Repository Index

Define and run multi-container applications with Docker

• docker
• docker-compose
• orchestration
• go

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

• devops
• cncf
• cloud-native
• servicemesh

The Cloud Native Control Plane

• kubernetes
• cloud-computing
• cloud-native
• containers

vCluster creates tenant clusters: fully isolated environments delivered as managed Kubernetes, or as the foundation for Slurm, Ray, Run:ai and inference clusters. Each gets its own API server, CRDs and RBAC, and runs on an existing cluster or standalone on bare metal. CNCF Certified Kubernetes.

• kubernetes
• vcluster
• virtual-clusters
• multi-tenancy

The Modern Application Platform.

• oam
• kubernetes
• application
• microservices

Dedicated Game Server Hosting and Scaling for Multiplayer Games on Kubernetes

• dedicated-gameservers
• kubernetes
• game-development
• multiplayer

A feature complete and high performance multi-group Raft library in Go.

• raft
• paxos
• golang
• go

Nitric is a multi-language framework for cloud applications with infrastructure from code.

• cloud
• aws
• gcp
• azure

Declarative Intent Driven Platform Orchestrator for Internal Developer Platform (IDP).

• cloud-native
• devops
• kubernetes
• platform-engineering

Translated📝 Go configuration manage(load,get,set,export). support JSON, YAML, TOML, Properties, INI, HCL, ENV and Flags. Multi file load, data override merge, parse ENV var. Go application configuration loading and management, supporting multiple formats, multi-file loading, remote file loading, data merging, and parsing of environment variable names

• config
• config-management
• json
• yaml

The open-source policy-as-code software that provides analysis for Multi-Cloud and SaaS environments, you can get insight with natural language (powered by OpenAI).

• gcp
• azure
• cspm
• infrastructure-as-code

Visualize your multi-stage Dockerfiles

• docker
• dockerfile
• visualization
• cli

Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.

• ai
• gguf
• gpu
• inference

Kustomize KRM function to run builtin transformers

• gitops
• kubernetes
• kustomize
• kustomize-plugin