This article covers when to use Function Compute instead of containers for event-driven workloads on Alibaba Cloud, and the implementation patterns fo...
This article introduces production-tested strategies for building resilient, high-traffic e-commerce infrastructure on Alibaba Cloud using ACK, PolarDB, Redis, and RocketMQ.
This article introduces Apache RocketMQ 5.5.0's LiteTopic, a new message model designed for millions of lightweight AI agent sessions with event-driven distribution and session persistence.
This article introduces Apache RocketMQ's strategic evolution into an AI-native message engine for long-running sessions, intelligent compute scheduling, and agent collaboration.
RocketMQ LiteTopic enables fine-grained, per-scenario traffic governance for AI inference workloads via millisecond-level throttling and consumption suspension.
This article introduces how to build a stable, reliable, and efficient real-time speech message link architecture using the LiteTopic feature of ApsaraMQ for RocketMQ.
This article examines how Alibaba Cloud RocketMQ functions as the message buffer layer between IoT Platform and downstream consumers, enabling durable...
This article explores the essential value of an Event-Driven Architecture (EDA) in the age of AI.
The article introduces Apache RocketMQ’s AI-native upgrade with Lite-Topics and intelligent scheduling to tackle GenAI challenges like long sessions, scarce compute, and Agent collaboration.
This article explains how Alibaba Cloud uses serverless architecture to cut operational costs and improve communication for IoT devices in a cloud-native environment.
This article discusses the development and improvement of RocketMQ and its application of the Raft protocol.
This article introduces the upgrades and optimizations made to the batch processing model in RocketMQ.
This article introduces ApsaraMQ Copilot for RocketMQ, a tool that helps consumers use message queue products more efficiently and ensures the stability of business integration links.
The article delves into the evolution of modern messaging systems, focusing on key features such as software-hardware integration, millions of queues, and tiered storage.
This article is part of a series focusing on interview questions for technicians, with a specific emphasis on Kafka.
This article introduces the features of random indexes in RocketMQ, including the separation of hot and cold data, specific details, and comparisons with other systems.
This article aims to analyze and evaluate the selection of technical architectures in a data-intensive application model.
This article describes the author's unedrstanding on RocketMQ Commit Log Storage Protocol.
This tutorial describes how to configure TLS-encrypted transmission in RocketMQ 5.0.
This article introduces the comparison of the architecture diagrams between RocketMQ version 5.0 and version 4.9.X.
