---

{ “title”: “Deployment”, “sidebar_label”: “Deployment”, “language”: “en-US”, “description”: “How to deploy DOG Stack in production? This article introduces deployment options and selection guidance for the three core components: OpenTelemetry Collector, Apache Doris, and Grafana with the Doris App plugin.”, “keywords”: [ “DOG Stack deployment”, “OpenTelemetry Collector”, “Apache Doris deployment”, “Grafana deployment”, “Doris App plugin”, “Docker Compose”, “Kubernetes”, “observability” ] }

As shown in the architecture diagram, DOG Stack consists of four components: the data collection tools, the OpenTelemetry Collector, Doris, and Grafana with the Doris App plugin. This deployment document focuses on the latter three components; the data collection tools are covered in the data collection document.

DOG Stack offers multiple deployment options for different environments and purposes.

Docker Compose

Best suited for local testing, development, and PoC.

Prerequisites

• Docker Engine (v20.10+)
• Docker Compose (v2.0+)

Deployment

1. Clone the repository:

   git clone https://github.com/ai-observe/ai-observe-stack.git cd ai-observe-stack/docker

2. Start all services:

   docker compose up -d

3. Verify that services are running:

   docker compose ps

   All services should show the running status.

4. Access Grafana at http://localhost:3000 and log in with the default credentials admin / admin.

Service endpoints

Service	Endpoint	Credentials
Grafana	http://localhost:3000	admin / admin
OTel gRPC	localhost:4317	-
OTel HTTP	localhost:4318	-

Stop and clean up

Stop services while keeping data:

docker compose down

Stop services and remove all data:

docker compose down -v

Kubernetes

Best suited for production deployment, development environments, and scalable setups.

Prerequisites

• Kubernetes cluster (v1.20+)
• Helm (v3.0+)
• kubectl configured to access your cluster
• PersistentVolume provisioner (for data persistence)

Deployment

1. Add the DOG Stack and Doris Helm repositories:

   helm repo add dogstack https://charts.velodb.io helm repo update

2. Create a namespace for DOG Stack:

   kubectl create namespace dogstack

3. Install DOG Stack:

   If you already have a Doris cluster, you can specify how to connect to it.

   helm install my-dogstack dogstack/dogstack -n dogstack \ --set doris.mode=external \ --set doris.external.host=<DORIS_FE_HOST> \ --set doris.external.port=9030 \ --set doris.external.feHttpPort=8030 \ --set doris.internal.operator.enabled=false

   If you want to deploy a new Doris cluster, just install directly with no extra options.

   helm install my-dogstack dogstack/dogstack -n dogstack

4. Verify that all pods are running:

   kubectl get pods -n dogstack

   Wait until all pods show the Running status.

5. Access Grafana:

   kubectl port-forward svc/my-dogstack-grafana 3000:3000 -n dogstack

   Open http://localhost:3000 and log in with admin / admin.

Service endpoints

Service	Port-forward command
Grafana	kubectl port-forward svc/my-dogstack-grafana 3000:3000 -n dogstack
Doris FE UI	kubectl port-forward svc/my-dogstack-doris-fe 8030:8030 -n dogstack
Doris MySQL	kubectl port-forward svc/my-dogstack-doris-fe 9030:9030 -n dogstack

Uninstall

helm uninstall my-dogstack -n dogstack
kubectl delete namespace dogstack

Manual deployment

1. Deploy a Doris cluster by following the Doris deployment documentation. Skip this step if you already have a Doris cluster.

2. Deploy the OpenTelemetry Collector by following the OpenTelemetry deployment documentation.

3. Deploy Grafana by following the Grafana deployment documentation.

4. Open the DOG Stack web UI in your browser.

Visit http://localhost:3000 to access the Grafana UI inside DOG Stack.