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Alex Mohr bcb6e1e107 Fix e2e scheduler_predicates.go to have 10 minute timeout instead of 2
minutes.

On an n1-standard-1 with only this test running, 2 minutes was enough
to create 189 pods out of the 300 desired.  On slower VMs or with more
activity on the master (such as with parallel tests), 2 minutes is
nowhere near enough.  This is a functional test, not a performance
test.
2015-08-04 22:59:30 -07:00
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README.md

Kubernetes

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Are you ...

  • Interested in learning more about using Kubernetes? Please see our user-facing documentation on kubernetes.io
  • Interested in hacking on the core Kubernetes code base? Keep reading!

Kubernetes is an open source system for managing containerized applications across multiple hosts, providing basic mechanisms for deployment, maintenance, and scaling of applications.

Kubernetes is:

  • lean: lightweight, simple, accessible
  • portable: public, private, hybrid, multi cloud
  • extensible: modular, pluggable, hookable, composable
  • self-healing: auto-placement, auto-restart, auto-replication

Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale, combined with best-of-breed ideas and practices from the community.


Kubernetes can run anywhere!

However, initial development was done on GCE and so our instructions and scripts are built around that. If you make it work on other infrastructure please let us know and contribute instructions/code.

Kubernetes is ready for Production!

With the 1.0.1 release Kubernetes is ready to serve your production workloads.

Concepts

Kubernetes works with the following concepts:

Cluster
A cluster is a set of physical or virtual machines and other infrastructure resources used by Kubernetes to run your applications. Kubernetes can run anywhere! See the Getting Started Guides for instructions for a variety of services.
Node
A node is a physical or virtual machine running Kubernetes, onto which pods can be scheduled.
Pod
Pods are a colocated group of application containers with shared volumes. They're the smallest deployable units that can be created, scheduled, and managed with Kubernetes. Pods can be created individually, but it's recommended that you use a replication controller even if creating a single pod.
Replication controller
Replication controllers manage the lifecycle of pods. They ensure that a specified number of pods are running at any given time, by creating or killing pods as required.
Service
Services provide a single, stable name and address for a set of pods. They act as basic load balancers.
Label
Labels are used to organize and select groups of objects based on key:value pairs.

Documentation

Kubernetes documentation is organized into several categories.

Community, discussion and support

If you have questions or want to start contributing please reach out. We don't bite!

Please see the troubleshooting guide, or how to get more help.

If you are a company and are looking for a more formal engagement with Google around Kubernetes and containers at Google as a whole, please fill out this form and we'll be in touch.

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