2ea4e1f066
Automatic merge from submit-queue
Split conversion and defaulting
Separate conversion and defaulting. Defaulting occurs mixed with conversion today - change the server so that the `VersioningCodec` performs defaulting on the external type during decoding.
* Add a new method to `Scheme` - `func (*runtime.Scheme) Default(runtime.Object)` - that takes an object and performs defaulting.
* Call `Default` during decoding and at static initialization time
* Use the new `defaulter-gen` to generate top level object defaulters (`v1.Pod`) at build time for any type that needs to perform defaulting.
* Add tests and alter the existing code to adapt as necessary
* Fix a few bugs in conversions that depended on defaulting behavior
---
Step 1 of decoupling conversion and defaulting. The generator will assist in creating top level defaulters that in a single method invoke all nested defaulters, preventing the need to recurse via reflection or conversion. These top level defaulters will be registered in the scheme and invoked instead of the nested recursion path. This will set the stage for a future generator, capable of creating defaulters from embedded struct tags on external types. However, we must gradually switch these over.
The immediate goal here is to split defaulting and conversion so that the unsafe convertor can be used to maximum potential (we would be able to use direct memory conversion for any identical nested struct, even those that must be defaulted).
The generator uses `k8s:defaulter-gen=TypeMeta` on most public packages to flag any top level type that has defaulters to get a `SetObjectDefaults_NAME` function created (types that don't have defaulters won't have functions). This also creates a `RegisterDefaults` method that applies a default to an interface{} and returns true if the object was handled. Existing defaults are left as is.
Add a test to verify old and new path generate the same outcomes. Defaulter will move to gengo before this is merged, and subsequent PRs will remove defaulting during conversion and have the VersioningCodec apply defaults.
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README.md
Kubernetes
Are you ...
- Interested in learning more about using Kubernetes? Please see our user-facing documentation on kubernetes.io or try the Scalable Microservices with Kubernetes course
- 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 is ready for Production!
With the 1.0.1 release Kubernetes is ready to serve your production workloads.
Kubernetes can run anywhere!
You can run Kubernetes on your local workstation under Vagrant, cloud providers (e.g. GCE, AWS, Azure), and physical hardware. Essentially, anywhere Linux runs you can run Kubernetes. Checkout the Getting Started Guides for details.
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.
- Getting started guides
- for people who want to create a Kubernetes cluster
- for people who want to port Kubernetes to a new environment
- User documentation
- for people who want to run programs on an existing Kubernetes cluster
- in the Kubernetes User Guide: Managing Applications Tip: You can also view help documentation out on http://kubernetes.io/docs/.
- the Kubectl Command Line Interface is a detailed reference on
the
kubectlCLI - User FAQ
- Cluster administrator documentation
- for people who want to create a Kubernetes cluster and administer it
- in the Kubernetes Cluster Admin Guide
- Developer and API documentation
- for people who want to write programs that access the Kubernetes API, write plugins or extensions, or modify the core Kubernetes code
- in the Kubernetes Developer Guide
- see also notes on the API
- see also the API object documentation, a detailed description of all fields found in the core API objects
- Walkthroughs and examples
- hands-on introduction and example config files
- in the user guide
- in the docs/examples directory
- Contributions from the Kubernetes community
- in the docs/contrib directory
- Design documentation and design proposals
- for people who want to understand the design of Kubernetes, and feature proposals
- design docs in the Kubernetes Design Overview and the docs/design directory
- proposals in the docs/proposals directory
- Wiki/FAQ
- in the wiki
- troubleshooting information in the troubleshooting guide
Community, discussion, contribution, and support
See which companies are committed to driving quality in Kubernetes on our community page.
Do you want to help "shape the evolution of technologies that are container packaged, dynamically scheduled and microservices oriented?"
You should consider joining the Cloud Native Computing Foundation. For details about who's involved and how Kubernetes plays a role, read their announcement.
Code of conduct
Participation in the Kubernetes community is governed by the Kubernetes Code of Conduct.
Are you ready to add to the discussion?
We have presence on:
You can also view recordings of past events and presentations on our Media page.
For Q&A, our threads are at:
Want to contribute to Kubernetes?
If you're interested in being a contributor and want to get involved in developing Kubernetes, start in the Kubernetes Developer Guide and also review the contributor guidelines.
Or, if you just have an idea for a new feature, see the Kubernetes Features repository for details on how to propose it.
Also, please see our expectations for members of the Kubernetes community.
Support
While there are many different channels that you can use to get ahold of us, you can help make sure that we are efficient in getting you the help that you need.
If you need support, start with the troubleshooting guide and work your way through the process that we've outlined.
That said, if you have questions, reach out to us one way or another. We don't bite!
Community resources
- Awesome-kubernetes - http://ramitsurana.github.io/awesome-kubernetes
You can find more projects, tools and articles related to Kubernetes on the awesome-kubernetes list. Add your project there and help us make it better.
- CoreKube - https://corekube.com:
Instructive & educational resources for the Kubernetes community. By the community.
- Community Documentation
Here you can learn more about the current happenings in the kubernetes community.