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.
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