This document is a step-by-step guide that describes how to install Visio on a k8s cluster without AI features.
## Prerequisites
- k8s cluster with an nginx-ingress controller
- an OIDC provider (if you don't have one, we will provide an example)
- a LiveKit server (if you don't have one, we will provide an example)
- a PostgreSQL server (if you don't have one, we will provide an example)
- a Memcached server (if you don't have one, we will provide an example)
### Test cluster
If you do not have a test cluster, you can install everything on a local kind cluster. In this case, the simplest way is to use our script **bin/start-kind.sh**.
To be able to use the script, you will need to install:
4. Connect the registry to the cluster network if not already connected
5. Document the local registry
configmap/local-registry-hosting created
Warning: resource configmaps/coredns is missing the kubectl.kubernetes.io/last-applied-configuration annotation which is required by kubectl apply. kubectl apply should only be used on resources created declaratively by either kubectl create --save-config or kubectl apply. The missing annotation will be patched automatically.
configmap/coredns configured
deployment.apps/coredns restarted
6. Install ingress-nginx
namespace/ingress-nginx created
serviceaccount/ingress-nginx created
serviceaccount/ingress-nginx-admission created
role.rbac.authorization.k8s.io/ingress-nginx created
role.rbac.authorization.k8s.io/ingress-nginx-admission created
clusterrole.rbac.authorization.k8s.io/ingress-nginx created
clusterrole.rbac.authorization.k8s.io/ingress-nginx-admission created
rolebinding.rbac.authorization.k8s.io/ingress-nginx created
rolebinding.rbac.authorization.k8s.io/ingress-nginx-admission created
clusterrolebinding.rbac.authorization.k8s.io/ingress-nginx created
clusterrolebinding.rbac.authorization.k8s.io/ingress-nginx-admission created
configmap/ingress-nginx-controller created
service/ingress-nginx-controller created
service/ingress-nginx-controller-admission created
deployment.apps/ingress-nginx-controller created
job.batch/ingress-nginx-admission-create created
job.batch/ingress-nginx-admission-patch created
ingressclass.networking.k8s.io/nginx created
validatingwebhookconfiguration.admissionregistration.k8s.io/ingress-nginx-admission created
When your k8s cluster is ready, you can start the deployment. This cluster is special because it uses the \*.127.0.0.1.nip.io domain and mkcert certificates to have full HTTPS support and easy domain name management.
Please remember that \*.127.0.0.1.nip.io will always resolve to 127.0.0.1, except in the k8s cluster where we configure CoreDNS to answer with the ingress-nginx service IP.
Visio uses OIDC, so if you already have an OIDC provider, obtain the necessary information to use it. In the next step, we will see how to configure Django (and thus Visio) to use it. If you do not have a provider, we will show you how to deploy a local Keycloak instance (this is not a production deployment, just a demo).
If you haven't run the script **bin/start-kind.sh**, you'll need to manually create the namespace by running the following command:
```
$ kubectl create namespace meet
```
If you have already run the script, you can skip this step and proceed to the next instruction.
You can find these values in **examples/keycloak.values.yaml**
### Find livekit server connexion values
Visio use livekit for streaming part so if you have a livekit provider, obtain the necessary information to use it. If you do not have a provider, you can install a livekit testing environment as follows:
Livekit need a redis (and meet too) so we will start by deploying a redis :
Visio uses a postgresql db as backend so if you have a provider, obtain the necessary information to use it. If you do not have, you can install a postgresql testing environment as follows:
From here important information you will need are :
```
DB_HOST: postgres-postgresql
DB_NAME: meet
DB_USER: dinum
DB_PASSWORD: pass
DB_PORT: 5432
POSTGRES_DB: meet
POSTGRES_USER: dinum
POSTGRES_PASSWORD: pass
```
## Deployment
Now you are ready to deploy Visio without AI. AI required more dependencies (Openai-compliant API, LiveKit Egress, Cold storage and a docs deployment to push resumes). To deploy meet you need to provide all previous information to the helm chart.
