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.
You will: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
