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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.

Distributed reliable key-value store for the most critical data of a distributed system

Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.

SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.

Conductor is an event driven agentic workflow engine providing durable and highly resilient execution engine for applications and AI Agents

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A realtime distributed messaging platform

Temporal service

A framework for building agents and services

The lightweight, fault-tolerant database built on SQLite. Designed to keep your data highly available with minimal effort.

JuiceFS is a distributed POSIX file system built on top of Redis and S3.

Apache ZooKeeper

The infrastructure platform for the intelligence era

A distributed, fast open-source graph database featuring horizontal scalability and high availability

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

⭐ 【出版书籍】京东购买链接 https://item.jd.com/14531549.html 深入讲解内核网络、Kubernetes、ServiceMesh、容器等云原生相关技术。经历实践检验的“大规模分布式系统”开发指南。

🪓 An orchestration engine for background tasks, AI agents, and durable workflows

The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL

:rocket: Progressive microservices framework for Node.js

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

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.

Gluster Filesystem : Build your distributed storage in minutes

🦀 event stream processing for developers to collect and transform data in motion to power responsive data intensive applications.

Fullstack Workspace for Humans & Machines

《深入理解 AI Infra：量化分析与系统设计》（李博杰 著）开源书稿：从硬件约束和模型架构出发，量化推导 LLM 推理与训练系统设计。含全书正文、PDF、配套计算工具与实验

Ongoing Storj v3 development. Decentralized cloud object storage that is affordable, easy to use, private, and secure.

A unified interface for distributed computing. Fugue executes SQL, Python, Pandas, and Polars code on Spark, Dask and Ray without any rewrites.

Python Stream Processing. A Faust fork

Durable workflow automation in just a few lines of code