Multi Cloud Funqy Demo

Local

Launch application using:
```
./mvnw quarkus:dev
```

Test by issuing curl commands:

URL=http://localhost:8080
curl -X GET $URL/hello 
curl -d '"Funqy"' -X POST $URL/greet

Azure Function

Pre-requisites

AZ CLI
Azure Functions Core Tools (optional to run function locally)

Deploy

Export the following variables:

export GUID='guid'
export CLIENT_ID='client-id'
export PASSWORD='value'
export TENANT='tenant-value'
export SUBSCRIPTION='subscription-value'
export RESOURCEGROUP='resource-group'

az login --service-principal -u $CLIENT_ID -p $PASSWORD --tenant $TENANT

Build Azure Function and deploy it to Azure

./mvnw clean package -f pom-azure.xml -DskipTests -DtenantId=$TENANT \
-DfunctionResourceGroup=$RESOURCEGROUP azure-functions:deploy

Test by issuing curl commands with the URL from the deploy output:

URL=<URL from deploy output without ending slash>
curl -w '\nTime: %{time_total}s\n' -X GET $URL/hello 
curl -w '\nTime: %{time_total}s\n' -d '"Azure"' -X POST $URL/greet

AWS Lambda

Pre-requisites

Deploy

Build Lambda function

./mvnw clean package -f pom-aws.xml -DskipTests

Deploy Lambda to AWS

sam deploy -t target/sam.jvm.yaml --guided --capabilities CAPABILITY_NAMED_IAM

Alternatively you can use Native build and deploy to AWS

./mvnw clean package -f pom-aws.xml -DskipTests -Pnative -Dquarkus.native.container-build=true
sam deploy -t target/sam.native.yaml --guided --capabilities CAPABILITY_NAMED_IAM

Test by issuing curl commands with the URL from the deploy output:

URL=<URL from deploy output without ending slash>
curl -w '\nTime: %{time_total}s\n' -X GET $URL/hello 
curl -w '\nTime: %{time_total}s\n' -d '"AWS"' -X POST $URL/greet

Google Cloud Function

Pre-requisites

gcloud CLI

Deploy

Build Google Cloud Function

./mvnw clean package -f pom-gcp.xml -DskipTests

Deploy Function to GCP

gcloud functions deploy quarkus-funqy-http \
    --entry-point=io.quarkus.gcp.functions.http.QuarkusHttpFunction \
    --runtime=java11 --trigger-http --allow-unauthenticated --source=target/deployment

Test by issuing curl commands with the URL from the deploy output:

URL=<URL from deploy output>
curl -w '\nTime: %{time_total}s\n' -X GET $URL/hello 
curl -w '\nTime: %{time_total}s\n' -d '"GCP"' -X POST $URL/greet

KNative

Pre-requisites

oc (OpenShift) CLI
kn CLI
Install OpenShift Serverless Operator
1. Log into OpenShift Console with a cluster admin user
2. Navigate to Operators/OperatorHub
3. Search for Serverless and click on "Red Hat OpenShift Serverless"
4. Click on Install
5. Accept default values and click Install
6. Once Operator is installed, create Knative Serving instance by running this command:
```
oc apply -f knative/serving.yaml
```

Deploy

Build KNative Function and deploy it to OpenShift (requires podman desktop/docker running to deploy):

oc login --token=<token> --server=<api-url>
oc new-project funqy-knative
kn func deploy

Alternatively you can deploy function using previously published public image:

kn func deploy --build=false --push=false --registry quay.io --image quay.io/jbaldera/funqy-knative:1.0

Test by issuing curl commands with the URL from the deploy output:

URL=<URL from deploy output>
curl -w '\nTime: %{time_total}s\n' -X GET $URL/hello 
curl -w '\nTime: %{time_total}s\n' -d '"KNative"' -X POST $URL/greet

yortch / funqy-multi-cloud Goto Github PK

funqy-multi-cloud's Introduction

Multi Cloud Funqy Demo

Local

Azure Function

Pre-requisites

Deploy

AWS Lambda

Pre-requisites

Deploy

Google Cloud Function

Pre-requisites

Deploy

KNative

Pre-requisites

Deploy

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