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refactor(seo): gcp to google cloud platform
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docs/manifest.json

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"path": "./quickstart/docker.md"
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},
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{
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"title": "GCP",
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"description": "Setup Coder with GCP",
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"path": "./quickstart/gcp.md"
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"title": "Google Cloud Platform",
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"description": "Setup Coder with Google Cloud Platform",
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"path": "./quickstart/google-cloud-platform.md"
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}
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]
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},

docs/quickstart/gcp.md renamed to docs/quickstart/google-cloud-platform.md

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## Requirements
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This quick start assumes you have administrator access to your GCP instance.
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This quick start assumes you have administrator access to your Google Cloud Platform instance.
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## Setting Up your VM
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If this is the first time you’re creating a VM on this project, you will need to enable the `Compute Engine API`. Click `enable` and wait for the service to finish connecting.
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This will pull up the `Create an Instance` page - name the instance something relevant to this project, following your naming convention of choice. In addition, select a region and zone that is relevant / close to your physical location. For this instance, we will use the base suggested image.
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<img src="../images/quickstart/gcp/gcp1.png">
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<img src="../images/quickstart/google-cloud-platform/gcp1.png">
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Under `Identity and API Access`, and click `Allow full access to all Cloud APIs`. Scroll down to `Firewall` and click `Allow HTTPS traffic` and `Allow HTTP traffic`.
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<img src="../images/quickstart/gcp/gcp2.png">
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<img src="../images/quickstart/google-cloud-platform/gcp2.png">
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Scroll down to the bottom and click `Create` to create and deploy the VM.
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On the Compute Engine Dashboard, click on the VM for this project. Under `Details`, click `SSH` and select `Open in browser window`.
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<img src="../images/quickstart/gcp/gcp3.png">
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<img src="../images/quickstart/google-cloud-platform/gcp3.png">
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This will give you a terminal to maneuver, manipulate the VM, and install Coder.
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sudo vim /etc/coder.d/coder.env
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```
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<img src="../images/quickstart/gcp/gcp4.png">
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<img src="../images/quickstart/google-cloud-platform/gcp4.png">
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Exit vim and run the following command to start Coder as a system service:
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This will return a series of logs from launching Coder, however, embedded in the launch is the URL for accessing Coder.
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<img src="../images/quickstart/gcp/gcp5.png">
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<img src="../images/quickstart/google-cloud-platform/gcp5.png">
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In this instance, Coder can be accessed at the URL `https://fcca2f3bfc9d2e3bf1b9feb50e723448.pit-1.try.coder.app`.
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First, run `coder template init` to create your first template. You’ll be given a list of possible templates to potentially use. This tutorial will show you how to create a Linux based template on GCP.
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<img src="../images/quickstart/gcp/gcp6.png">
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<img src="../images/quickstart/google-cloud-platform/gcp6.png">
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Select the `Develop in Linux on Google Cloud`, then `cd ./gcp-linux` into the folder created from initializing a template.
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Given it’s your first time setting up Coder, it may an error that will look like the following:
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<img src="../images/quickstart/gcp/gcp7.png">
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<img src="../images/quickstart/google-cloud-platform/gcp7.png">
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In the error message will be a link. In this case, the URL is `https://console.developes.google.com/apis/api/iam.googles.com/overview:?project=1073148106645`. Copy the respective URL from your error message, and visit it via your browser. It may ask you to enable `Identity and Access Management (IAM) API`.
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Click `enable` and wait as the API initializes for your account.
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Once initialized, click create credentials in the upper right-hand corner. Select the `Compute Engine API` from the dropdown, and select `Application Data` under `What data will you be accessing?`. In addition, select `Yes, I’m using one or more` under `Are you planning on using this API with Compute Engine, Kubernetes Engine, App Engine, or Cloud Functions?`.
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<img src="../images/quickstart/gcp/gcp8.png">
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<img src="../images/quickstart/google-cloud-platform/gcp8.png">
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Back in your GCP terminal, run the `coder templates create` one more time.
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Congrats! You can now create new Linux-based workspaces that use GCP.
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Congrats! You can now create new Linux-based workspaces that use Google Cloud Platform.

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