GSoC 2020 Apache Proposal Apache RocketMQ Scaler for KEDA Application Name : Hien Nguyen University : Haaga-Helia University of Applied Sciences - Bachelor of Information Technology - (Location: Test, DevOps, Distributed system, Cloud(AWS, Azure) , Golang, Maven, Docker, Kubernetes GSoC - Apache RocketMQ Scaler for KEDA proposal Context KEDA allows for fine-grained autoscaling (including MySQL, RocketMQ,etc; multiple workloads type(jobs,deployments,trigger) - KEDA does not support Apache RocketMQ now. So we need to create PR in KEDA repo for new support for RocketMQ - KEDA has event-driven

Apache APISIX Roadmap 王院生 co-founder & CTO of API7.ai Member of Apache APISIX PMC 01 About me 02 What we did in APISIX V2 03 What we will do in APISIX V3 04 Enjoy APISIX way CONTENT W r i t e e h e r e S o m e t h i n g a b o u t About me 01 • Yuansheng Wang • Apache APISIX PMC member • 《OpenResty Best Practices》 • API7.ai co-founder & CTO What we did in APISIX V2 02 • 丰富插件 • 70+

EIT Summer School 2019 Apache Flink Based on https://training.ververica.com Maximilian Michels apache.org> Software Engineer / Consultant
 Committer @ Apache Beam / Apache Flink @stadtlegende @stadtlegende Dr Paris Carbone Senior Researcher @ RISE Committer @ Apache Flink @SenorCarbone Contents • DataSet API • DataStream API • Concepts • Set up an environment to develop Implement streaming data processing pipelines • Flink managed state • Event time Streaming in Apache Flink • Streams are natural • Events of any type like sensors, click streams, logs • Batch processing

链滴 Apache RocketMQ 介绍 作者：boccaro 原文链接：https://ld246.com/article/1588041859812 来源网站：链滴 许可协议：署名-相同方式共享 4.0 国际 (CC BY-SA 4.0) Apache RocketMQ 介绍 概要 Apache RocketMQ是一个分布式消息传递和流媒体平台，具有低延迟，高性能和可靠性，万亿级容 志类型的可靠消息传送，非常适合运用在金融和电 商务领域。目前他是Apache社区的顶级项目，在全球有超过100家公司在其业务中使用RocketMQ 开源版本。 诞生 RocketMQ起源于阿里巴巴。阿里巴巴最初由于业务需求，需要使用消息中间件。早期使用过Notify ActiveMQ等。但在需求不断膨胀的情况下，ActiveMQ IO模块遇到了瓶颈，几经努力但改善成果不 。这时正值Kafka流 2万亿个并发在线消息传输， 后阿里巴巴将RocketMQ捐献给Apache Incubator。 2017年9月25日 – Apache软件基金会，连同350多个开源项目的全体志愿者、开发人员、管理人员 和孵化项目组织，宣布Apache®RocketMQ™从Apache孵化器毕业成为顶级项目，这表明该项目的 区和产品已根据ASF的精英流程和原则得到了很好的管理。 现今，Apache RocketMQ在社区各方面的努力下，茁壮发展，很多功能都得到了加强。

Welcome Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lakehouses. Kyuubi builds distributed SQL query engines on top of various kinds of modern modern computing frameworks, e.g., Apache Spark [https://spark.apache.org/], Flink [https://flink.apache.org/], Doris [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino to build a modern data stack. For example, you can use Kyuubi, Spark and Iceberg [https://iceberg.apache.org/] to build and manage Data Lakehouse with pure SQL for both data processing, e.g. ETL, and online

Welcome Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lakehouses. Kyuubi builds distributed SQL query engines on top of various kinds of modern modern computing frameworks, e.g., Apache Spark [https://spark.apache.org/], Flink [https://flink.apache.org/], Doris [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino to build a modern data stack. For example, you can use Kyuubi, Spark and Iceberg [https://iceberg.apache.org/] to build and manage Data Lakehouse with pure SQL for both data processing, e.g. ETL, and online

Kyuubi Release 1.7.3 Apache Kyuubi Community Sep 23, 2023 ADMIN GUIDE 1 A Unified Gateway 3 1.1 Application Programming Interface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204 i ii Kyuubi, Release 1.7.3 Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed over fleets of machines

unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS, with permissions

unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown in the above figure, with each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg to build and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics cluster managers, e.g. Apache Hadoop YARN, Kubernetes (K8s) to create the Spark application; 2) a user account can only access data and metadata from a storage system, e.g. Apache Hadoop HDFS, with permissions