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LehaUchicha
LehaUchicha

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Google Cloud Platform: Deploy simple Java Spring boot application

#java #googlecloud #springboot #tutorial

Hey, dev.to!

In this article I'll show you an example how to deploy simple java application in Google Cloud Platform (GCP).

What exactly we will do:

  • Create a simple java application with Spring Boot
  • Create a docker image for application
  • Deploy the application in Google Cloud Platform
  • Create pipeline using Google Cloud Build for building CI/CD
  • Connect our application to the database using Google Cloud Sql + Google Cloud SQL Auth Proxy and add liquibase for managing database changes.
  • Use k8s secrets and Google Cloud Secret Manager

Overview

The goal of article is show how to work with GCP, that is why we will create a simple java application with single entity Post and a couple of entrypoints, which will allow CRUD operations only.

We will develop CI/CD flow as on diagram below:
CI/CD flow

Prerequisites

We need to create a google cloud account.

For that:

  1. Create temporary Gmail account
  2. Navigate to the https://cloud.google.com/ and press Get started for free get started
  3. Fill up your credit card and personal details
  4. Start my free trial image

Application

Clone application from github. Project already contains Dockerfile, cloudbuild.yaml and deployment.yaml file. Needs only update gcp project number [your_project_id].

git clone https://github.com/LehaUchicha/gcp-project.git
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Manual Build Docker Image

  • Create a Cloud Source Repository with our gcp-project.
  • Add a Dockerfile file into your repository to build your app.
  • Test the created Docker image.
  • Push the Docker image into the Artifact Repository.

Go to the GCP and open GCP console:

  1. Create the repository

      gcloud source repos create gcp-project

  2. Clone the repos

      gcloud source repos clone gcp-project

  3. Create an image for project

      docker build -t gcp-project:0.0.1 .

  4. Run docker iamge

      docker run -p 8080:8080 gcp-project:0.0.1 &

  5. Test docker container

      curl localhost:8080/posts

  6. Create Docker repository

    gcloud artifacts repositories create gcp-project-docker-repo --repository-format=docker \
--location=us-central1 --description="Docker repository for gcp project"

    Verify that repository was created

    gcloud artifacts repositories list

  7. Configure authentication to docker

      gcloud auth configure-docker us-central1-docker.pkg.dev

  8. Tag the image

    Get the project name

      gcloud config get-value project

    Then execute command below:

      docker tag gcp-project:0.0.1 us-central1-docker.pkg.dev/gcp-project-[your_project_id]/gcp-project-docker-repo/gcp-project:0.0.1

Where

  • PROJECT is your Google Cloud project ID. If your project ID contains a colon (:), see Domain-scoped projects.
  • us-central1 is the repository location.
  • docker.pkg.dev is the hostname for Docker repositories.
  • quickstart-image is the image name you want to use in the repository. The image name can be different than the local image name.
  • tag1 is a tag you're adding to the Docker image. If you didn't specify a tag, Docker will apply the default tag latest.

  1. Push the docker image to repo

    docker push us-central1-docker.pkg.dev/gcp-project-[your_project_id]/gcp-project-docker-repo/gcp-project:0.0.1

or

  ```
  gcloud builds submit --tag us-central1-docker.pkg.dev/PROJECT/gcp-project-docker-repo/gcp-project:0.0.1
  ```
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Automate Build Docker Image:

  • Create a pipeline in Cloud Build to build a Docker image when the source code changes.

  1. create a build pipeline cloudbuild.yaml

    steps:
 - name: 'gcr.io/cloud-builders/docker'
   args: [ 'build', '-t', 'us-central1-docker.pkg.dev/gcp-project-[your_project_id]/gcp-project-docker-repo/gcp-project:0.0.1', '.' ]
 - name: 'gcr.io/cloud-builders/docker'
   args: [ 'push', 'us-central1-docker.pkg.dev/gcp-project-[your_project_id]/gcp-project-docker-repo/gcp-project:0.0.1' ]
images: ['us-central1-docker.pkg.dev/gcp-project-[your_project_id]/gcp-project-docker-repo/gcp-project:0.0.1']

  2. Run the pipeline using command

      gcloud builds submit --config cloudbuild.yaml

  3. Create the trigger

    gcloud beta builds triggers create cloud-source-repositories --repo=gcp-project --branch-pattern=master --build-config=cloudbuild.yaml

Where:

  • REPO_NAME is the name of your repository.
  • BRANCH_PATTERN is the branch name in your repository to invoke the build on.
  • TAG_PATTERN is the tag name in your repository to invoke the build on.
  • BUILD_CONFIG_FILE is the path to your build configuration file.
  • SERVICE_ACCOUNT is the email associated with your service account. If you don't include this flag, the default Cloud Build service account is used.

Manual Docker Image Deployment:

  • Use the image to create and expose a deployment in k8s.
  • Update the image and push a change to the deployment.

Work with cluster:

  1. Create the cluster

    gcloud container clusters create nginx-1-cluster --zone=us-central1-a

  2. Authenticate to the cluster

    gcloud container clusters get-credentials nginx-1-cluster --zone=us-central1-a

  3. Create deployment.yaml

    apiVersion: apps/v1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
generation: 1
labels:
app: gcp-project
name: nginx-1
namespace: default
spec:
progressDeadlineSeconds: 600
replicas: 2
revisionHistoryLimit: 10
selector:
matchLabels:
  app: gcp-project
strategy:
rollingUpdate:
  maxSurge: 25%
  maxUnavailable: 25%
type: RollingUpdate
template:
metadata:
  creationTimestamp: null
  labels:
    app: gcp-project
spec:
  serviceAccountName: sql-service-account
  containers:
  - name: gcp-project-sha256-1
    image: INIT_IMAGE_NAME
    imagePullPolicy: Always
    env:
    - name: DB_USER
      valueFrom:
        secretKeyRef:
          name: postgres-db-secret
          key: database
    - name: DB_PASS
      valueFrom:
        secretKeyRef:
          name: postgres-db-secret
          key: password
    - name: DB_NAME
      valueFrom:
        secretKeyRef:
          name: postgres-db-secret
          key: database
    resources: {}
    terminationMessagePath: /dev/termination-log
    terminationMessagePolicy: File

  4. Apply deployment using command

    kubectl apply -f deployment.yaml

Automate Docker Image Deployment:

  • Create a pipeline in Cloud Build to deploy a new version of your image when the source code changes.

  1. Modify cloudbuild.yaml file. Needs to add steps, where new image version should be set in the deployment.yaml

    - id: Update Image Tag
name: ubuntu
args: [ 'bash','-c','sed -i "s|INIT_IMAGE_NAME|us-central1-docker.pkg.dev/gcp-project-322518/gcp-project-docker-repo/gcp-project:$SHORT_SHA|" k8s/deployment.yaml' ]

  2. Modify cloudbuild.yaml file. Needs to apply updated deployment.yaml

    - id: Updating Deployment
name: gcr.io/cloud-builders/kubectl
args: ['apply','-f','k8s/deployment.yaml']
env:
- CLOUDSDK_COMPUTE_ZONE=us-central1-a
- CLOUDSDK_CONTAINER_CLUSTER=nginx-1-cluster

Connect to Database using Cloud SQL Auth Proxy.

  1. Create sql instance with private IP. (or both: private and public)

  2. For getting access for application to Cloud Sql, needs to configure SQL Auth Proxy.
    You can find detailed instruction here: https://cloud.google.com/sql/docs/mysql/connect-kubernetes-engine.

Create secrets

kubectl create secret generic postgres-db-secret> \
--from-literal=username=db_username \
--from-literal=password=db_pass \
--from-literal=database=db_database
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Enable Workload Identity on your cluster

gcloud container clusters update nginx-1-cluster \
--workload-pool=gcp-project-322518.svc.id.goog
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Create service-account.yaml

apiVersion: v1
kind: ServiceAccount
metadata:
  name: <YOUR-KSA-NAME> # TODO(developer): replace these values
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Apply file

kubectl apply -f service-account.yaml
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Enable the IAM binding between your YOUR-GSA-NAME and YOUR-KSA-NAME

gcloud iam service-accounts add-iam-policy-binding \
--role="roles/iam.workloadIdentityUser" \
--member="serviceAccount:gcp-project-[your_project_id].svc.id.goog[default/sql-service-account]" \
postgres-service-account@gcp-project-[your_project_id].iam.gserviceaccount.com
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Add an annotation to YOUR-KSA-NAME to complete the binding

kubectl annotate serviceaccount \
sql-service-account \
iam.gke.io/gcp-service-account=postgres-service-account@gcp-project-[your_project_id].iam.gserviceaccount.com
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Manual SQL migration scripts

  1. Add liquibase library to pom.xml

    <dependency>
<groupId>org.liquibase</groupId>
<artifactId>liquibase-core</artifactId>
</dependency>

  2. Create migration scripts. File db.changelog-0.0.0.yaml

    databaseChangeLog:
- changeSet:
  id: create-table-posts
  author: aleksei
  preConditions:
    - onFail: MARK_RAN
      not:
        tableExists:
          tableName: posts
  changes:
    - createTable:
        columns:
          - column:
              autoIncrement: true
              constraints:
                nullable: false
                primaryKey: true
                primaryKeyName: posts_pkey
              name: id
              type: BIGINT
          - column:
              constraints:
                nullable: false
              name: title
              type: VARCHAR(250)
          - column:
              name: description
              type: VARCHAR(250)
          - column:
              constraints:
                nullable: false
              name: full_text
              type: VARCHAR(250)
          - column:
              constraints:
                nullable: false
              name: author
              type: VARCHAR(250)
        tableName: posts

and file db.changelog-master.yaml

  ```yaml
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databaseChangeLog:

  • include: file: db/changelog/db.changelog-0.0.0.yaml ```

  1. Run script using command:

      mvn liquibase:update

Automate SQL migration scripts

Modify cloudbuild.yaml file. add such fragments:

#Step 3. Install Cloud SQL proxy
- id: Install Cloud Sql Auth Proxy
  name: maven:3-jdk-11
  entrypoint: sh
  args:
    - "-c"
    - "wget https://dl.google.com/cloudsql/cloud_sql_proxy.linux.amd64 -O cloud_sql_proxy && chmod +x cloud_sql_proxy"

#Step 4. Run migration scripts using liquibase
- id: Run migration scripts
  name: maven:3-jdk-11
  entrypoint: sh
  args:
    - "-c"
    - "(./cloud_sql_proxy -instances=gcp-project-[your_project_id]:us-central1:postgre-instance=tcp:localhost:5432 & sleep 2) && mvn liquibase:update -Dliquibase.url=jdbc:postgresql://$$DB_HOST/$$DB_NAME -Dliquibase.username=$$DB_USER -Dliquibase.password=$$DB_PASS"
  timeout: "150s"
  secretEnv: ['DB_PASS', 'DB_USER', 'DB_HOST', 'DB_NAME']
  waitFor: ["Install Cloud Sql Auth Proxy"]
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Step 3 required for installing Cloud SQL Auth proxy, otherwise, it will be impossible to connect to Postgres sql.

Step 4. will run Cloud SQL Auth proxy then will run liquibase command for migration.

Here such secrets as DB_PASS', 'DB_USER', 'DB_HOST', 'DB_NAME' comes from Secret management.
Fod fetch secrets from secrets manager needs to modify cloudbuild.yaml

availableSecrets:
  secretManager:
    - versionName: projects/[project_id]/secrets/POSTGRES_PASSWORD/versions/2
      env: 'DB_PASS'
    - versionName: projects/[project_id]/secrets/POSTGRES_USERNAME/versions/1
      env: 'DB_USER'
    - versionName: projects/[project_id]/secrets/POSTGRES_HOST/versions/2
      env: 'DB_HOST'
    - versionName: projects/[project_id]/secrets/POSTGRES_DATABASE/versions/1
      env: 'DB_NAME'
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Expose your service over Cloud Load Balancer with external static IP address

  1. Create service.yaml

    apiVersion: v1
kind: Service
metadata:
annotations:
cloud.google.com/neg: '{"ingress":true}'
finalizers:
- service.kubernetes.io/load-balancer-cleanup
labels:
app: gcp-project
spec:
clusterIP: 10.64.3.149
clusterIPs:
- 10.64.3.149
externalTrafficPolicy: Cluster
ports:
- nodePort: 32412
port: 80
protocol: TCP
targetPort: 8080
selector:
app: gcp-project
sessionAffinity: None
type: LoadBalancer
status:
loadBalancer:
ingress:
- ip: 34.123.209.167

  2. Execute command:

      kubectl apply -f service.yaml

You are still here ? Wow! Thank you for reading!
If it will be usefull to make this article more detailed, please, let me know in the comments.
If you like an article, you can support me by buying me a coffee

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