navsection: userguide
title: "Writing a pipeline template"
...
+{% comment %}
+Copyright (C) The Arvados Authors. All rights reserved.
+
+SPDX-License-Identifier: CC-BY-SA-3.0
+{% endcomment %}
{% include 'pipeline_deprecation_notice' %}
<pre><code>~$ <span class="userinput">git rev-parse HEAD</span></code></pre>
</notextile>
-* @"docker_image"@ : The docker image hash used is found on the "Collection page":https://cloud.curoverse.com/collections/qr1hi-4zz18-dov6im679g3jr1n as the *Content address*.
+* @"docker_image"@ : The docker image hash used is found on the "Collection page":https://playground.arvados.org/collections/qr1hi-4zz18-dov6im679g3jr1n as the *Content address*.
h2. Running your pipeline
-Your new pipeline template should appear at the top of the Workbench "pipeline templates":{{site.arvados_workbench_host}}/pipeline_templates page. You can run your pipeline "using Workbench":tutorial-pipeline-workbench.html or the "command line.":{{site.baseurl}}/user/topics/running-pipeline-command-line.html
+Your new pipeline template should appear at the top of the Workbench "pipeline templates":{{site.arvados_workbench_host}}/pipeline_templates page. You can run your pipeline "using Workbench":tutorial-workflow-workbench.html or the "command line.":{{site.baseurl}}/user/topics/running-pipeline-command-line.html
Test data is available in the "Arvados Tutorial":{{site.arvados_workbench_host}}/projects/qr1hi-j7d0g-u7zg1qdaowykd8d project:
<pre><code>~$ <span class="userinput">git rev-parse HEAD</span></code></pre>
</notextile>
-* @"docker_image"@ : This specifies the "Docker":https://www.docker.com/ runtime environment where jobs run their scripts. Docker version control is similar to git, and you can commit and push changes to your images. You must re-use the docker image hash from the previous run to use the same image. It can be found on the "Collection page":https://cloud.curoverse.com/collections/qr1hi-4zz18-dov6im679g3jr1n as the *Content address* or the *docker_image_locator* in a job's metadata.
+* @"docker_image"@ : This specifies the "Docker":https://www.docker.com/ runtime environment where jobs run their scripts. Docker version control is similar to git, and you can commit and push changes to your images. You must re-use the docker image hash from the previous run to use the same image. It can be found on the "Collection page":https://playground.arvados.org/collections/qr1hi-4zz18-dov6im679g3jr1n as the *Content address* or the *docker_image_locator* in a job's metadata.