-requisite knowledge of Linux and Docker is required. Introductory knowledge of Kubernetes is required such as creating a cluster, creating a Pod, creating a service, and creating and scaling a replication controller. For introductory Docker and Kubernetes information, refer to Pro Docker (Apress) and Kubernetes Microservices with Docker (Apress). Some pre-requisite knowledge about using Amazon Web Services (AWS) EC2, CloudFormation, and VPC is also required.

By: Deepak Vohra
Imprint: APress
Country of Publication: United States
Edition: 1st ed.
Dimensions: Height: 254mm, Width: 178mm, Spine: 22mm
Weight: 7.917kg
ISBN: 9781484225974
ISBN 10: 148422597X
Pages: 399
Publication Date: 29 January 2017
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Part I Platforms.- 1. Kubernetes On AWS.- 2. Kubernetes on CoreOS.- 3. Kubernetes on Google Cloud Platform. Part 2 Administration and Configuration.- 4. Using Multiple Zones.- 5. Using the Tectonic Console .- 6. Using Volumes.- 7. Using Services.- 8. Using Rolling Updates.- 9. Scheduling Pods.- 10. Configuring Compute Resources.- 11. Using Configmaps.- 12. Setting Resource Quotas.- 13. Using Autoscaling.- 14. Configuring Logging. Part 3 High Availability.- 15. Using a HA Master with OpenShift.- 16. Developing a Highly Available Web Site.

Deepak Vohra is an Oracle Certified Associate and a Sun Certified Java Programmer. Deepak has published in Oracle Magazine, OTN, IBM developerWorks, ONJava, DevSource, WebLogic Developer’s Journal, XML Journal, Java Developer’s Journal, FTPOnline, and devx.

Reviews for Kubernetes Management Design Patterns: With Docker, CoreOS Linux, and Other Platforms

The book does provide a practical guide to installing Kubernetes using Amazon Web Services (AWS) and the Google Cloud Platform to perform essential tasks, all clearly illustrated with many screen shots. ... this book could be useful for those readers who appreciate a detailed and practical guide for installing and configuring Kubernetes' many features. (Computing Reviews, November, 2017)