diff --git a/tutorial/1-3-deploy-tfs.md b/tutorial/1-3-deploy-tfs.md
index 2e37085a6bf333e795cc9cca98c5caeac9496e6d..d04eeb86e48f9388dc7ec026f7e6f8e6c3bc51fe 100644
--- a/tutorial/1-3-deploy-tfs.md
+++ b/tutorial/1-3-deploy-tfs.md
@@ -1,88 +1,94 @@
-# 1.3. Deploy TeraFlowSDN over MicroK8s
-
-This section describes how to deploy TeraFlowSDN controller on top of MicroK8s using the environment configured in the
-previous sections.
-
-
-## 1.3.1. Install prerequisites
-```bash
-sudo apt-get install -y git curl jq
-```
-
-
-## 1.3.2. Clone the Git repository of the TeraFlowSDN controller
-__Important__: Right now, we have two repositories hosting the code of TeraFlowSDN: GitLab.com and ETSI owned GitLab
-               repository. Nowadays, only GitLab.com repository accepts code contributions that are periodically
-               mirrored to ETSI labs. In the near future, we plan to swap the repository roles and new contributions
-               will be accepted only at ETSI labs, while GitLab.com will probably be kept as a mirror of ETSI. If you
-               plan to contribute code to the TeraFlowSDN controller, by now, clone from GitLab.com. We will update the
-               tutorial as soon as roles of repositories are swapped.
-
-Clone from GitLab (if you want to contribute code to TeraFlowSDN):
-```bash
-mkdir ~/tfs-ctrl
-git clone https://gitlab.com/teraflow-h2020/controller.git ~/tfs-ctrl
-```
-
-Clone from ETSI owned GitLab (if you do not plan to contribute code):
-```bash
-mkdir ~/tfs-ctrl
-git clone https://labs.etsi.org/rep/tfs/controller.git ~/tfs-ctrl
-```
-
-
-## 1.3.3. Checkout the appropriate Git branch
-By default 'master' branch is checked out. If you want to deploy 'develop' that incorporates the most up-to-date code
-contributions and features, run the following command:
-```bash
-cd ~/tfs-ctrl
-git checkout develop
-```
-
-
-## 1.3.4. Prepare a deployment script with the deployment settings
-Create a new deployment script, e.g., `my_deploy.sh`, adding the appropriate settings as follows. This script, by
-default, makes use of the private Docker registry enabled in MicroK8s, as specified in `TFS_REGISTRY_IMAGE`. It builds
-the Docker images for the subset of components defined in `TFS_COMPONENTS`, tags them with the tag defined in
-`TFS_IMAGE_TAG`, deploys them in the namespace defined in `TFS_K8S_NAMESPACE`, and (optionally) deploys the extra
-Kubernetes manifests listed in `TFS_EXTRA_MANIFESTS`. Besides, it lets you specify in `TFS_GRAFANA_PASSWORD` the
-password to be set for the Grafana `admin` user.
-
-```bash
-cd ~/tfs-ctrl
-tee my_deploy.sh >/dev/null <<EOF
-export TFS_REGISTRY_IMAGE="http://localhost:32000/tfs/"
-export TFS_COMPONENTS="context device automation service compute monitoring webui"
-export TFS_IMAGE_TAG="dev"
-export TFS_K8S_NAMESPACE="tfs"
-export TFS_EXTRA_MANIFESTS="manifests/microk8s_ingress_http.yaml"
-export TFS_GRAFANA_PASSWORD="admin123+"
-EOF
-```
-
-
-## 1.3.5. Deploy TFS controller
-First, source the deployment settings defined in the previous section. This way, you do not need to specify the
-environment variables in each and every command you execute to operate the TFS controller. Be aware to re-source the
-file if you open new terminal sessions.
-Then, run the following command to deploy TeraFlowSDN controller on top of the MicroK8s Kubernetes platform.
-
-```bash
-cd ~/tfs-ctrl
-source my_deploy.sh
-./deploy.sh
-```
-
-The script does the following steps:
-1. Build the Docker images for the components defined in `TFS_COMPONENTS`
-2. Tag the Docker images with the value of `TFS_IMAGE_TAG`
-3. Push the Docker images to the repository defined in `TFS_REGISTRY_IMAGE`
-4. Create the namespace defined in `TFS_K8S_NAMESPACE`
-5. Deploy the components defined in `TFS_COMPONENTS`
-6. Create the file `tfs_runtime_env_vars.sh` with the environment variables for the components defined in
-   `TFS_COMPONENTS` defining their local host addresses and their port numbers.
-7. Create an ingress controller listening at port 80 for HTTP connections to enable external access to the TeraFlowSDN
-   WebUI, Grafana Dashboards, Context Debug endpoints, and Compute NBI interfaces.
-8. Initialize and configure the Grafana dashboards
-9. Report a summary of the deployment (see 
-   [1.5. Show Deployment and Log per Component](./1-5-deploy-logs-troubleshooting.md))
+# 1.3. Deploy TeraFlowSDN over MicroK8s
+
+This section describes how to deploy TeraFlowSDN controller on top of MicroK8s using the environment configured in the
+previous sections.
+
+
+## 1.3.1. Install prerequisites
+```bash
+sudo apt-get install -y git curl jq
+```
+
+
+## 1.3.2. Clone the Git repository of the TeraFlowSDN controller
+__Important__: Right now, we have two repositories hosting the code of TeraFlowSDN: GitLab.com and ETSI owned GitLab
+               repository. Nowadays, only GitLab.com repository accepts code contributions that are periodically
+               mirrored to ETSI labs. In the near future, we plan to swap the repository roles and new contributions
+               will be accepted only at ETSI labs, while GitLab.com will probably be kept as a mirror of ETSI. If you
+               plan to contribute code to the TeraFlowSDN controller, by now, clone from GitLab.com. We will update the
+               tutorial as soon as roles of repositories are swapped.
+
+Clone from GitLab (if you want to contribute code to TeraFlowSDN):
+```bash
+mkdir ~/tfs-ctrl
+git clone https://gitlab.com/teraflow-h2020/controller.git ~/tfs-ctrl
+```
+
+Clone from ETSI owned GitLab (if you do not plan to contribute code):
+```bash
+mkdir ~/tfs-ctrl
+git clone https://labs.etsi.org/rep/tfs/controller.git ~/tfs-ctrl
+```
+
+
+## 1.3.3. Checkout the appropriate Git branch
+By default 'master' branch is checked out. If you want to deploy 'develop' that incorporates the most up-to-date code
+contributions and features, run the following command:
+```bash
+cd ~/tfs-ctrl
+git checkout develop
+```
+
+__Important__: During the elaboration and validation of the tutorials, you should checkout branch
+               "feat/microk8s-deployment". Otherwise, you will not have important files such as "my_deploy.sh" or
+               "deploy.sh". As soon as the tutorials are completed and approved, we will remove this note and merge
+               the "feat/microk8s-deployment" into "develop" and later into "master", and then the previous step will
+               be effective.
+
+
+## 1.3.4. Prepare a deployment script with the deployment settings
+Create a new deployment script, e.g., `my_deploy.sh`, adding the appropriate settings as follows. This script, by
+default, makes use of the private Docker registry enabled in MicroK8s, as specified in `TFS_REGISTRY_IMAGE`. It builds
+the Docker images for the subset of components defined in `TFS_COMPONENTS`, tags them with the tag defined in
+`TFS_IMAGE_TAG`, deploys them in the namespace defined in `TFS_K8S_NAMESPACE`, and (optionally) deploys the extra
+Kubernetes manifests listed in `TFS_EXTRA_MANIFESTS`. Besides, it lets you specify in `TFS_GRAFANA_PASSWORD` the
+password to be set for the Grafana `admin` user.
+
+```bash
+cd ~/tfs-ctrl
+tee my_deploy.sh >/dev/null <<EOF
+export TFS_REGISTRY_IMAGE="http://localhost:32000/tfs/"
+export TFS_COMPONENTS="context device automation service compute monitoring webui"
+export TFS_IMAGE_TAG="dev"
+export TFS_K8S_NAMESPACE="tfs"
+export TFS_EXTRA_MANIFESTS="manifests/microk8s_ingress_http.yaml"
+export TFS_GRAFANA_PASSWORD="admin123+"
+EOF
+```
+
+
+## 1.3.5. Deploy TFS controller
+First, source the deployment settings defined in the previous section. This way, you do not need to specify the
+environment variables in each and every command you execute to operate the TFS controller. Be aware to re-source the
+file if you open new terminal sessions.
+Then, run the following command to deploy TeraFlowSDN controller on top of the MicroK8s Kubernetes platform.
+
+```bash
+cd ~/tfs-ctrl
+source my_deploy.sh
+./deploy.sh
+```
+
+The script does the following steps:
+1. Build the Docker images for the components defined in `TFS_COMPONENTS`
+2. Tag the Docker images with the value of `TFS_IMAGE_TAG`
+3. Push the Docker images to the repository defined in `TFS_REGISTRY_IMAGE`
+4. Create the namespace defined in `TFS_K8S_NAMESPACE`
+5. Deploy the components defined in `TFS_COMPONENTS`
+6. Create the file `tfs_runtime_env_vars.sh` with the environment variables for the components defined in
+   `TFS_COMPONENTS` defining their local host addresses and their port numbers.
+7. Create an ingress controller listening at port 80 for HTTP connections to enable external access to the TeraFlowSDN
+   WebUI, Grafana Dashboards, Context Debug endpoints, and Compute NBI interfaces.
+8. Initialize and configure the Grafana dashboards
+9. Report a summary of the deployment (see 
+   [1.5. Show Deployment and Log per Component](./1-5-deploy-logs-troubleshooting.md))