This guide explains the two main steps for expanding a RocketMQ cluster—scaling brokers and scaling name servers—detailing when to add resources, configuration changes, and command examples for a smooth horizontal expansion.
The article explains SLA fundamentals for messaging middleware, defining contracts, SLI/SLO relationships, key metrics such as availability, latency and error‑rate, dynamic lifecycle processes, template components, error‑budget calculations, industry benchmarks, internal monitoring practices, a sample SLA draft, and best‑practice recommendations for continuous improvement.
This comprehensive guide introduces RocketMQ's architecture, compares it with RabbitMQ and Kafka, outlines typical use cases, explains key concepts such as producers, brokers, consumers, topics, tags, and offsets, and provides complete Java code examples for building producers and consumers.
This article provides a detailed introduction to RocketMQ, covering its purpose as a distributed messaging middleware, the roles of NameServer, Producer, Broker, and Consumer, and explains how each component functions within a scalable, high‑throughput architecture.
Apache ActiveMQ versions prior to 5.18.3 are vulnerable to a deserialization flaw that allows remote code execution via crafted OpenWire messages on port 61616, affecting various activemq-client and activemq-openwire-legacy artifacts, and can be mitigated by upgrading to 5.15.16, 5.16.7, 5.17.6, 5.18.3 or later.
Pulsar’s cloud‑native, multi‑tenant architecture with hierarchical flow control, stateless brokers separated from BookKeeper storage, global partitions supporting multiple consumers, push‑based dispatch, and precise acknowledgment outperforms Kafka, RocketMQ, and InLong‑TubeMQ, though its reliance on ZooKeeper and higher resource usage demand careful operational planning.
This article provides a comprehensive overview of Apache RocketMQ, detailing its core components—Namesrv, Broker, Producer, and Consumer—explaining routing registration, message storage, queue allocation strategies, and key concepts such as topics, tags, and consumer types, while comparing it with Kafka.
This article provides a comprehensive overview of RocketMQ, covering its origins and evolution, core architecture components, message domain model, essential features such as ordered delivery and deduplication, and typical use cases like traffic shaping, asynchronous decoupling, and distributed transaction messaging.
