Kubernetes Management Design Patterns
With Docker, CoreOS Linux, and Other Platforms
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Product details:
- Edition number 1st ed.
- Publisher Apress
- Date of Publication 29 January 2017
- Number of Volumes 1 pieces, Book
- ISBN 9781484225974
- Binding Paperback
- No. of pages399 pages
- Size 254x178 mm
- Weight 7917 g
- Language English
- Illustrations 60 Illustrations, black & white; 500 Illustrations, color 0
Categories
Short description:
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
Long description:
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.
?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) More
Table of Contents:
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.
