---
title: Managing a Cluster
weight: 3
---
# Managing a Qdrant Cluster
The most minimal QdrantCluster configuration is:
```yaml
apiVersion: qdrant.io/v1
kind: QdrantCluster
metadata:
name: qdrant-a7d8d973-0cc5-42de-8d7b-c29d14d24840
labels:
cluster-id: "a7d8d973-0cc5-42de-8d7b-c29d14d24840"
customer-id: "acme-industries"
spec:
id: "a7d8d973-0cc5-42de-8d7b-c29d14d24840"
version: "v1.11.3"
size: 1
resources:
cpu: 100m
memory: "1Gi"
storage: "2Gi"
```
The `id` should be unique across all Qdrant clusters in the same namespace, the `name` must follow the above pattern and the `cluster-id` and `customer-id` labels are mandatory.
There are lots more configuration options to configure scheduling, security, networking, and more. For full details see the [Qdrant Private Cloud API Reference](/documentation/private-cloud/api-reference/).
## Scaling a Cluster
To scale a cluster, update the CPU, memory and storage resources in the QdrantCluster spec. The Qdrant operator will automatically adjust the cluster configuration. This operation is highly available on a multi-node cluster with replicated collections.
## Upgrading the Qdrant version
To upgrade the Qdrant version of a database cluster, update the `version` field in the QdrantCluster spec. The Qdrant operator will automatically upgrade the cluster to the new version. The upgrade process is highly available on a multi-node cluster with replicated collections.
Note, that you should not skip minor versions when upgrading. For example, if you are running version `v1.11.3`, you can upgrade to `v1.11.4` or `v1.12.2`, but not directly to `v1.13.0`.
## Exposing a Cluster
By default, a QdrantCluster will be exposed through an internal `ClusterIP` service. To expose the cluster to the outside world, you can create a `NodePort` service, a `LoadBalancer` service or an `Ingress` resource.
This is an example on how to create a QdrantCluster with a `LoadBalancer` service:
```yaml
apiVersion: qdrant.io/v1
kind: QdrantCluster
metadata:
name: qdrant-a7d8d973-0cc5-42de-8d7b-c29d14d24840
labels:
cluster-id: "a7d8d973-0cc5-42de-8d7b-c29d14d24840"
customer-id: "acme-industries"
spec:
id: "a7d8d973-0cc5-42de-8d7b-c29d14d24840"
version: "v1.11.3"
size: 1
resources:
cpu: 100m
memory: "1Gi"
storage: "2Gi"
service:
type: LoadBalancer
annotations:
service.beta.kubernetes.io/aws-load-balancer-type: nlb
```
Especially if you create a LoadBalancer Service, you may need to provide annotations for the loadbalancer configration. Please refer to the documention of your cloud provider for more details.
Examples:
* [AWS EKS LoadBalancer annotations](https://kubernetes-sigs.github.io/aws-load-balancer-controller/latest/guide/ingress/annotations/)
* [Azure AKS Public LoadBalancer annotations](https://learn.microsoft.com/en-us/azure/aks/load-balancer-standard)
* [Azure AKS Internal LoadBalancer annotations](https://learn.microsoft.com/en-us/azure/aks/internal-lb)
* [GCP GKE LoadBalancer annotations](https://cloud.google.com/kubernetes-engine/docs/concepts/service-load-balancer-parameters)
*
## Authentication and Authorization
Authentication information is provided by Kubernetes secrets.
One way to create a secret is with kubectl:
```shell
kubectl create secret generic qdrant-api-key --from-literal=api-key=your-secret-api-key --from-literal=read-only-api-key=your-secret-read-only-api-key --namespace qdrant-private-cloud
```
The resulting secret will look like this:
```yaml
apiVersion: v1
data:
api-key: ...
read-only-api-key: ...
kind: Secret
metadata:
name: qdrant-api-key
namespace: qdrant-private-cloud
type: kubernetes.io/generic
```
You can reference the secret in the QdrantCluster spec:
```yaml
apiVersion: qdrant.io/v1
kind: QdrantCluster
metadata:
name: qdrant-a7d8d973-0cc5-42de-8d7b-c29d14d24840
labels:
cluster-id: "a7d8d973-0cc5-42de-8d7b-c29d14d24840"
customer-id: "acme-industries"
spec:
id: "a7d8d973-0cc5-42de-8d7b-c29d14d24840"
version: "v1.11.3"
size: 1
resources:
cpu: 100m
memory: "1Gi"
storage: "2Gi"
config:
service:
api_key:
secretKeyRef:
name: qdrant-api-key
key: api-key
read_only_api_key:
secretKeyRef:
name: qdrant-api-key
key: read-only-api-key
jwt_rbac: true
```
If you set the `jwt_rbac` flag, you will also be able to create granular [JWT tokens for role based access control](/documentation/guides/security/#granular-access-control-with-jwt).
### Configuring TLS
If you want to configure TLS for accessing your Qdrant database, there are two options:
* You can offload TLS at the ingress or loadbalancer level.
* You can configure TLS directly in the Qdrant database.
If you want to configure TLS directly in the Qdrant database, you can provide this as a secret.
To create such a secret, you can use `kubectl`:
```shell
kubectl create secret tls qdrant-tls --cert=mydomain.com.crt --key=mydomain.com.key --namespace the-qdrant-namespace
```
The resulting secret will look like this:
```yaml
apiVersion: v1
data:
tls.crt: ...
tls.key: ...
kind: Secret
metadata:
name: qdrant-tls
namespace: the-qdrant-namespace
type: kubernetes.io/tls
```
You can reference the secret in the QdrantCluster spec:
```yaml
apiVersion: qdrant.io/v1
kind: QdrantCluster
metadata:
name: test-cluster
spec:
id: "a7d8d973-0cc5-42de-8d7b-c29d14d24840"
version: "v1.11.3"
size: 1
resources:
cpu: 100m
memory: "1Gi"
storage: "2Gi"
config:
service:
enable_tls: true
tls:
cert:
secretKeyRef:
name: qdrant-tls
key: tls.crt
key:
secretKeyRef:
name: qdrant-tls
key: tls.key
```