51817850ba
This adds a very basic Zeppelin image that works with the existing Spark example. As can be seen from the documentation, it has a couple of warts: * It requires kubectl port-forward (which is unstable across long periods of time, at least for me, on this app, bug incoming). See * I needed to roll my own container (none of the existing containers exactly matched needs, or even built anymore against modern Zeppelin master, and the rest of the example is Spark 1.5). The image itself is *huge*. One of the further refinements we need to look at is how to possibly strip the Maven build for this container down to just the interpreters we care about, because the deps here are frankly ridiculous. This might be a case where, if possible, we might want to open an upstream request to build things dynamically, then use something like probably the cut the image down considerably. (This might already be possible, need to poke at whether you can late-bind interpreters later.)
Kubernetes
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.
- 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 do more than just 'discuss' 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.
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!