Official account of Tencent Cloud Middleware. Focuses on microservices, messaging middleware and other cloud‑native technology trends, publishing product updates, case studies, and technical insights. Regularly hosts tech salons to share effective solutions.
This article explains the motivation, design choices, architecture, and core technical details of implementing the AMQP protocol on top of RocketMQ, including model mapping, proxy layer, LMQ queues, message flow, binary protocol handling, feature comparison, performance tuning, and future plans.
This article thoroughly examines Apache Kafka’s architecture, covering its macro components, ack strategies, replication mechanisms, high‑watermark handling, leader election, and performance optimizations such as batch sending, compression, PageCache, zero‑copy, mmap and sendfile, while also explaining common pitfalls like data loss and log corruption.
This article details Tencent Cloud engineers' technical solutions for large‑scale Apache Pulsar deployments, covering multi‑network access challenges, a routing‑addressing redesign, product deployment models, a four‑step cluster migration process with subscription‑progress compensation, and high‑availability best practices such as rack‑aware and cross‑AZ replica distribution.
Since September 2024, TDMQ Pulsar professional clusters offer message‑level and metadata‑level cross‑region replication, providing solutions for worldwide data archiving and core‑business disaster recovery, with detailed deployment steps, configuration guidance, and a financial‑industry best‑practice case study.
This article explores Polaris‑Mesh’s server‑side health‑check mechanism, detailing how client heartbeat requests are received via gRPC, processed through Apiserver, Resource Auth Filter, Service, Healthcheck, and Checker Plugin, and how the system’s configuration, plugins, and time‑wheel ensure reliable instance health monitoring.
This article explores PolarisMesh’s server-side registration process, detailing how client registration requests are handled, the data flow through apiserver, resource auth filter, service and storage layers, and provides concrete code examples for both Java and Go SDKs, along with MySQL storage schema.
This guide walks through the PolarisMesh polaris-server startup process, detailing configuration loading, bootstrap sequencing, and the initialization of core modules such as apiserver, cache, auth, namespace, service discovery, and config center, with code snippets and structural diagrams.
This article explains what Prometheus is, why TDMQ Pulsar needs Prometheus integration, outlines the two monitoring designs, and provides a detailed, step‑by‑step guide with configuration examples to expose Pulsar metrics for Prometheus collection.
This article explores Apache RocketMQ 5.x’s new cloud‑native capabilities—including the Proxy component, gRPC client, Pop consumption model, timer‑based delayed messages, tiered storage, distributed rate‑limiting, and containerized deployment on Tencent Cloud—while outlining architecture changes, practical usage patterns, and future directions.
This article examines the challenges of Kafka's traditional architecture, explains why local‑state heavy deployments cause operational difficulty and resource waste, and details Tencent Cloud's elastic, storage‑compute‑separated designs—including tiered storage, segment state machines, offset constraints, and performance optimizations—while sharing practical implementation insights and future directions.
