Merge branch 'docs-runbook-guide' into 'master'

add guide for creating runbook

See merge request gitlab-org/gitlab-ce!22885

doc/user/project/clusters/runbooks/index.md

@@ -10,8 +10,8 @@ Historically, runbooks took the form of a decision tree or a detailed
 step-by-step guide depending on the condition or system. 
 
 Modern implementations have introduced the concept of an "executable 
-runbooks", where along with a well define process, operators can execute 
-code blocks or database queries against a given environment.
+runbooks", where, along with a well-defined process, operators can execute 
+pre-written code blocks or database queries against a given environment.
 
 ## Nurtch Executable Runbooks
 
@@ -45,5 +45,93 @@ To create an executable runbook, you will need:
 Nurtch is the company behind the [Rubix library](https://github.com/Nurtch/rubix). Rubix is 
 an open-source python library that makes it easy to perform common DevOps tasks inside Jupyter Notebooks. 
 Tasks such as plotting Cloudwatch metrics and rolling your ECS/Kubernetes app are simplified 
-down to a couple of lines of code. Check the [Nurtch Documentation](http://docs.nurtch.com/en/latest) 
+down to a couple of lines of code. See the [Nurtch Documentation](http://docs.nurtch.com/en/latest) 
 for more information.
+
+## Configure an executable runbook with GitLab
+
+Follow this step-by-step guide to configure an executable runbook in GitLab using 
+the components outlined above and the preloaded demo runbook.
+
+### 1. Add a Kubernetes cluster
+
+Follow the steps outlined in [Adding and creating a new GKE cluster via GitLab](https://docs.gitlab.com/ee/user/project/clusters/#adding-and-creating-a-new-gke-cluster-via-gitlab) 
+to add a Kubernetes cluster to your project.
+
+### 2. Install Helm Tiller, Ingress, and JupyterHub
+
+Once the cluster has been provisioned in GKE, click the **Install** button next to the **Helm Tiller** app.
+
+![install helm](img/helm-install.png)
+
+Once Tiller has been installed successfully, click the **Install** button next to the **Ingress** app.
+
+![install ingress](img/ingress-install.png)
+
+Once Ingress has been installed successfully, click the **Install** button next to the **JupyterHub** app.
+
+![install jupyterhub](img/jupyterhub-install.png)
+
+### 3. Login to JupyterHub and start the server
+
+Once JupyterHub has been installed successfully, navigate to the displayed **Jupyter Hostname** URL and click 
+**Sign in with GitLab**. Authentication is automatically enabled for any user of the GitLab instance via OAuth2. This 
+will redirect to GitLab in order to authorize JupyterHub to use your GitLab account. Click **Authorize**.
+
+![authorize jupyter](img/authorize-jupyter.png)
+
+Once the application has been authorized you will taken back to the JupyterHub application. Click **Start My Server**. 
+The server will take a couple of seconds to start.
+
+### 4. Configure access
+
+In order for the runbook to access your GitLab project, you will need to enter a
+[GitLab Access Token](https://docs.gitlab.com/ee/user/profile/personal_access_tokens.html)
+as well as your Project ID in the **Setup** section of the demo runbook.
+
+Double-click the **DevOps-Runbook-Demo** folder located on the left panel.
+
+![demo runbook](img/demo-runbook.png)
+
+Double-click the "Nurtch-DevOps-Demo.ipynb" runbook.
+
+![sample runbook](img/sample-runbook.png)
+
+The contents on the runbook will be displayed on the right side of the screen. Under the "Setup" section, you will find 
+entries for both your `PRIVATE_TOKEN` and your `PROJECT_ID`. Enter both these values, conserving the single quotes as follows:
+
+```sql
+PRIVATE_TOKEN = 'n671WNGecHugsdEDPsyo'
+PROJECT_ID = '1234567'
+```
+
+Update the `VARIABLE_NAME` on the last line of this section to match the name of the variable you are using for your 
+access token. In this example our variable name is `PRIVATE_TOKEN`.
+
+```sql
+VARIABLE_VALUE = project.variables.get('PRIVATE_TOKEN').value
+```
+
+### 5. Configure an operation
+
+For this example we'll use the "**Run SQL queries in Notebook**" section in the sample runbook to query 
+a postgres database. The first 4 lines of the section define the variables that are required for this query to function. 
+
+```sql
+%env DB_USER={project.variables.get('DB_USER').value}
+%env DB_PASSWORD={project.variables.get('DB_PASSWORD').value}
+%env DB_ENDPOINT={project.variables.get('DB_ENDPOINT').value}
+%env DB_NAME={project.variables.get('DB_NAME').value}
+```
+
+Create the matching variables in your project's **Settings >> CI/CD >> Variables**
+
+![gitlab variables](img/gitlab-variables.png)
+
+Back in Jupyter, click the "Run SQL queries in Notebook" heading and the click *Run*. The results will be 
+displayed in-line as follows:
+
+![postgres query](img/postgres-query.png)
+
+You can try other operations such as running shell scripts or interacting with a Kubernetes cluster. Visit the 
+[Nurtch Documentation](http://docs.nurtch.com/) for more information.
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