# Part 4: Update

## What Will You Do

In this section you will

- Update the YAML workload manifest in Git
- Approve the pipeline stage to initiate the YAML workload update
- Update the Helm workload values file in Git
- Approve the pipeline stage to initiate the YAML workload update

---

## Step 1: Update YAML Workload

In this step, you will update the YAML workload manifest in Git and see that the updates are applied to the application by the GitOps pipeline.

First, you will verify the number of pods running for the workload.

- Run the following command on the cluster

```
kubectl get pods -n gitops-workloads
```

You should see output similar to the following showing one pod running for each workload type

```
NAME                                              READY   STATUS    RESTARTS   AGE
helm-gitops-workload-webserver-5884bbbdf6-cx5rn   2/2     Running   0          23m
nginx-yaml-5978fbc565-hnsj4                       1/1     Running   0          37m
```

Now, you will update the workload manifest of the YAML workload in the repository and see that the YAML workload is updated on the cluster.

- In your Github repository, navigate to **/gitops-workload/YAML/yaml-workload.yaml**
- Update line number 9 to **replicas: 2**

- Click **Commit changes...**
- Click **Commit changes**

---

## Step 2: Approve Pipeline

In this step, you will approve the manifest update in the pipeline. Since the first stage of the pipeline is an approval stage, approving the update in the pipeline will allow the pipeline to progress to the next stages of applying the update to the workload. In this case, only the second stage, updating the YAML workload, will have any action, as the helm workload was not updated in Git.

- In your project, navigate to **GitOps -> Pipelines**
- Click on the **gitops-workloads** pipeline

You will see the pending approval.

- Click **Approve**

After a few seconds, you will see the pipeline job has completed.

Next, you will verify the number of pods running for the workload has increased to two.

- Run the following command on the cluster

```
kubectl get pods -n gitops-workloads
```

You should see output similar to the following showing two pods running for the YAML workload.

```
NAME                                              READY   STATUS    RESTARTS   AGE
helm-gitops-workload-webserver-5884bbbdf6-cx5rn   2/2     Running   0          29m
nginx-yaml-5978fbc565-j45j7                       1/1     Running   0          43m
nginx-yaml-5978fbc565-zsb4p                       1/1     Running   0          73s
```

---

## Step 3: Update Helm Workload

In this step, you will update the Helm workload values file in Git and see that the updates are applied to the application by the GitOps pipeline.

First, you will verify the number of pods running for the workload.

- Run the following command on the cluster

```
kubectl get pods -n gitops-workloads
```

You should see output similar to the following showing one pod running for the Helm workload.

```
NAME                                              READY   STATUS    RESTARTS   AGE
helm-gitops-workload-webserver-5884bbbdf6-cx5rn   2/2     Running   0          62m
nginx-yaml-5978fbc565-j45j7                       1/1     Running   0          76m
nginx-yaml-5978fbc565-zsb4p                       1/1     Running   0          34m
```

Now, you will update the custom values file of the Helm workload in the repository and see that the Helm workload is updated on the cluster.

- In your Github repository, navigate to **/gitops-workload/Helm/webserver/custom-values.yaml**
- Update line number 5 to **replicaCount: 2**

- Click **Commit changes...**
- Click **Commit changes**

---

## Step 4: Approve Pipeline

In this step, you will approve the Helm values update in the pipeline. Once the first pipeline stage is approved, the remaining stages will be processed. No action will be taken on the second pipeline stage as there were no changes to the YAML workload manifest. Since there were changes made to the Helm workload in Git, the pipeline will update the Helm workload.

- In your project, navigate to **GitOps -> Pipelines**
- Click on the **gitops-workloads** pipeline

You will see the pending approval.

- Click **Approve**

After a few seconds, you will see the pipeline job has completed.

Next, you will verify the number of pods running for the Helm workload has increased to two.

- Run the following command on the cluster

```
kubectl get pods -n gitops-workloads
```

You should see output similar to the following showing two pods running for both the Helm and YAML workloads.

```
NAME                                              READY   STATUS    RESTARTS   AGE
helm-gitops-workload-webserver-594ff85c84-2lwxc   2/2     Running   0          3m54s
helm-gitops-workload-webserver-5884bbbdf6-cx5rn   2/2     Running   0          72m
nginx-yaml-5978fbc565-j45j7                       1/1     Running   0          86m
nginx-yaml-5978fbc565-zsb4p                       1/1     Running   0          44m
```

---

## Recap

At this point, you have successfully set up a multistage GitOps pipeline for application lifecycle management of both YAML and Helm workloads.