Scale down minikube specs and runner (#245)

* Scale down minikube specs and runner

* Scale down registry-cache and minikube again

* Use runner which can be used in a public repo

* Increase minikube size for services without resource requests

Also rename github action

.github/workflows/integration.yml

@@ -1,4 +1,4 @@
-name: Docker Compose integration tests
+name: Minikube Integration Tests
 
 on:
   push:
@@ -50,7 +50,7 @@ permissions:
 
 jobs:
   integration:
-    runs-on: gha-ubuntu-32
+    runs-on: gha-ubuntu-8
     steps:
       - uses: actions/checkout@v4
         with:

README.md

@@ -13,7 +13,7 @@
 ### Minimum Requirements
 
 - **CPU:** 8 cores
-- **Memory:** 64 GB RAM
+- **Memory:** 16 GB RAM
 - **Storage:** 100 GB available disk space
 - **Network:** Stable internet connection for downloading dependencies
 
@@ -137,4 +137,4 @@ kubectl logs -n crs <pod-name> -f
 - [Manual Setup Guide](MANUAL_SETUP.md) - Detailed manual installation steps
 - [AKS Deployment Guide](AKS_DEPLOYMENT.md) - Production deployment on Azure
 - [Contributing Guidelines](CONTRIBUTING.md) - Development workflow and standards
-- [Deployment Documentation](deployment/README.md) - Advanced deployment configuration
+- [Deployment Documentation](deployment/README.md) - Advanced deployment configuration

deployment/crs-architecture.sh

@@ -87,7 +87,7 @@ up() {
 				;;
 			*)
 				echo -e "${BLU}Deploying minikube cluster${NC}"
-				minikube status | grep -q "kubelet: Running" || minikube start --force --extra-config=kubeadm.skip-phases=preflight --cpus=8 --memory=32g --disk-size=80g --driver=docker --kubernetes-version=stable
+				minikube status | grep -q "kubelet: Running" || minikube start --force --extra-config=kubeadm.skip-phases=preflight --cpus=6 --memory=10g --disk-size=80g --driver=docker --kubernetes-version=stable
 				echo -e "${GRN}Minikube cluster status:${NC}"
 				minikube status
 

deployment/k8s/charts/registry-cache/values.yaml

@@ -56,5 +56,5 @@ resources:
     cpu: 2000m
     memory: 2048Mi
   requests:
-    cpu: 1000m
-    memory: 1024Mi
+    cpu: 250m
+    memory: 512Mi