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

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, application developers, 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.

Table of Contents

Part I: Platforms
Chapter 1: Kubernetes on AWS
Chapter 2: Kubernetes on CoreOS on AWS
Chapter 3: Kubernetes on Google Cloud Platform

Part II: Administration and Configuration
Chapter 4: Using Multiple Zones
Chapter 5: Using the Tectonic Console
Chapter 6: Using Volumes
Chapter 7: Using Services
Chapter 8: Using Rolling Updates
Chapter 9: Scheduling Pods on Nodes
Chapter 10: Configuring Compute Resources
Chapter 11: Using ConfigMaps
Chapter 12: Using Resource Quotas
Chapter 13: Using Autoscaling
Chapter 14: Configuring Logging

Part III: High Availability
Chapter 15: Using an HA Master with OpenShift
Chapter 16: Developing a Highly Available Website