This post was originally published on Yugabyte’s blog.
Spring Boot is one of the most popular frameworks for building cloud native applications. It makes configuring an application easy and offers tons of starters to get you off the ground quickly. Each Spring Boot application is stand-alone and self-contained, which makes them easy to deploy in a distributed fashion – to containers or, even better, on Kubernetes.
Yugabyte Cloud is a perfect match for Spring Boot applications, especially ones made highly available with Kubernetes. Yugabyte Cloud gives you a PostgreSQL-compatible database that is resilient and scalable, just like the applications you run on k8s. You can scale your YugabyteDB cluster out (or in) with just a few clicks. So you can spend less time worrying about running your database and more time focused on building better software. It’s cloud native SQL for cloud native applications. Sign up for Yugabyte Cloud today.
In this post, we’ll walk you through connecting a Spring Boot application to Yugabyte Cloud and deploying it on Kubernetes via Amazon Elastic Kubernetes Service (EKS). You can view our walkthrough on connecting a Spring Boot application to Yugabyte Cloud and deploying it on Kubernetes via Google Kubernetes Engine (GKE) here and via minikube here. We’ll be using a slightly updated version of the popular Spring Boot PetClinic sample application that has a profile making it compatible with YugabyteDB. The repository for this is at https://github.com/yugabyte/spring-petclinic.
In this walkthrough, you will:
- Create a free Yugabyte Cloud account and database cluster
- Download the Spring Boot PetClinic sample application and connect it to Yugabyte Cloud
- Containerize the Spring Boot PetClinic sample application
- Deploy the Spring Boot PetClinic sample application image to EKS
Note: Anything in brackets [ ] needs to be replaced with information from your deployment.
Create a free Yugabyte Cloud account and database cluster
Copy the default admin credentials by clicking the Copy Credentials link. Then check the “I have copied the admin credentials” checkbox and click the Create Cluster button.
In the Name text box, enter “all-ips”. In the IP Address(es) or Range text box, enter “0.0.0.0/0”. Click the Save button. This will allow traffic from all IP addresses to your cluster.
Your cluster is now created in Yugabyte Cloud and is accessible to all IP addresses. Leave this page open, as you’ll be accessing the Cloud Shell later to create an application database and user.
Download the Spring Boot PetClinic sample application and connect it to Yugabyte Cloud
Note: Instructions for how to connect this application to YugabyteDB are in
spring-petclinic/src/main/resources/db/yugabytedb/petclinic_db_setup_yugabytedb.md from the repo you clone below.
On your computer from terminal, clone the Spring Boot PetClinic sample application:
git clone https://github.com/yugabyte/spring-petclinic.git.
$ git clone https://github.com/yugabyte/spring-petclinic.git Cloning into 'spring-petclinic'... remote: Enumerating objects: 8616, done. remote: Counting objects: 100% (18/18), done. remote: Compressing objects: 100% (18/18), done. remote: Total 8616 (delta 1), reused 13 (delta 0), pack-reused 8598 Receiving objects: 100% (8616/8616), 7.29 MiB | 19.03 MiB/s, done. Resolving deltas: 100% (3268/3268), done.
Copy the contents of
Click the Launch Cloud Shell button.
Enter the admin password you copied previously. After you enter the password, you will have a standard YSQL shell (exactly like a PSQL shell in PostgreSQL) that you can interact with from your browser.
Password for user admin: ysqlsh (11.2-YB-188.8.131.52-b0) SSL connection (protocol: TLSv1.2, cipher: ECDHE-RSA-AES256-GCM-SHA384, bits: 256, compression: off) Type "help" for help. yugabyte=#
The PetClinic sample application is now connected to your Yugabyte Cloud cluster and running locally.
Containerize the Spring Boot PetClinic sample application
Start Docker on your computer and containerize your Spring Boot PetClinic sample application:
Tag your image:
docker tag [image_id] spring-petclinic– you can find your image id by running
docker image ls.
Run your image as a container in Docker to make sure it’s working correctly:
docker run -d --name=spring-petclinic -p 8080:8080 -e JAVA_OPTS="-Dspring.profiles.active=yugabytedb -Dspring.datasource.url=jdbc:postgresql://[host]:[port]/petclinic?load-balance=true -Dspring.datasource.initialization-mode=never" spring-petclinic.
a. Go to http://localhost:8080. The PetClinic sample application should be available.
The PetClinic sample application is now connected to your Yugabyte Cloud cluster and running locally on Docker.
Deploy the Spring Boot PetClinic sample application image to Amazon Elastic Kubernetes Service (EKS)
Go to https://aws.amazon.com/console/ and sign up for/sign in to Amazon Web Services (AWS).
On your computer from terminal, login to ECR with Docker:
aws ecr get-login-password --region [aws_region] | docker login --username AWS --password-stdin [aws_acct_id].dkr.ecr.[aws_region].amazonaws.com.
$ aws ecr get-login-password --region us-west-1 | docker login --username AWS --password-stdin 454529406029.dkr.ecr.us-west-1.amazonaws.com WARNING! Your password will be stored unencrypted in /Users/gavinjohnson/.docker/config.json. Configure a credential helper to remove this warning. See https://docs.docker.com/engine/reference/commandline/login/#credentials-store Login Succeeded
Tag your PetClinic image with your ECR repo:
docker tag spring-petclinic:latest [aws_acct_id].dkr.ecr.[aws_region].amazonaws.com/spring-petclinic:latest.
Push your PetClinic image to your repo in ECR:
docker push [aws_acct_id].dkr.ecr.[aws_region].amazonaws.com/spring-petclinic:latest.
$ docker push 454529406029.dkr.ecr.us-west-1.amazonaws.com/spring-petclinic:latest The push refers to repository [454529406029.dkr.ecr.us-west-1.amazonaws.com/spring-petclinic] 1dc94a70dbaa: Pushed 0d29ec96785e: Pushed 888ed16fa8d4: Pushed ...
On your computer from terminal, configure
kubectlto connect to your EKS cluster:
aws eks --region [aws_region] update-kubeconfig --name [cluster_name].
$ aws eks --region us-west-1 update-kubeconfig --name spring-petclinic Added new context arn:aws:eks:us-west-1:454529406029:cluster/spring-petclinic to /Users/gavinjohnson/.kube/config
Create a new file named
manifest-eks.yml, enter the following contents, and save:
apiVersion: v1 kind: Service metadata: name: spring-petclinic labels: run: spring-petclinic spec: selector: app: spring-petclinic ports: - protocol: TCP port: 80 targetPort: 8080 type: LoadBalancer --- apiVersion: apps/v1 kind: Deployment metadata: name: spring-petclinic labels: app: spring-petclinic spec: replicas: 2 selector: matchLabels: app: spring-petclinic template: metadata: labels: app: spring-petclinic spec: containers: - name: spring-petclinic image: [aws_acct_id].dkr.ecr.[aws_region].amazonaws.com/spring-petclinic:latest ports: - containerPort: 8080 env: - name: JAVA_OPTS value: "-Dspring.profiles.active=yugabytedb -Dspring.datasource.url=jdbc:postgresql://[host]:[port]/petclinic?load-balance=true -Dspring.datasource.initialization-mode=never"
Create the Service and Deployment on your EKS cluster:
kubectl create -f manifest-eks.yml.
$ kubectl create -f manifest-eks.yml service/spring-petclinic created deployment.apps/spring-petclinic created
Get the URL of the load balancer for the PetClinic app:
kubectl get svc.
$ kubectl get svc NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE kubernetes ClusterIP 10.100.0.1 <none> 443/TCP 20h spring-petclinic LoadBalancer 10.100.30.39 ad7029ef94fed4c06a25897baf9e3c31-1572590571.us-west-1.elb.amazonaws.com 80:30736/TCP 37s
The PetClinic sample application is now connected to your Yugabyte Cloud cluster and running on Kubernetes on EKS.