https://github.com/jeffgbutler/java-payment-calculator

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Host: GitHub
URL: https://github.com/jeffgbutler/java-payment-calculator
Owner: jeffgbutler
License: mit
Created: 2021-06-23T20:03:16.000Z (almost 4 years ago)
Default Branch: main
Last Pushed: 2024-04-26T21:42:51.000Z (about 1 year ago)
Last Synced: 2025-01-29T15:50:37.338Z (5 months ago)
Language: Java
Size: 43.9 KB
Stars: 0
Watchers: 3
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

# Java Payment Calculator

This is a Spring Boot microservice that calculates a loan payment. It will run locally, on Cloud Foundry, or
containerized in Docker or Kubernetes.

The default page will show the Swagger UI. Spring Boot actuators are also available at `/actuator`.

In any deployment option, the application can be exercised with the traffic simulator here:
https://jeffgbutler.github.io/payment-calculator-client/ (Kubernetes deployments need an exposed IP address or name)

## Spring Profiles and Redis
The application includes configuration for Redis when the Spring profile "redis" is enabled.

When running with the "redis" profile enabled the application requires, and will connect to, a Redis cache.
When running without the "redis" profile enabled, the application will use an in-memory cache to simulate Redis.

The application uses Spring Boot's auto-configuration for Redis which is based on properties.
Important properties are these:

- `spring.data.redis.host`
- `spring.data.redis.port`
- `spring.data.redis.password`

The documentation to all possible Redis properties is here:
https://github.com/spring-projects/spring-boot/blob/main/spring-boot-project/spring-boot-autoconfigure/src/main/java/org/springframework/boot/autoconfigure/data/redis/RedisProperties.java

Property based configuration is different depending on the deployment target (see below).

## Deploying to Cloud Foundry

The application expects to be bound to Redis service instance named "java-calculator-redis" on Cloud Foundry. You can
change this name by modifying [manifest.yml](manifest.yml)

On application startup, the [CFEnv](https://github.com/pivotal-cf/java-cfenv)
library will automatically introspect the Cloud Foundry environment variables and
translate Redis credentials into the proper environment variables for Spring Boot auto-configuration. Magic!

When not deployed on Cloud Foundry, no environment variables will be set automatically.

Deploy the application to Cloud Foundry with the following commands:

```shell
./mvnw clean package

cf push
```

## Deploying to Tanzu Application Platform (TAP)

The application can be deployed to TAP using the out-of-the-box supply chain with the following command:

```shell
tanzu apps workload create java-payment-calculator \
--git-repo https://github.com/jeffgbutler/java-payment-calculator \
--git-branch main \
--type web \
--label app.kubernetes.io/part-of=java-payment-calculator \
--label apps.tanzu.vmware.com/has-tests=true \
--annotation autoscaling.knative.dev/minScale=1 \
--build-env "BP_JVM_VERSION=21" \
--namespace
```

Once deployed to TAP, you can add the application to the TAP GUI by registering the following catalog entry:
https://github.com/jeffgbutler/java-payment-calculator/blob/main/catalog/catalog-info.yaml

## Deploying to Docker

The application is configured to create an image named "jeffgbutler/payment-calculator". You can change
this by modifying [pom.xml](pom.xml).

1. Build the image with the following:

```shell
./mvnw clean spring-boot:build-image
```

1. Push image to Docker Hub (login to Docker Hub first with `docker login`):

```shell
docker push jeffgbutler/payment-calculator
```

1. Create a network in Docker so the payment calculatro can find Redis by DNS name:

```shell
docker network create payment-calculator-network
```

1. Start Redis in Docker:

```shell
docker run --name redis --detach --network payment-calculator-network redis
```

This will make a Redis instance available in the `payment-calculator-network` at DNS name "redis" and port "6397".
Note that this Redis instance will not persist any data and has no password - so use this for testing only!

1. Start the Payment Calculator in Docker:

```shell
docker run --detach --publish 8080:8080 \
--env spring.data.redis.host=redis \
--env spring.data.redis.port=6379 \
--env spring.profiles.active=redis \
--network payment-calculator-network \
jeffgbutler/payment-calculator
```

The application will be available at http://localhost:8080

After testing, cleanup Docker by following these steps:

1. Run `docker ps` to get the container IDs for Redis and the payment calculator
1. Run `docker stop ` for each image ID
1. Run `docker system prune` to remove the stopped images, and the network (you can also use `docker system prune -a` to
remove all unused images from your local image cache)

## Using Tanzu Build Service

This application can be built using Tanzu Build Service (TBS). For example, this command will create a TBS
image and publish it to a harbor instance:

```shell
kp image create java-payment-calculator --tag harbor.tanzuathome.net/tbs-builds/java-payment-calculator \
--git https://github.com/jeffgbutler/java-payment-calculator --wait
```

## Deploying to Tanzu Cloud Native Runtimes (Knative)

(These directions assume that Tanzu Cloud Native Runtimes is installed and configured on your cluster)

The application is configured to create an image named "jeffgbutler/payment-calculator". You can change
this by modifying [pom.xml](pom.xml).

1. Create a Redis instance on your Kubernetes cluster. One simple way to do this is to deploy a single pod with Redis
and expose it with a ClusterIP service:

```shell
kubectl run redis --image redis

kubectl expose pod redis --type=ClusterIP --port=6379 --target-port=6379
```

This will make a Redis instance available in the cluster at DNS name "redis" and port "6397". Note that
this Redis instance will not persist any data and has no password - so use this for testing only!

2. Build the image with the following:

```shell
./mvnw clean spring-boot:build-image
```

3. Push image to Docker Hub (login to Docker Hub first with `docker login`):

```shell
docker push jeffgbutler/payment-calculator
```

4. Install with Cloud Native Runtimes (Knative):

Note: change the values for "spring.data.redis.host" and "spring.data.redis.port" as appropriate for your cluster.
The values below work with the simple Redis pod and service created above.

If you built the container image using Tanzu Build service, the command will look like this:

```shell
kn service create payment-calculator \
--image harbor.tanzuathome.net/tbs-builds/java-payment-calculator@sha256:6a9c53d98a2426ba4b4b24ee10128950fd2c7a1acbd242928d2b274db273b5cb \
--port 8080 \
--env spring.data.redis.host=redis \
--env spring.data.redis.port=6379 \
--env spring.profiles.active=redis
```

To update an image after a build, the command looks like this:

```shell
kubectl edit ksvc payment-calculator
```

If you have a Wavefront proxy installed in your cluster, you can use it with the following command:

```shell
kn service create payment-calculator \
--image jeffgbutler/payment-calculator --port 8080 \
--env spring.data.redis.host=redis \
--env spring.data.redis.port=6379 \
--env spring.profiles.active=redis,wavefront \
--env management.wavefront.uri=proxy://wavefront-proxy.wavefront.svc.cluster.local:2878
```

The output of the `kn` command will tell you the URL for the service. You can also retrieve the URL
with the following command:

```shell
kn service describe payment-calculator
```

After testing, cleanup your cluster with the following commands:

```shell
kn service delete payment-calculator

kubectl delete service redis

kubectl delete pod redis
```

## Deploying to Kubernetes Directly

the application is configured to create an image named "jeffgbutler/payment-calculator". You can change
this by modifying [pom.xml](pom.xml).

1. Create a Redis instance on your Kubernetes cluster. One simple way to do this is to deploy a single pod with Redis
and expose it with a ClusterIP service:

```shell
kubectl run redis --image redis

kubectl expose pod redis --type=ClusterIP --port=6379 --target-port=6379
```

This will make a Redis instance available in the cluster at DNS name "redis" and port "6397". Note that
this Redis instance will not persist any data and has no password - so use this for testing only!

1. Build the image with the following:

```shell
./mvnw clean spring-boot:build-image
```

1. Push image to Docker Hub (login to Docker Hub first with `docker login`):

```shell
docker push jeffgbutler/payment-calculator
```

1. Create Deployment:

Note: change the values in [paymentCalculatorDeployment.yml](kubernetes/paymentCalculatorDeployment.yml)
for "spring.data.redis.host" and "spring.data.redis.port" as appropriate for your cluster.
The values in that configuration work with the simple Redis pod and service created above.

```shell
kubectl create -f ./kubernetes/paymentCalculatorDeployment.yml
```

If you have a Wavefront proxy installed in your cluster, you can use it with this deployment instead:

```shell
kubectl create -f ./kubernetes/paymentCalculatorDeploymentWithWavefront.yml
```

1. Create Service

Note: the service configuration assumes you have a load balancer available in your cluster. If not,
you can change the service type to "NodePort" in [paymentCalculatorService.yml](kubernetes/paymentCalculatorService.yml)

```shell
kubectl create -f ./kubernetes/paymentCalculatorService.yml
```

You can retrieve the IP address of the service with the following command:

```shell
kubectl get service payment-calculator
```

After testing, cleanup your cluster with the following commands:

```shell
kubectl delete -f ./kubernetes/paymentCalculatorService.yml

kubectl delete -f ./kubernetes/paymentCalculatorDeployment.yml

kubectl delete service redis

kubectl delete pod redis
```

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