writeups/google-cloudskillsboost: [GSP305]
Scale Out and Update a Containerized Application on a Kubernetes Cluster
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---
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title: "[GSP305] Scale Out and Update a Containerized Application on a Kubernetes Cluster"
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description: ""
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summary: "Quest: Cloud Architecture: Design, Implement, and Manage"
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date: 2023-05-25T07:55:03+07:00
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draft: false
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author: "Hiiruki" # ["Me", "You"] # multiple authors
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tags: ["writeups", "challenge", "google-cloudskillsboost", "gsp305", "google-cloud", "cloudskillsboost", "juaragcp", "google-cloud-platform", "gcp", "container", "kubernetes", "cloud-computing", "cloud", "cloud-architecture"]
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# URL: "https://github.com/hiiruki/hiiruki.dev/blob/main/content/writeups/google-cloudskillsboost/GSP304/index.md"
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---
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### GSP305
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![Lab Banner](https://cdn.qwiklabs.com/GMOHykaqmlTHiqEeQXTySaMXYPHeIvaqa2qHEzw6Occ%3D#center)
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---
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- Time: 1 hour<br>
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- Difficulty: Intermediate<br>
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- Price: 5 Credits
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Lab: [GSP305](https://www.cloudskillsboost.google/focuses/1739?parent=catalog)<br>
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Quest: [Cloud Architecture: Design, Implement, and Manage](https://www.cloudskillsboost.google/quests/124)<br>
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🔄 Last updated: Sep 7, 2023
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---
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## Challenge scenario
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You are taking over ownership of a test environment and have been given an updated version of a containerized test application to deploy. Your systems' architecture team has started adopting a containerized microservice architecture. You are responsible for managing the containerized test web applications. You will first deploy the initial version of a test application, called `echo-app` to a Kubernetes cluster called `echo-cluster` in a deployment called `echo-web`.
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Before you get started, open the navigation menu and select **Cloud Storage**. The last steps in the Deployment Manager script used to set up your environment creates a bucket.
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Refresh the Storage browser until you see your bucket. You can move on once your Console resembles the following:
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![bucket](./images/bucket.webp#center)
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Check to make sure your GKE cluster has been created before continuing. Open the navigation menu and select **Kubernetes Engine** > **Clusters**.
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Continue when you see a green checkmark next to `echo-cluster`:
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![kubernetes cluster](./images/kubernetes_cluster.webp#center)
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To deploy your first version of the application, run the following commands in Cloud Shell to get up and running:
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```bash
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gcloud container clusters get-credentials echo-cluster --zone=us-central1-a
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```
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```bash
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kubectl create deployment echo-web --image=gcr.io/qwiklabs-resources/echo-app:v1
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```
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```bash
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kubectl expose deployment echo-web --type=LoadBalancer --port 80 --target-port 8000
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```
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## Your challenge
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You need to update the running `echo-app` application in the `echo-web` deployment from the v1 to the v2 code you have been provided. You must also scale out the application to 2 instances and confirm that they are all running.
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1. Check that there is a tagged image in gcr.io for echo-app:v2.
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```bash
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mkdir echo-web
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cd echo-web
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gsutil cp -r gs://$DEVSHELL_PROJECT_ID/echo-web-v2.tar.gz .
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tar -xzf echo-web-v2.tar.gz
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rm echo-web-v2.tar.gz
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docker build -t echo-app:v2 .
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docker tag echo-app:v2 gcr.io/$DEVSHELL_PROJECT_ID/echo-app:v2
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docker push gcr.io/$DEVSHELL_PROJECT_ID/echo-app:v2
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```
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2. Echo-app:v2 is running on the Kubernetes cluster.
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Deploy the first version of the application.
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```bash
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gcloud container clusters get-credentials echo-cluster --zone=us-central1-a
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kubectl create deployment echo-web --image=gcr.io/qwiklabs-resources/echo-app:v1
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kubectl expose deployment echo-web --type=LoadBalancer --port 80 --target-port 8000
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```
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Edit the `deployment.apps` file.
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```bash
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kubectl edit deploy echo-web
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```
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Start the editor by type `i`. Change `image=...:v1` to `image=...:v2`.
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`image=gcr.io/qwiklabs-resources/echo-app:v2`
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Save the `deployment.apps` file, hit **ESC** then type `:wq` and **Enter**.
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3. The Kubernetes cluster deployment reports 2 replicas.
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```bash
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kubectl scale deployment echo-web --replicas=2
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```
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4. The application must respond to web requests with V2.0.0.
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```bash
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kubectl expose deployment echo-web --type=LoadBalancer --port 80 --target-port 8000
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kubectl get svc
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```
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## Congratulations!
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