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Stream Computing

Practice of Flink 2.0 State Storage-computing Separation

This article provides an overview of the research on the transformation practice of Flink 2.0 state storage-computing separation.

Analysis and Application of New Features of Flink ML

This article covers an overview of Flink ML and discusses the design and application of online learning, online inference, and feature engineering algorithms.

Integration of Paimon and Spark - Part 2: Query Optimization

This article introduces the integration of Paimon and Spark, specifically focusing on query optimization.

New Tool of Java 22: Use Java Stream Gather to Handle States in a Stream

This article examines the concept of a stream and introduces in detail the Java 22 Stream Gather API.

Integration of Paimon and Spark - Part I

This article introduces the main features in the new version of Paimon that are supported by the Spark-based computing engine.

Building a Streaming Lakehouse: Performance Comparison Between Paimon and Hudi

This article compares the performance of Paimon and Hudi on Alibaba Cloud EMR and explores their respective roles in building quasi-real-time data warehouses.

How to Use Confluent with FlinkSQL

This article describes step-by-step instructions on how to use Confluent with FlinkSQL.

Announcement of the Release of Apache Flink 1.18

The Apache Flink PMC is pleased to announce the release of Apache Flink 1.18.0. As usual, we are looking at a packed release with a wide variety of improvements and new features.

Confluent and Alibaba Cloud Extend Partnership to Bring the Power of Data Streaming to More Regions in Asia

New partnership brings the industry leading data streaming platform to more countries with Alibaba Cloud.

Learning about Distributed Systems - Part 27: From Batch Processing to Stream Computing

Part 27 of this series discusses distributed systems in terms of throughput and latency.

How to Write Simple and Efficient Flink SQL

This article is compiled from Xiaolin He’s presentation at the 2022 Flink Forward Asia (FFA) Conference, discussing Flink SQL insight, best practices, and future works.

The Thinking and Design of a Quasi-Real-Time Data Warehouse with Stream and Batch Integration

This article explores the practice of stream-batch integrated Flink SQL based on data lakes and explores the expression consistency, result consistenc...

Announcement of the Release of Apache Flink 1.17

Apache Flink, a leading stream processing standard, has released version 1.17.0, which includes new features and improvements.

Apache Flink Table Store 0.3.0 Release Announcement

The Apache Flink community has released version 0.3.0 of the Flink Table Store, which includes many new features and improvements.

Flink Shuffle 3.0: Vision, Roadmap, and Progress

This article was compiled from a speech by Song Xintong (Wuzang) (an Alibaba Cloud Senior Technical Expert) during FFA 2022, discussing Flink Shuffle 3.

An Overview of Kafka Distributed Message System

This blog provides an in-depth overview of the Kafka messaging system along with a walkthrough of its various models and techniques.

Large-Scale Best Practices for RocketMQ Streams in Cloud Security and IoT Scenarios

This article introduces RocketMQ Streams and explains the architecture and implementation principles.

RocketMQ 5.0: Exploration and Practice of Stateless Proxy Mode

This article discusses RocketMQ operation status, pain points, and stateless proxy mode.

The Evolution of RocketMQ 5.0 API and SDK

This article discusses the evolution of RocketMQ 5.0, including the new unified API, implementation, observability, and metrics.

Storage Enhancements for Apache RocketMQ 5.0 in Stream Scenarios

This article discusses some background information and the three storage enhancements of Apache RocketMQ 5.0.