akatranlp / hsfl-master-ai-cloud-engineering

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How to deploy our application

Create own .env file from .env-example. This includes every configuration for local or kubernetes deployments. Especially AUTH_IS_ACTIVE can be changed from true to false or vise versa, to enable or disable the need of an accessToken when talking to the service endpoints.

Create own ./src/reverse-proxy/config.yaml from ./src/reverse-proxy/config-example.yaml. You don't need to edit this file in the normal case.

The docker-compose-files include this automatically and in the scripts under ./kubernetes/application the .env is loaded and the values from it are used to generate secrets and configMaps.

You need to create an RSA-KeyPair, which is used to sign and validate the JWT-Tokens our user-service produces.

mkdir -p ./src/user-service/certs
cd ./src/user-service/certs
openssl genrsa -out access-key.pem 2048
openssl rsa -in access-key.pem -outform PEM -pubout -out access-public.pem
openssl genrsa -out refresh-key.pem 2048
openssl rsa -in refresh-key.pem -outform PEM -pubout -out refresh-public.pem

Deploy locally for dev or testing

Always execute the following command to start backend and frontend in docker

# with gRPC Communication between services:
docker compose up -d --build

# without
docker compose -f docker-compose-no-grpc.yaml up -d --build

# with our own loadbalancer and orchestrator
docker compose -f docker-compose-loadbalance.yaml up -d --build

If you want to develop on the frontend execute this commands to get hot-reload on it.

cd ./src/web-service
pnpm install
pnpm dev

Deploy production version on kubernetes

You first need to complete the steps up above and then execute this bunch of commands in the specified order to deploy the whole application. These comands are also in another script under ./scripts/k8s-deploy.sh. Use it with the argument deploy to deploy the application to your current k8s-cluster.

kubectl apply -f ./kubernetes/application/namespace.yaml
kubectl apply -f ./kubernetes/application
./kubernetes/application/create-application-config.sh
./kubernetes/application/load-postgres-secret.sh
./kubernetes/application/load-user-cert.sh
./kubernetes/application/load-test-data-config.sh
kubectl apply -f ./kubernetes/application/db
kubectl apply -f ./kubernetes/application/test-data-service
kubectl apply -f ./kubernetes/application/user-service
kubectl apply -f ./kubernetes/application/book-service
kubectl apply -f ./kubernetes/application/transaction-service
kubectl apply -f ./kubernetes/application/web-service

How to deploy monitoring software on the kubernetes cluster

As an addition to our application, we also have manifests to monitor your cluster with prometheus and grafana. Deploy them with the following commands.

kubectl apply -f ./kubernetes/monitoring
kubectl apply -f ./kubernetes/monitoring/prometheus
kubectl apply -f ./kubernetes/monitoring/grafana
kubectl apply -f ./kubernetes/monitoring/kube-state-metrics

Our grafana dashboard is located at ./kubernetes/monitoring/grafana/dashboard.json, which includes graphs to check the current memory-usage and cpu-utility aswell as the incoming and outgoing network traffic.

Authors

Fabian Petersen
[email protected]
Hochschule Flensburg

Pascal Friedrichsen
[email protected]
Hochschule Flensburg

Dominik Heckner
[email protected]
Hochschule Flensburg