luchensk

kiali

Kiali project, observability for the Istio service mesh

k8s-and-lstio

k8s和lstio 理论和安装

kubedl

Run your deep learning workloads on Kubernetes more easily and efficiently.

website

Kubernetes website and documentation repo:

ingress-nginx

Ingress-NGINX Controller for Kubernetes

community

Kubernetes community content

dashboard

General-purpose web UI for Kubernetes clusters

argo-workflows

Workflow Engine for Kubernetes

minikube

Run Kubernetes locally

ddia

《Designing Data-Intensive Application》DDIA中文翻译

redoc

📘 OpenAPI/Swagger-generated API Reference Documentation

ultrajson

Ultra fast JSON decoder and encoder written in C with Python bindings

uvicorn-gunicorn-fastapi-docker

Docker image with Uvicorn managed by Gunicorn for high-performance FastAPI web applications in Python with performance auto-tuning.

starlette

The little ASGI framework that shines. 🌟

OpenAPI-Specification

The OpenAPI Specification Repository

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

flask

The Python micro framework for building web applications.

uwsgi-nginx-flask-docker

Docker image with uWSGI and Nginx for Flask applications in Python running in a single container.

walrus

Lightweight Python utilities for working with Redis

docker-redis-cluster

Dockerfile for Redis Cluster (redis 3.0+)

predis

A flexible and feature-complete Redis client for PHP.

redis-py-cluster

Python cluster client for the official redis cluster. Redis 3.0+.

libmooon

a static library

redis-tools

a toolkit for redis

redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

RedisDesktopManager

docker-library-redis

Docker Official Image packaging for Redis

redis-py

Redis Python client

dask

Parallel computing with task scheduling

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.