mirror of
https://github.com/oceanprotocol/docs.git
synced 2024-11-26 19:49:26 +01:00
244 lines
8.1 KiB
Markdown
244 lines
8.1 KiB
Markdown
---
|
|
title: Minikube Compute-to-Data Environment
|
|
---
|
|
|
|
# Deploying C2D
|
|
|
|
This chapter will present how to deploy the C2D component of the Ocean stack. As mentioned in the [C2D Architecture chapter](../developers/compute-to-data/#architecture-and-overview-guides), the Compute-to-Data component uses Kubernetes to orchestrate the creation and deletion of the pods in which the C2D jobs are run.
|
|
|
|
For the ones that do not have a Kubernetes environment available, we added to this guide instructions on how to install Minikube, which is a lightweight Kubernetes implementation that creates a VM on your local machine and deploys a simple cluster containing only one node. In case you have a Kubernetes environment in place, please skip directly to step 4 of this guide.
|
|
|
|
|
|
|
|
### Requirements
|
|
|
|
* Communications: a functioning internet-accessible provider service
|
|
* Hardware: a server capable of running compute jobs (e.g. we used a machine with 8 CPUs, 16 GB Ram, 100GB SSD, and a fast internet connection). See [this guide](setup-server.md) for how to create a server;
|
|
* Operating system: Ubuntu 22.04 LTS
|
|
|
|
|
|
|
|
### Steps
|
|
|
|
1. [Install Docker and Git](compute-to-data-minikube.md#install-docker-and-git)
|
|
2. [Install Minikube](compute-to-data-minikube.md#install-minikube)
|
|
3. [Start Minikube](compute-to-data-minikube.md#start-minikube)
|
|
4. [Install the Kubernetes command line tool (kubectl)](compute-to-data-minikube.md#install-the-kubernetes-command-line-tool-kubectl)
|
|
5. [Run the IPFS host (optional)](compute-to-data-minikube.md#run-the-ipfs-host-optional)
|
|
6. [Update the storage class](compute-to-data-minikube.md#update-the-storage-class)
|
|
7. [Download and Configure Operator Service](compute-to-data-minikube.md#download-and-configure-operator-service)
|
|
8. [Download and Configure Operator Engine](compute-to-data-minikube.md#download-and-configure-operator-engine)
|
|
9. [Create namespaces](compute-to-data-minikube.md#create-namespaces)
|
|
10. [Deploy Operator Service](compute-to-data-minikube.md#deploy-operator-service)
|
|
11. [Deploy Operator Engine](compute-to-data-minikube.md#deploy-operator-engine)
|
|
12. [Expose Operator Service](compute-to-data-minikube.md#expose-operator-service)
|
|
13. [Initialize the database](compute-to-data-minikube.md#initialize-database)
|
|
14. [Update Provider](compute-to-data-minikube.md#update-provider)
|
|
|
|
#### Install Docker and Git
|
|
|
|
```bash
|
|
sudo apt update
|
|
sudo apt install git docker.io
|
|
sudo usermod -aG docker $USER && newgrp docker
|
|
```
|
|
|
|
#### Install Minikube
|
|
|
|
```bash
|
|
wget -q --show-progress https://github.com/kubernetes/minikube/releases/download/v1.22.0/minikube_1.22.0-0_amd64.deb
|
|
sudo dpkg -i minikube_1.22.0-0_amd64.deb
|
|
```
|
|
|
|
#### Start Minikube
|
|
|
|
The first command is important and solves a [PersistentVolumeClaims problem](https://github.com/kubernetes/minikube/issues/7828).
|
|
|
|
```bash
|
|
minikube config set kubernetes-version v1.16.0
|
|
minikube start --cni=calico --driver=docker --container-runtime=docker
|
|
```
|
|
|
|
Depending on the number of available CPUs, RAM, and the required resources for running the job, consider adding options `--cpu`, `--memory`, and `--disk-size` to avoid runtime issues.
|
|
|
|
For other options to run minikube refer to this [link](https://minikube.sigs.k8s.io/docs/commands/start/)
|
|
|
|
#### Install the Kubernetes command line tool (kubectl)
|
|
|
|
```bash
|
|
curl -LO "https://dl.k8s.io/release/$(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 until all the defaults are running (1/1).
|
|
|
|
```bash
|
|
watch kubectl get pods --all-namespaces
|
|
```
|
|
|
|
#### Run the IPFS host (optional)
|
|
|
|
To store the results and the logs of the C2D jobs, you can use either an AWS S3 bucket or IPFS.
|
|
|
|
In case you want to use IPFS you need to run an IPFS host, as presented below.
|
|
|
|
```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'
|
|
|
|
```
|
|
|
|
#### Update the storage class
|
|
|
|
The storage class is used by Kubernetes to create the temporary volumes on which the data used by the algorithm will be stored.
|
|
|
|
Please ensure that your class allocates volumes in the same region and zone where you are running your pods.
|
|
|
|
You need to consider the storage class available for your environment.
|
|
|
|
For Minikube, you can use the default 'standard' class.
|
|
|
|
In AWS, we created our own 'standard' class:
|
|
|
|
```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 a 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 a 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 the 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.
|
|
|