Kubernetes Management Design Patterns: With Docker, CoreOS Linux, and Other Platforms
- 2h 45m
- Deepak Vohra
- Apress
- 2017
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.
About the Author
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.
In this Book
-
Kubernetes on AWS
-
Kubernetes on CoreOS on AWS
-
Kubernetes on Google Cloud Platform
-
Using Multiple Zones
-
Using the Tectonic Console
-
Using Volumes
-
Using Services
-
Using Rolling Updates
-
Scheduling Pods on Nodes
-
Configuring Compute Resources
-
Using ConfigMaps
-
Using Resource Quotas
-
Using Autoscaling
-
Configuring Logging
-
Using an HA Master with OpenShift
-
Developing a Highly Available Website
