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

Database Stress Testing Tool

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

Web application workloads and their applications.

My Projects

Generate Random Workloads For Kubernetes Tool

Megatunger's Infrastructure as Code using Terraform

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.

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...

Benchmark orchestration for Linux nodes with repeatable workloads, metrics, and reporting.

Machine Learning-based CPU scheduling simulator comparing FCFS, Round Robin, Predicted SJF, and Hybrid ML schedulers. Comprehensive benchmark study across 500-5000 processes demonstrating Round Robin's superiority over ML approaches for mixed workloads.

Pub/Sub Workload Generator

Dynamic Docs Site for NoSQLBench, updated by Github actions every build, hosted at http://builddocs.nosqlbench.io/, and promoted to http://previewdocs.nosqlbench.io/ and http://docs.nosqlbench.io/

This repository showcases a number of techniques on preprocessing a large scale query workload and introduces a pipeline on predictive query analytics

Run scheduled database jobs using AWS Batch (Fargate) and EventBridge Scheduler with Terraform, Docker, and secure Secrets Manager access.

Workload Generator that simulates the workload of a video streaming server

New Relic leadership view, based on workloads

Workloads monitoring of OpenEBS reference deployments