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.

Worker side application

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