# Access IBM Skills Network
## 1. Access IBM Skills Network
1. If you have registered your account, you can access the lab environment at and go directly to step 6.
2. Navigate to ,
3. Create a new account with a Social login (LinkedIn, Google, Github or Facebook), or click the `Cognitive Class` button,
4. Click `Create an Account`,
5. Fill in your Email, Full Name, Public Username and password, click on the check boxes next to the `Privacy Notice` and `Terms of Service` to accept them. Then click on `Create Account`.
6. You will then be taken to a page with a list of sandbox environments. Click on the option for **Theia - Cloud IDE (With OpenShift)**
7. Wait a few minutes while your environment is created.
8. You will be taken to a blank editor page once your environment is ready.
9. What we really need is access to the terminal. Click on the `Terminal` tab near the top of the page and select **New Terminal**
10. You can then click and drag the top of the terminal section upwards to make the terminal section bigger.
## 2. Connect to OpenShift Cluster
1. In a new browser tab, go to .
2. Select your cluster instance and open it.
3. Click `OpenShift web console` button on the top.
4. Click on your username in the upper right and select `Copy Login Command` option.
5. Click the `Display Token` link.
6. Copy the contents of the field `Log in with this token` to the clipboard. It provides a login command with a valid token for your username.
7. Go to the `Cloud Shell` tab.
8. Paste the `oc login command` in the IBM Cloud Shell terminal and run it.
9. After login to your cluster, set an environment variable for your cluster.
```
export CLUSTER_NAME=
```
10. Verify you connect to the right cluster.
```
kubectl get pod
```
## 3. Install s2i CLI tool
To install s2i CLI tool,
1. Download tar file.
```
curl -s https://api.github.com/repos/openshift/source-to-image/releases/latest \
| grep browser_download_url \
| grep linux-amd64 \
| cut -d '"' -f 4 \
| wget -qi -
```
2. Unzip tar file
```
tar xvf source-to-image*.gz
```
3. Make s2i CLI accessiblee.
```
sudo mv s2i /usr/local/bin
```
4. verify
```
s2i version
```
With that done, you can start the lab.
---
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