2.0 KiB
2.0 KiB
Oktopus Kubernetes
Requirements
Kubernetes 1.28+
Standalone Installation
Single Node:
- 8 vCPUs
- 8 GB RAM
Installation
Download Files
git clone https://github.com/OktopUSP/oktopus
export DEPLOYMENT_PATH=oktopus/deploy/kubernetes
MongoBD
# Mongo DB Operator at mongodb namespace
helm repo add mongodb https://mongodb.github.io/helm-charts
helm install community-operator mongodb/community-operator --namespace mongodb --create-namespace
# Mongo DB ReplicaSet
export DEPLOYMENT_PATH=oktopus/deploy/kubernetes
kubectl apply -f $DEPLOYMENT_PATH/mongodb.yaml -n mongodb
# Check Installation
kubectl get pods -n mongodb
NATS Server
# Download the NATS charts
helm repo add nats https://nats-io.github.io/k8s/helm/charts/
# Install NATS with Jetstream Enabled
helm install nats nats/nats --set config.jetstream.enabled=true
Oktopus
Node Ports
For this deployment, we are not using a load balancer and kubernetes is deployed on-premises so we are using Nodeports to insource the client traffic into cluster. below the ports set on deployment files:
- MQTT broker service (mqtt-svc): 30000
- Frontend (frontend-svc): 30001
- SocketIO: (socketio-svc): 30002
- Controller (controller-svc): 30003
- WebSocket (ws-svc): 30005
Before deploying the files, edit the frontend.yaml file to set the correct enviroment variables:
env:
- name: NEXT_PUBLIC_REST_ENDPOINT
value: "<FRONTEND_IP>:30003"
- name: NEXT_PUBLIC_WS_ENDPOINT
value: "<FRONTEND_IP>:30005"
kubectl apply -f $DEPLOYMENT_PATH/mqtt.yaml
kubectl apply -f $DEPLOYMENT_PATH/mqtt-adapter.yaml
kubectl apply -f $DEPLOYMENT_PATH/adapter.yaml
kubectl apply -f $DEPLOYMENT_PATH/controller.yaml
kubectl apply -f $DEPLOYMENT_PATH/socketio.yaml
kubectl apply -f $DEPLOYMENT_PATH/frontend.yaml
kubectl apply -f $DEPLOYMENT_PATH/ws.yaml
kubectl apply -f $DEPLOYMENT_PATH/ws-adapter.yaml
Checking cluster status:
kubectl get pods
kubectl get svc