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Claudia J.Kang 612006c920 Add: Korean translation initialized (#10471) 
Korean translation of Home, Setup, Tutorials-Kubernetes Basics, and Hello Minikube has been added.

* Initial translation of documentation home (kubernetes/kubernetes-docs-ko#9)
* 번역할 원본 파일 추가 (kubernetes/kubernetes-docs-ko#11)
* Translate tutorials/kubernetes-basics/create-cluster (kubernetes/kubernetes-docs-ko#15)
* Translate tutorials/kubernetes-basics/deploy-app in Korean (kubernetes/kubernetes-docs-ko#16)
* Translate tutorials/kubernetes-basics/expose in Korean (kubernetes/kubernetes-docs-ko#26)
* Translate tutorials/kubernetes-basics/scale in Korean (kubernetes/kubernetes-docs-ko#24)
* Fix typo from 세트 to 셋 according to 외래어 표기법 3.1.1 (kubernetes/kubernetes-docs-ko#31)
* Setup page's header and subheader translate into Korean. (kubernetes/kubernetes-docs-ko#33)
* Translated the welcome page in Korean (kubernetes/kubernetes-docs-ko#32)
* Translate tutorials/kubernetes-basics/update in Korean (kubernetes/kubernetes-docs-ko#35)
* Translate concepts/_index.md in Korean (kubernetes/kubernetes-docs-ko#30)
* Translate tutorials/kubernetes-basics/index.html in Korean (kubernetes/kubernetes-docs-ko#29)
* Translate /tutorials/hello-minikube.md in Korean (kubernetes/kubernetes-docs-ko#18)
* Translate tutorials/kubernetes-basics/explore in Korean (kubernetes/kubernetes-docs-ko#36)
* up-to-date on content/ko (kubernetes/kubernetes-docs-ko#42)
* up-to-date on _index.html (kubernetes/kubernetes-docs-ko#41)
* Translate tutorials/_index.md in Korean (kubernetes/kubernetes-docs-ko#44)
* Update translation on tutorials/hello-minikube.md (kubernetes/kubernetes-docs-ko#45)
* Setup page's header and subheader translate into Korean. (kubernetes/kubernetes-docs-ko#51)
* Update tutorials for consistency (kubernetes/kubernetes-docs-ko#48)
* up-to-date on content/ko (kubernetes/kubernetes-docs-ko#53)

Co-authored-by: June Yi <june.yi@samsung.com>
Co-authored-by: Claudia J.Kang <claudiajkang@gmail.com>
Co-authored-by: zerobig <38598117+zer0big@users.noreply.github.com>
Co-authored-by: Lawlait <sixarasi@gmail.com>
Co-authored-by: Ian Y. Choi <ianyrchoi@gmail.com>
2018-10-03 13:11:23 -07:00

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baldwinspc
Running Kubernetes on Multiple Clouds with Stackpoint.io templates/concept

{{% capture overview %}}

StackPointCloud is the universal control plane for Kubernetes Anywhere. StackPointCloud allows you to deploy and manage a Kubernetes cluster to the cloud provider of your choice in 3 steps using a web-based interface.

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AWS

To create a Kubernetes cluster on AWS, you will need an Access Key ID and a Secret Access Key from AWS.

  1. Choose a Provider

    a. Log in to stackpoint.io with a GitHub, Google, or Twitter account.

    b. Click +ADD A CLUSTER NOW.

    c. Click to select Amazon Web Services (AWS).

  2. Configure Your Provider

    a. Add your Access Key ID and a Secret Access Key from AWS. Select your default StackPointCloud SSH keypair, or click ADD SSH KEY to add a new keypair.

    b. Click SUBMIT to submit the authorization information.

  3. Configure Your Cluster

    Choose any extra options you may want to include with your cluster, then click SUBMIT to create the cluster.

  4. Run the Cluster

    You can monitor the status of your cluster and suspend or delete it from your stackpoint.io dashboard.

    For information on using and managing a Kubernetes cluster on AWS, consult the Kubernetes documentation.

GCE

To create a Kubernetes cluster on GCE, you will need the Service Account JSON Data from Google.

  1. Choose a Provider

    a. Log in to stackpoint.io with a GitHub, Google, or Twitter account.

    b. Click +ADD A CLUSTER NOW.

    c. Click to select Google Compute Engine (GCE).

  2. Configure Your Provider

    a. Add your Service Account JSON Data from Google. Select your default StackPointCloud SSH keypair, or click ADD SSH KEY to add a new keypair.

    b. Click SUBMIT to submit the authorization information.

  3. Configure Your Cluster

    Choose any extra options you may want to include with your cluster, then click SUBMIT to create the cluster.

  4. Run the Cluster

    You can monitor the status of your cluster and suspend or delete it from your stackpoint.io dashboard.

    For information on using and managing a Kubernetes cluster on GCE, consult the Kubernetes documentation.

Google Kubernetes Engine

To create a Kubernetes cluster on Google Kubernetes Engine, you will need the Service Account JSON Data from Google.

  1. Choose a Provider

    a. Log in to stackpoint.io with a GitHub, Google, or Twitter account.

    b. Click +ADD A CLUSTER NOW.

    c. Click to select Google Kubernetes Engine.

  2. Configure Your Provider

    a. Add your Service Account JSON Data from Google. Select your default StackPointCloud SSH keypair, or click ADD SSH KEY to add a new keypair.

    b. Click SUBMIT to submit the authorization information.

  3. Configure Your Cluster

    Choose any extra options you may want to include with your cluster, then click SUBMIT to create the cluster.

  4. Run the Cluster

    You can monitor the status of your cluster and suspend or delete it from your stackpoint.io dashboard.

    For information on using and managing a Kubernetes cluster on Google Kubernetes Engine, consult the official documentation.

DigitalOcean

To create a Kubernetes cluster on DigitalOcean, you will need a DigitalOcean API Token.

  1. Choose a Provider

    a. Log in to stackpoint.io with a GitHub, Google, or Twitter account.

    b. Click +ADD A CLUSTER NOW.

    c. Click to select DigitalOcean.

  2. Configure Your Provider

    a. Add your DigitalOcean API Token. Select your default StackPointCloud SSH keypair, or click ADD SSH KEY to add a new keypair.

    b. Click SUBMIT to submit the authorization information.

  3. Configure Your Cluster

    Choose any extra options you may want to include with your cluster, then click SUBMIT to create the cluster.

  4. Run the Cluster

    You can monitor the status of your cluster and suspend or delete it from your stackpoint.io dashboard.

    For information on using and managing a Kubernetes cluster on DigitalOcean, consult the official documentation.

Microsoft Azure

To create a Kubernetes cluster on Microsoft Azure, you will need an Azure Subscription ID, Username/Email, and Password.

  1. Choose a Provider

    a. Log in to stackpoint.io with a GitHub, Google, or Twitter account.

    b. Click +ADD A CLUSTER NOW.

    c. Click to select Microsoft Azure.

  2. Configure Your Provider

    a. Add your Azure Subscription ID, Username/Email, and Password. Select your default StackPointCloud SSH keypair, or click ADD SSH KEY to add a new keypair.

    b. Click SUBMIT to submit the authorization information.

  3. Configure Your Cluster

    Choose any extra options you may want to include with your cluster, then click SUBMIT to create the cluster.

  4. Run the Cluster

    You can monitor the status of your cluster and suspend or delete it from your stackpoint.io dashboard.

    For information on using and managing a Kubernetes cluster on Azure, consult the Kubernetes documentation.

Packet

To create a Kubernetes cluster on Packet, you will need a Packet API Key.

  1. Choose a Provider

    a. Log in to stackpoint.io with a GitHub, Google, or Twitter account.

    b. Click +ADD A CLUSTER NOW.

    c. Click to select Packet.

  2. Configure Your Provider

    a. Add your Packet API Key. Select your default StackPointCloud SSH keypair, or click ADD SSH KEY to add a new keypair.

    b. Click SUBMIT to submit the authorization information.

  3. Configure Your Cluster

    Choose any extra options you may want to include with your cluster, then click SUBMIT to create the cluster.

  4. Run the Cluster

    You can monitor the status of your cluster and suspend or delete it from your stackpoint.io dashboard.

    For information on using and managing a Kubernetes cluster on Packet, consult the official documentation.

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