https://github.com/fdrennan/rk8s
R and Kubernetes
https://github.com/fdrennan/rk8s
Last synced: 4 months ago
JSON representation
R and Kubernetes
- Host: GitHub
- URL: https://github.com/fdrennan/rk8s
- Owner: fdrennan
- License: other
- Created: 2021-03-13T20:50:48.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-03-19T04:59:25.000Z (about 4 years ago)
- Last Synced: 2024-08-13T07:16:04.592Z (8 months ago)
- Language: Shell
- Size: 71.3 KB
- Stars: 1
- Watchers: 2
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
Awesome Lists containing this project
- jimsghstars - fdrennan/rk8s - R and Kubernetes (Shell)
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# rk8s
## Motivation
Want to run R at scale? How about at the tap of a button? That's what this is - (for me at least)
# R Box
First, we start from the same place. I have pre-configured an AMI that we can use. I have installed
the following on it. More to come.
* RStudio Server
* Shiny-Server
* nginx
* aws cli
* kubectl
* eksctl
## Run R Box With Command
```
aws ec2 run-instances \
--image-id ami-047c79b3dcb294d8d \
--count 1 \
--instance-type t2.large \
--key-name ndexrbox # <<- whatever your keyfile name is, this is mine
```
## Set up AWS on R Box
```
aws configure
```
# Start a Kubernetes Cluster
```
eksctl create cluster \
--version 1.19 \
--region us-west-2 \
--node-type m5.xlarge \
--nodes 3 \
--nodes-min 1 \
--nodes-max 3 \
--name test-cluster
```
# Scale Your Cluster
```
eksctl scale nodegroup \
--cluster=test-cluster \
--nodes=20 \
--nodes-max=40 \
--nodes-min=1 \
ng-27159ba8 # whatever your nodegroup is
```
Start Services
```
kubectl apply -f ndexr-deploy.yaml
kubectl apply -f ndexr-svc.yaml
```
Descriptives
```
kubectl get all --all-namespaces
kubectl get pods
kubectl get svc
kubectl get nodes
kubectl get svc --all-namespaces
```
Port Forwarding
```
kubectl port-forward ndexr 80:80
```
Stopping the Cluster
```
kubectl delete -f ndexr-deploy.yaml
kubectl delete -f ndexr-svc.yaml
```
Delete the Cluster
```
eksctl delete cluster --name=test-cluster
```
Load Test
```
siege -c 10 -t5s -b "http://yourip/wait"
```
# References
[DockerHub fdrennan/rk8s](https://hub.docker.com/repository/docker/fdrennan/rk8s)
[Hosting a Plumber API with Kubernetes](https://mdneuzerling.com/post/hosting-a-plumber-api-with-kubernetes/)
[Ingress Minikube](https://kubernetes.io/docs/tasks/access-application-cluster/ingress-minikube/)
[Getting Started: eksctl](https://docs.aws.amazon.com/eks/latest/userguide/getting-started-eksctl.html)
[eksctl.io](https://eksctl.io/)
[Creating and Managing Clusters](https://eksctl.io/usage/creating-and-managing-clusters/)
[Building EKS With eksctl](https://joachim8675309.medium.com/building-eks-with-eksctl-799eeb3b0efd)