Resource scheduling and cluster management for AI

A simple CLI that provides an overview of the resource requests, limits, and utilization in a Kubernetes cluster

A Golang Tool to discover unused Kubernetes Resources

All in one project management tool for efficient teams

A collection of resources for women in tech, consisting of - courses, learning guides, amazing sites and repos, blogs, programs and events. scholarships, etc.

A prometheus exporter created to provide a better overview of your resource allocation and utilization in a Kubernetes cluster.

Clean up (delete) Kubernetes resources after a configured TTL (time to live)

QCalendar - Quasar App Extension, Vue CLI plug-in and UMD distributions available

Golang Resource Bundler [deprecated]

Iteratees for Cats

A variant of include_bytes!/include_str! with compile-time deflation and runtime lazy inflation

Localizer package for Asp.Net Core web applications, powered by online translation and auto resource creating.

Scale down or delete unneeded workload after work hours based on conditions

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

🍊 TAOS-CI (a.k.a LightSys) is an lightweight and efficient CI system to achieve "Review less, merge faster" with a tool-based review system. It is completely compatible with all GitHub repositories although TAOS-CI is designed & implemented for NNStreamer repository. (Homepage: https://taos-ci.github.io/)

Virne is a simulator for resource allocation problems in network virtualization, mainly for virtual network embedding (VNE). It also is adaptable to VNE's variants, such as service function chain deployment (SFC Deployment), network slicing, etc.

Awesome-papers is a collection of awesome papers about cloud computing including resource management, serverless, microservice, observerbility and so on.

Managing Kubernetes Quota with confidence

gpool - a generic context-aware resizable goroutines pool to bound concurrency based on semaphore.

A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning for Mobile Edge Computing