SataQiu
@@ -23,7 +23,7 @@ Based on where the Kubernetes community is focusing their development efforts, g
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**Basic Concepts**
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The are a few basic ideas behind RBAC that are foundational in understanding it. At its core, RBAC is a way of granting users granular access to [Kubernetes API resources](https://kubernetes.io/docs/api-reference/v1.6/).
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There are a few basic ideas behind RBAC that are foundational in understanding it. At its core, RBAC is a way of granting users granular access to [Kubernetes API resources](https://kubernetes.io/docs/api-reference/v1.6/).
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[](https://1.bp.blogspot.com/-v6KLs1tT_xI/WOa0anGP4sI/AAAAAAAABBo/KIgYfp8PjusuykUVTfgu9-2uKj_wXo4lwCLcB/s1600/rbac1.png)
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@@ -94,7 +94,7 @@ If you’d like to try out Kubeflow, we have a number of options for you:
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1. You can use sample walkthroughs hosted on [Katacoda](https://www.katacoda.com/kubeflow)
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2. You can follow a guided tutorial with existing models from the [examples repository](https://github.com/kubeflow/examples). These include the [Github Issue Summarization](https://github.com/kubeflow/examples/tree/master/github_issue_summarization), [MNIST](https://github.com/kubeflow/examples/tree/master/mnist) and [Reinforcement Learning with Agents](https://github.com/kubeflow/examples/tree/master/agents).
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3. You can start a cluster on your own and try your own model. Any Kubernetes conformant cluster will support Kubeflow including those from contributors [Caicloud](https://www.prnewswire.com/news-releases/caicloud-releases-its-kubernetes-based-cluster-as-a-service-product-claas-20-and-the-first-tensorflow-as-a-service-taas-11-while-closing-6m-series-a-funding-300418071.html), [Canonical](https://jujucharms.com/canonical-kubernetes/), [Google](https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-container-cluster), [Heptio](https://heptio.com/products/kubernetes-subscription/), [Mesosphere](https://github.com/mesosphere/dcos-kubernetes-quickstart), [Microsoft](https://docs.microsoft.com/en-us/azure/aks/kubernetes-walkthrough), [IBM](https://console.bluemix.net/docs/containers/cs_tutorials.html#cs_cluster_tutorial), [Red Hat/Openshift ](https://docs.openshift.com/container-platform/3.3/install_config/install/quick_install.html#install-config-install-quick-install)and [Weaveworks](https://www.weave.works/product/cloud/).
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3. You can start a cluster on your own and try your own model. Any Kubernetes conformant cluster will support Kubeflow including those from contributors [Caicloud](https://www.prnewswire.com/news-releases/caicloud-releases-its-kubernetes-based-cluster-as-a-service-product-claas-20-and-the-first-tensorflow-as-a-service-taas-11-while-closing-6m-series-a-funding-300418071.html), [Canonical](https://jujucharms.com/canonical-kubernetes/), [Google](https://cloud.google.com/kubernetes-engine/docs/how-to/creating-a-container-cluster), [Heptio](https://heptio.com/products/kubernetes-subscription/), [Mesosphere](https://github.com/mesosphere/dcos-kubernetes-quickstart), [Microsoft](https://docs.microsoft.com/en-us/azure/aks/kubernetes-walkthrough), [IBM](https://console.bluemix.net/docs/containers/cs_tutorials.html#cs_cluster_tutorial), [Red Hat/Openshift ](https://docs.openshift.com/container-platform/3.3/install_config/install/quick_install.html#install-config-install-quick-install)and [Weaveworks](https://www.weave.works/product/cloud/).
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There were also a number of sessions at KubeCon + CloudNativeCon EU 2018 covering Kubeflow. The links to the talks are here; the associated videos will be posted in the coming days.
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@@ -20,7 +20,7 @@ If you encounter any site weirdness or broken formatting, please [open an issue]
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### Multilingual support is coming
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Our initial search focused on finding a language selector that would play well with Jekyll. The projects we found weren't well-supported, and a prototype of one plugin made it clear that a Jekyll implementation would create technical debt that drained resources away from the quality of the docs.
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Our initial search focused on finding a language selector that would play well with Jekyll. The projects we found weren't well-supported, and a prototype of one plugin made it clear that a Jekyll implementation would create technical debt that drained resources away from the quality of the docs.
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We chose Hugo after months of research and conversations with other open source translation projects. (Special thanks to [Andreas Jaeger](https://twitter.com/jaegerandi?lang=da) and his experience at OpenStack). Hugo's [multilingual support](https://gohugo.io/content-management/multilingual/) is built in and easy.
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@@ -23,6 +23,6 @@ The version of Kubernetes at that point was really just a shadow of what it was
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<center><iframe width="560" height="315" src="https://www.youtube.com/embed/YrxnVKZeqK8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe></center>
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But, however raw, that modest start was enough to pique the interest of a community that started strong and has only gotten stronger. Over the past four years Kubernetes has exceeded the expectations of all of us that were there early on. We owe the Kubernetes community a huge debt. The success the project has seen is based not just on code and technology but also the way that an amazing group of people have come together to create something special. The best expression of this is the [set of Kubernetes values](https://github.com/kubernetes/steering/blob/master/values.md) that Sarah Novotny helped curate.
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But, however raw, that modest start was enough to pique the interest of a community that started strong and has only gotten stronger. Over the past four years Kubernetes has exceeded the expectations of all of us that were there early on. We owe the Kubernetes community a huge debt. The success the project has seen is based not just on code and technology but also the way that an amazing group of people have come together to create something special. The best expression of this is the [set of Kubernetes values](https://github.com/kubernetes/steering/blob/master/values.md) that Sarah Novotny helped curate.
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Here is to another 4 years and beyond! 🎉🎉🎉
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@@ -64,7 +64,7 @@ In this example, the “test” service uses Ambassador annotations to dynamical
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With Ambassador, Kubeflow manages routing easily with Kubernetes annotations. Kubeflow configures a single ingress object that directs traffic to Ambassador, then creates services with Ambassador annotations as needed to direct traffic to specific backends. For example, when deploying TensorFlow services, Kubeflow creates and and annotates a K8s service so that the model will be served at https://<ingress host>/models/<model name>/. Kubeflow can also use the Envoy Proxy to do the actual L7 routing. Using Ambassador, Kubeflow takes advantage of additional routing configuration like URL rewriting and method-based routing.
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With Ambassador, Kubeflow manages routing easily with Kubernetes annotations. Kubeflow configures a single ingress object that directs traffic to Ambassador, then creates services with Ambassador annotations as needed to direct traffic to specific backends. For example, when deploying TensorFlow services, Kubeflow creates and annotates a K8s service so that the model will be served at https://<ingress host>/models/<model name>/. Kubeflow can also use the Envoy Proxy to do the actual L7 routing. Using Ambassador, Kubeflow takes advantage of additional routing configuration like URL rewriting and method-based routing.
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If you’re interested in using Ambassador with Kubeflow, the standard Kubeflow install automatically installs and configures Ambassador.
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@@ -135,7 +135,7 @@ production_task = KubernetesPodOperator(namespace='default',
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# Launching a test deployment
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Since the Kubernetes Operator is not yet released, we haven't released an official [helm](https://helm.sh/) chart or operator (however both are currently in progress). However, we are including instructions for a basic deployment below and are actively looking for foolhardy beta testers to try this new feature. To try this system out please follow these steps:
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Since the Kubernetes Operator is not yet released, we haven't released an official [helm](https://helm.sh/) chart or operator (however both are currently in progress). However, we are including instructions for a basic deployment below and are actively looking for foolhardy beta testers to try this new feature. To try this system out please follow these steps:
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## Step 1: Set your kubeconfig to point to a kubernetes cluster
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@@ -157,7 +157,7 @@ Before we move on, let's discuss what these commands are doing:
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### sed -ie "s/KubernetesExecutor/LocalExecutor/g" scripts/ci/kubernetes/kube/configmaps.yaml
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The Kubernetes Executor is another Airflow feature that allows for dynamic allocation of tasks as idempotent pods. The reason we are switching this to the LocalExecutor is simply to introduce one feature at a time. You are more then welcome to skip this step if you would like to try the Kubernetes Executor, however we will go into more detail in a future article.
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The Kubernetes Executor is another Airflow feature that allows for dynamic allocation of tasks as idempotent pods. The reason we are switching this to the LocalExecutor is simply to introduce one feature at a time. You are more then welcome to skip this step if you would like to try the Kubernetes Executor, however we will go into more detail in a future article.
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### ./scripts/ci/kubernetes/Docker/build.sh
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@@ -89,7 +89,7 @@ acs-engine deploy --subscription-id <subscription id> \
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API model file provides various configurations which acs-engine uses to create a cluster. The API model here [[5]](https://github.com/Azure/acs-engine/blob/master/examples/kubernetes-vmss/kubernetes.json) gives a good starting configuration to setup the VMSS cluster.
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Once a VMSS cluster is created, here are some of the steps you can run to understand more about the cluster setup. Here is the output of kubectl get nodes from a cluster created using the above command:
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Once a VMSS cluster is created, here are some of the steps you can run to understand more about the cluster setup. Here is the output of kubectl get nodes from a cluster created using the above command:
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```
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$ kubectl get nodes
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@@ -170,7 +170,7 @@ The decision to make a scale up is based on pods which remain unscheduled and a
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Cluster Autoscaler is available as an add-on with acs-engine. The following link [[15]](https://github.com/Azure/acs-engine/tree/master/examples/addons/cluster-autoscaler) has an example configuration file used to deploy autoscaler with acs-engine. The following link [[8]](https://github.com/kubernetes/autoscaler/blob/master/cluster-autoscaler/cloudprovider/azure/README.md) provides details on manual step by step way to do the same.
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In acs-engine case we use the the regular command line to deploy:
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In acs-engine case we use the regular command line to deploy:
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```
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acs-engine deploy --subscription-id <subscription id> \
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@@ -8,7 +8,7 @@ title: Persistent Volumes
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feature:
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title: Storage orchestration
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description: >
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Automatically mount the storage system of your choice, whether from local storage, a public cloud provider such as <a href="https://cloud.google.com/storage/">GCP</a> or <a href="https://aws.amazon.com/products/storage/">AWS</a>, or a network storage system such as NFS, iSCSI, Gluster, Ceph, Cinder, or Flocker.
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Automatically mount the storage system of your choice, whether from local storage, a public cloud provider such as <a href="https://cloud.google.com/storage/">GCP</a> or <a href="https://aws.amazon.com/products/storage/">AWS</a>, or a network storage system such as NFS, iSCSI, Gluster, Ceph, Cinder, or Flocker.
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content_template: templates/concept
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weight: 20
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@@ -643,7 +643,7 @@ your question to the `#kubernetes-users` channel in
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[Kubernetes slack](http://slack.k8s.io/). You can also search
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resources like
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[Stack Overflow](http://stackoverflow.com/questions/tagged/kubernetes)
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for answers to similar questions.
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for answers to similar questions.
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You can also open issues for Kubernetes functionality in
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https://github.com/kubernetes/kubernetes.
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@@ -83,7 +83,7 @@ You can add servers into your cluster by adding the cluster Profile to the serve
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### Cleanup your cluster (for developers)
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You can reset your cluster and wipe out all configuration and TLS certificates using the the `krib-reset-cluster` Workflow on any of the servers in the cluster.
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You can reset your cluster and wipe out all configuration and TLS certificates using the `krib-reset-cluster` Workflow on any of the servers in the cluster.
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{{< caution >}}
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**Caution:** When running the reset Workflow, be sure not to accidentally target your production cluster!
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Reference in New Issue
Block a user