This guide should help fellow researchers and hobbyists to easily automate and accelerate there deep leaning training with their own Kubernetes GPU cluster.
Create and manage instance groups with Kubernetes
Node JS Application Deployment on EKS Cluster with Persistent Volume High Availability using EFS using Infrastructure As Code (Terraform) and Ansible
GlassFish Cluster with Automatic Scaling
Remote Distributed Load Testing in JMeter Tips and Tricks
A Python-based utility for distributed meshing.
An example PHP Docker app for https://levi.lol/
Resources for RNA-SEQ pipeline analysis
The goal is to design and implement a cluster manager capable of executing parallel computing jobs in a number of worker nodes. We used the standard middleware services xmlrpc and Redis.
How to Install Three node K8s cluster for on premise or local Virtual Machine for Ubuntu
fist step in learning Kubernetes
Worker Node provisioning with Ansible
Add a description, image, and links to the worker-nodes topic page so that developers can more easily learn about it.
To associate your repository with the worker-nodes topic, visit your repo's landing page and select "manage topics."