Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
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😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | 互联网 Java 工程师进阶知识完全扫盲：涵盖高并发、分布式、高可用、微服务、海量数据处理等领域知识
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
【Java面试+Java学习指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。
JuiceFS is a distributed POSIX file system built on top of Redis and S3.
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
Stack Exchange's Monitoring System
KubeBlocks is a Kubernetes Operator designed to manage a variety of databases and streaming systems, including MySQL, PostgreSQL, MongoDB, Redis, RabbitMQ, RocketMQ, and more, within Kubernetes environments.
Pluggable foundation blocks for building distributed apps.
Python Stream Processing. A Faust fork
Message queue system written in Go and backed by Redis
A job processing system that just verks! 🧛
RedisSMQ: A high-performance Redis message queue for Node.js
An efficient multi-layered caching system for .NET
In-memory key-value server in Rust that speaks RESP, so redis-cli and Redis clients connect. Locks, rate limits, job queues and a change feed are single commands; Raft-based failover. Clients for Rust, .NET, Go, Java, Python and Node.js.
A blazing fast job processing system backed by GenStage & Redis.