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23 lines
1.4 KiB
Markdown
23 lines
1.4 KiB
Markdown
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You'll need to have an existing Kubernetes cluster and [storage class](https://kubernetes.io/docs/concepts/storage/storage-classes/).
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Setting this up will vary depending on your provider.
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To try it locally, you can use [MicroK8s](https://microk8s.io/) or [Minikube](https://kubernetes.io/docs/tasks/tools/install-minikube/).
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Once you have a working cluster, edit the environment variables and volume sizes in `docker/k8s/*.yml`.
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You may also want to change the service types to use `LoadBalancer`s depending on where you're running your cluster (add `type: LoadBalancer` to `ports)`, or `NodePort`s.
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By default they will use `ClusterIP`s, which will allow access only within the cluster. See the [docs](https://kubernetes.io/docs/concepts/services-networking/service/) for more on networking in Kubernetes.
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**Important** Running a database in Kubernetes will work, but is generally not recommended.
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If you're deploying on any of the common cloud providers, you should consider using their managed database service instead (RDS, Cloud SQL, Azure Databse, etc.).
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Now you can deploy:
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```bash
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# Add `-n foo` if you want to deploy into a specific namespace `foo`;
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# otherwise your resources will be created in the `default` namespace.
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kubectl apply -f docker/k8s/db.yml
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kubectl apply -f docker/k8s/pictshare.yml
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kubectl apply -f docker/k8s/lemmy.yml
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```
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If you used a `LoadBalancer`, you should see it in your cloud provider's console.
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