---
title: Minikube Compute-to-Data Environment
description: 
---

## Requirements

- functioning internet-accessable provider service
- machine capable of running compute (e.g. we used a machine with 8 CPUs, 16 GB Ram, 100GB SSD and fast internet connection)
- Ubuntu 20.04

## Install Docker and Git

```bash
sudo apt update
sudo apt install git docker.io
sudo usermod -aG docker $USER && newgrp docker
```

## Install Minikube

```bash
wget -q --show-progress https://github.com/kubernetes/minikube/releases/download/v1.22.0/minikube_1.22.0-0_amd64.deb
sudo dpkg -i minikube_1.22.0-0_amd64.deb
```

## Start Minikube

First command is imporant, and solves a [PersistentVolumeClaims problem](https://github.com/kubernetes/minikube/issues/7828). 

```bash
minikube config set kubernetes-version v1.16.0
minikube start --cni=calico --driver=docker --container-runtime=docker
```

Depending on the number of available CPUs, RAM, and the required resources for running the job, consider adding options `--cpu`, `--memory`, and `--disk-size` to avoid runtime issues.

For other options to run minikube refer to this [link](https://minikube.sigs.k8s.io/docs/commands/start/)

## Install kubectl

```bash
curl -LO "https://dl.k8s.io/release/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl"
curl -LO "https://dl.k8s.io/$(curl -L -s https://dl.k8s.io/release/stable.txt)/bin/linux/amd64/kubectl.sha256"
echo "$(<kubectl.sha256) kubectl" | sha256sum --check

sudo install -o root -g root -m 0755 kubectl /usr/local/bin/kubectl
```


Wait untill all the defaults are running (1/1).

```bash
watch kubectl get pods --all-namespaces
```

### Run IPFS host

```bash
export ipfs_staging=~/ipfs_staging
export ipfs_data=~/ipfs_data

docker run -d --name ipfs_host -v $ipfs_staging:/export -v $ipfs_data:/data/ipfs -p 4001:4001 -p 4001:4001/udp -p 127.0.0.1:8080:8080 -p 127.0.0.1:5001:5001 ipfs/go-ipfs:latest

sudo /bin/sh -c 'echo "127.0.0.1    youripfsserver" >> /etc/hosts'

```

## Storage class (Optional)

For minikube, you can use the default 'standard' class.

For AWS, please make sure that your class allocates volumes in the same region and zone in which you are running your pods.

We created our own 'standard' class in AWS:

```bash
kubectl get storageclass standard -o yaml
```

```yaml
allowedTopologies:
- matchLabelExpressions:
    - key: failure-domain.beta.kubernetes.io/zone
          values:
          - us-east-1a
apiVersion: storage.k8s.io/v1
kind: StorageClass
parameters:
    fsType: ext4
    type: gp2
provisioner: kubernetes.io/aws-ebs
reclaimPolicy: Delete
volumeBindingMode: Immediate
```

For more information, please visit https://kubernetes.io/docs/concepts/storage/storage-classes/

## Download and Configure Operator Service

Open new terminal and run the command below.

```bash
git clone https://github.com/oceanprotocol/operator-service.git
```

Edit `operator-service/kubernetes/postgres-configmap.yaml`. Change `POSTGRES_PASSWORD` to nice long random password.

Edit `operator-service/kubernetes/deployment.yaml`. Optionally change:

- `ALGO_POD_TIMEOUT`
- add `requests_cpu`
- add `requests_memory`
- add `limits_cpu`
- add `limits_memory`

```yaml
...
    spec:
      containers:
      - env:
        - name: requests_cpu
          value: "4"
        - name: requests_memory
          value: "8Gi"
        - name: limits_cpu
          value: "8"
        - name: limits_memory
          value: "15Gi"
        - name: ALGO_POD_TIMEOUT
          value: "3600"
...
```

## Download and Configure Operator Engine

```bash
git clone https://github.com/oceanprotocol/operator-engine.git
```

Check the [README](https://github.com/oceanprotocol/operator-engine#customize-your-operator-engine-deployment) section of operator engine to customize your deployment.

At a minimum you should add your IPFS URLs or AWS settings, and add (or remove) notification URLs.


## Create namespaces

```bash
kubectl create ns ocean-operator
kubectl create ns ocean-compute
```

## Deploy Operator Service

```bash
kubectl config set-context --current --namespace ocean-operator
kubectl create -f operator-service/kubernetes/postgres-configmap.yaml
kubectl create -f operator-service/kubernetes/postgres-storage.yaml
kubectl create -f operator-service/kubernetes/postgres-deployment.yaml
kubectl create -f operator-service/kubernetes/postgresql-service.yaml
kubectl apply  -f operator-service/kubernetes/deployment.yaml
```

## Deploy Operator Engine

```bash
kubectl config set-context --current --namespace ocean-compute
kubectl apply  -f operator-engine/kubernetes/sa.yml
kubectl apply  -f operator-engine/kubernetes/binding.yml
kubectl apply  -f operator-engine/kubernetes/operator.yml
kubectl create -f operator-service/kubernetes/postgres-configmap.yaml
```

**Optional**: For production enviroments, it's safer to block access to metadata. To do so run the below command:

```bash
kubectl -n ocean-compute apply -f /ocean/operator-engine/kubernetes/egress.yaml
```

## Expose Operator Service

```bash
kubectl expose deployment operator-api --namespace=ocean-operator --port=8050
```

Run a port forward or create your ingress service and setup DNS and certificates (not covered here):

```bash
kubectl -n ocean-operator port-forward svc/operator-api 8050
```

Alternatively you could use another method to communicate between the C2D Environment and the provider, such as an SSH tunnel.

## Initialize database

If your minikube is running on compute.example.com:

```bash
curl -X POST "https://compute.example.com/api/v1/operator/pgsqlinit" -H  "accept: application/json"
```

## Update Provider

Update your provider service by updating the `operator_service.url` value in `config.ini`

```ini
operator_service.url = https://compute.example.com/
```

Restart your provider service.

[Watch the explanatory video for more details](https://vimeo.com/580934725)