Install Neo4j
Installation
Install By
Preliminary
1. Kubernetes has installed, if not check 🔗link2. Helm has installed, if not check 🔗link1.get helm repo
helm repo add ay-helm-mirror https://aaronyang0628.github.io/helm-chart-mirror/charts
helm repo update2.install chart
helm install ay-helm-mirror/kube-prometheus-stack --generate-name Using Proxy
for more information, you can check 🔗https://artifacthub.io/packages/helm/prometheus-community/prometheus
Preliminary
1. Kubernetes has installed, if not check 🔗link2. Helm has installed, if not check 🔗link3. ArgoCD has installed, if not check 🔗link1.prepare `deploy-xxxxx.yaml`
2.apply to k8s
kubectl -n argocd apply -f xxxx.yaml3.sync by argocd
argocd app sync argocd/xxxx4.prepare yaml-content.yaml
5.apply to k8s
kubectl apply -f xxxx.yaml6.apply xxxx.yaml directly
kubectl apply -f - <<EOF
EOFPreliminary
1. Docker|Podman|Buildah has installed, if not check 🔗link Using Proxy
you can run an addinational daocloud image to accelerate your pulling, check Daocloud Proxy
1.init server
mkdir -p neo4j/data
podman run --rm \
--name neo4j \
-p 7474:7474 \
-p 7687:7687 \
-e neo4j_ROOT_PASSWORD=mysql \
-v $(pwd)/neo4j/data:/data \
-d docker.io/library/neo4j:5.18.0-community-bullseyePreliminary
1. Kubernetes has installed, if not check 🔗link2. Helm has installed, if not check 🔗link3. ArgoCD has installed, if not check 🔗link4. Argo Workflow has installed, if not check 🔗link1.prepare `argocd-login-credentials`
kubectl get namespaces database > /dev/null 2>&1 || kubectl create namespace database2.apply rolebinding to k8s
kubectl apply -f - <<EOF
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
name: application-administrator
rules:
- apiGroups:
- argoproj.io
resources:
- applications
verbs:
- '*'
- apiGroups:
- apps
resources:
- deployments
verbs:
- '*'
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: application-administration
namespace: argocd
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: application-administrator
subjects:
- kind: ServiceAccount
name: argo-workflow
namespace: business-workflows
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: application-administration
namespace: application
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: application-administrator
subjects:
- kind: ServiceAccount
name: argo-workflow
namespace: business-workflows
EOF4.prepare `deploy-xxxx-flow.yaml`
6.subimit to argo workflow client
argo -n business-workflows submit deploy-xxxx-flow.yaml7.decode password
kubectl -n application get secret xxxx-credentials -o jsonpath='{.data.xxx-password}' | base64 -d