Introduction customer-profile

customer-profile provides you an out-of-the-box application setup to implement your business logic. It is based on the commonly known 3-layered application architecture in where the package api provides the presentation layer, domain provides the services and business domain and finally the data package provides you the capability to persist your domain.

It is leveraging Spring Boot as a technology stack, which provides:

• a way to implement REST(ful) API using Spring Web annotations
• generation of the OpenAPI definition based on your code
• data persistence using Spring Data JPA (now PostgreSQL is supported, but other databases can be easily added)
• an Inversion of Control Container to wire together your classes at running without the need to write tightly-coupled code

The application contains example code implementing REST API to write and read customer profile information to and from database. This example is intended to showcase best practices around using Spring Boot and it's libraries as well as different types of tests which can be utilized to verify different parts of an application.

Prerequisites

In order to further develop this application the following tools needs to be setup:

• Java Development Kit (https://bell-sw.com/)
• Visual Studio Code or IntelliJ IDEA as Integrated Development Environment (IDE)
• Tanzu Developer Tools plugin for mentioned IDE
• Docker Desktop to execute integration tests or run the application locally

Local

Build

In order to compile the production code:

./mvnw clean compile

After that it is a good habit to compile the test classes and execute those tests to see if your application is still behaving as you would expect:

./mvnw verify

Start and interact

Spring Boot has its own integrated Web Server (Apache Tomcat (https://tomcat.apache.org/)). In order to start the application a PostgreSQL instance should be running.

Running a PostgreSQL instance can easily be done by using docker-compose:

docker-compose up -d

Launch application using profile local:

./mvnw spring-boot:run -Dspring-boot.run.profiles=local

OpenApi Definition

You can access the API docs using curl:

curl http://localhost:8080/api-docs  

Create customer profile

You can access the customer-profiles API endpoint using curl:

curl -X POST -H 'Content-Type: application/json' http://localhost:8080/api/customer-profiles/ -d '{"firstName": "Joe", "lastName": "Doe", "email": "[email protected]"}'

Get customer profile

Use the id received by previous POST call.

curl -X GET http://localhost:8080/api/customer-profiles/{id}

Deployment

Tanzu Application Platform (TAP)

Using the config/workload.yaml it is possible to build, test and deploy this application onto a Kubernetes cluster that is provisioned with Tanzu Application Platform (https://tanzu.vmware.com/application-platform).

As with the local deployment a PostgreSQL instance needs to be available at the cluster. When using VMware Tanzu SQL with Postgres for Kubernetes (https://tanzu.vmware.com/sql and https://docs.vmware.com/en/VMware-Tanzu-SQL-with-Postgres-for-Kubernetes/index.html), one could apply for an instance, and it will be automatically provisioned.

Note: please define the storage class to be used for the PostgreSQL storage.

kubectl apply -f config/postgres.yaml

The workload.yaml contains a reference to the PostgreSQL instance.

Note: if your postgres instance is in another namespace than your developer namespace, add the following to the workload.yaml:

       annotations:
         serviceclaims.supplychain.apps.x-tanzu.vmware.com/extensions: '{"kind":"ServiceClaimsExtension","apiVersion":"supplychain.apps.x-tanzu.vmware.com/v1alpha1", "spec":   {"serviceClaims":{"db":{"namespace":"<database namespace>"}}}}'

Before deploying your application a Tekton Pipeline responsible for the testing step shall be created in your application namespace. Please execute following command.

kubectl apply -f config/test-pipeline.yaml

Tanzu CLI

Using the Tanzu CLI one could apply the workload using the local sources:

tanzu apps workload apply \
  --file config/workload.yaml \
  --namespace <namespace> --source-image <image-registry> \
  --local-path . \
  --yes \
  --tail

Note: change the namespace to where you would like to deploy this workload. Also define the (private) image registry you are allowed to push the source-image, like: docker.io/username/repository.

Visual Studio Code Tanzu Plugin

When developing local but would like to deploy the local code to the cluster the Tanzu Plugin could help. By using Tanzu: Apply on the workload.yaml it will create the Workload resource with the local source (pushed to an image registry) as starting point.

How to proceed from here?

Having the application locally running and deployed to a cluster you could add your domain logic, related persistence and new RESTful controller.