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Stream Processing

RocketMQ Schema – Make Messages Streaming Structured Data

This article explains the importance of Schema, its architecture, and more.

RocketMQ Connect Builds a Streaming Data Processing Platform

This article introduces RocketMQ Connect and its features, components, and benefits.

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.

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.

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.

Analysis of RocketMQ-Streams Architecture Design

This article will analyze the RocketMQ-Streams construction and data forwarding procedure from the perspective of source code.

Improving speed and stability of checkpointing with generic log-based incremental checkpoints

In this article, we discuss several ways to improve the speed and stability of checkpointing with generic log-based incremental checkpoints.

Evolution of the Real-time Data Warehouses of the Alibaba Search and Recommendation Data Platform

This article shares the results of explorations into real-time data warehouses focusing on the evolution and best practices for data warehouses based on Apache Flink and Hologres.

Flink Course Series (2): Stream Processing with Apache Flink

This article describes stream processing with Apache Flink from three different aspects.

Building a Cloud-Native Feed Streaming System with Apache Kafka and Spark on Alibaba Cloud – Part A: Service Setup

In this 3-part blog series, we'll show you how to build a simple, intelligent, cloud-native feed streaming system with Apache Kafka and Spark on Alibaba Cloud.

Building a Cloud-Native Feed Streaming System with Apache Kafka and Spark on Alibaba Cloud – Part B: Streaming Processing

In this 3-part blog series, we'll show you how to build a simple, intelligent, cloud-native feed streaming system with Apache Kafka and Spark on Alibaba Cloud.

The New Major Features of Flink 1.11.0

One of the release managers of Flink 1.11.0 shares his deep insights into the long-awaited features and explains them from different perspectives.

The Discovery of a Promising Technology

In this article, Zhang Jianfeng, a veteran in the open-source community, explains how to evaluate whether the technology is worth learning using three key dimensions.

Flink Is Attempting to Build a Data Warehouse Simply by Using a Set of SQL Statements

A discussion of how unifying batch and real-time processing in data warehouses can promote integrated computing.

Using PostgreSQL for Real-Time IoT Stream Processing Applications

In this article, we look at how PostgreSQL can be used for Stream Processing in IoT applications for real-time processing of trillions of data records per day.

Testing the Performance of PipelineDB for Real-Time Statistics on Virtual Machines

In this article, we discuss how PostgreSQL-based PipelineDB can implement real-time statistics at 10 million data records per second.