The Modern Application Platform.

Automated management of large-scale applications on Kubernetes (incubating project under CNCF)

Escalator is a batch or job optimized horizontal autoscaler for Kubernetes

vSphere Integrated Containers Engine is a container runtime for vSphere.

The Workload Analyzer collects Presto® and Trino workload statistics, and analyzes them

An easy to set up OpenShift development kit powered by Red Hat Ansible.

AKS desktop delivers an application focused experience for deploying and managing workloads on Azure Kubernetes Service.

Xiangshan deterministic workloads generator

DSBench - A Database Testing Power Tool

FuseML APIs and core service. This repo include the FuseML client useful to interact with the background services.

Database Stress Testing Tool

My Projects

Web application workloads and their applications.

Generate Random Workloads For Kubernetes Tool

Article source: Mytton, D. Assessing the suitability of the Greenhouse Gas Protocol for calculation of emissions from public cloud computing workloads. Journal of Cloud Computing 9, 45 (2020) DOI: 10.1186/s13677-020-00185-8.

Megatunger's Infrastructure as Code using Terraform

A lightweight SLURM-style high performance computing (HPC) job scheduler, built to explore scheduling algorithms and resource management for real AI/ML workloads. Python Package available for easy use. Check the link below!

ARM's workloads in the universal Collective Knowledge Format with JSON API and JSON meta information to power Workload Automation Framework

An application for iOS and Arduino that implement the "oddball" paradigm.

This comprehensive study guide is your one-stop resource for passing the Microsoft Azure AI Fundamentals (AI-900) certification exam. It covers all exam domains including AI workloads, machine learning principles, computer vision, natural language processing, and generative AI and etc...