Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
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Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Apache Kafka - A distributed event streaming platform
一个涵盖六个专栏:Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、Dubbo、分布式消息队列、分布式事务的仓库。希望胖友小手一抖,右上角来个 Star,感恩 1024
Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
大数据入门指南 :star:
flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》
【大厂面试专栏】一份Java程序员需要的技术指南,这里有面试题、系统架构、职场锦囊、主流中间件等,让你成为更牛的自己!
C++ Parallel Computing and Asynchronous Networking Framework
Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Sarama is a Go library for Apache Kafka.
Open-Source Web UI for Apache Kafka Management
CMAK is a tool for managing Apache Kafka clusters
Diskless Kafka® on S3. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. Multi-AZ Availability.
专注大数据学习面试,大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...
Building event-driven applications the easy way in Go.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Fancy stream processing made operationally mundane
Distributed transaction solution in micro-service base on eventually consistency, also an eventbus with Outbox pattern
Python Stream Processing
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
📌 异步线程池框架,支持线程池动态变更&监控&报警,无需修改代码轻松引入。Asynchronous thread pool framework, support Thread Pool Dynamic Change & monitoring & Alarm, no need to modify the code easily introduced.