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.
In a detailed interview, Tencent Cloud micro‑service director Wang Hongzhi outlines middleware’s expanding scope, cloud‑native adaptation, standardization challenges, service‑mesh innovations, and the evolving landscape of messaging systems like Kafka, Pulsar, and RocketMQ.
This guide explains how Tencent's open‑source PolarisMesh service mesh can be combined with the Go implementation of gRPC to add service discovery, health checking, dynamic routing, circuit breaking, graceful shutdown, and traffic limiting, providing step‑by‑step code examples and integration architecture.
This article explains how PolarisMesh, Tencent's open‑source service discovery and governance platform, solves service address management and fault tolerance challenges in a Spring Boot microservice ecosystem, and provides step‑by‑step instructions—including Maven dependency, provider and consumer configuration, and sample code—to quickly integrate PolarisMesh via Feign.
This article explains how Apache Pulsar brokers track consumer acknowledgments using cursors, store metadata in ZooKeeper and BookKeeper, handle acknowledgment gaps with range sets, and optimize memory usage through LRU and segmented storage to ensure reliable message delivery.
This article provides a comprehensive overview of Apache ZooKeeper, covering its purpose, client‑server thread architecture, key source‑code snippets, watch mechanism, performance characteristics of large‑scale clusters, and practical operational strategies for disaster recovery, observer load, GC pauses, and configuration tuning.
The article explains how observability—through logs, metrics, and traces—transforms the opaque, complex day‑2 operations of micro‑service, Kubernetes, and serverless environments into a deterministic, diagnosable system, highlighting OpenTelemetry, practical collection methods, and real‑world implementation challenges and benefits.
This article provides a comprehensive analysis of ZooKeeper 3.5.5 source code, covering the distributed‑mode server startup sequence, leader election algorithm, cluster data synchronization, server role responsibilities, and the request‑processor pipeline, offering practical insights for developers and operators.
This article explains why message acknowledgment is crucial in Apache Pulsar, describes the four ack modes, shows which subscription types support each mode, and details the internal implementation, batching, negative ack handling, and unacknowledged‑message processing for reliable broker‑consumer communication.
This comprehensive guide introduces ZooKeeper's purpose, core data structures, API commands, watch mechanisms, server roles, leader election, ZAB protocol, observer nodes, storage strategies, session handling, client architecture, and serialization, providing both theoretical background and practical tips for developers and operators.
This article provides a comprehensive overview of RabbitMQ, covering the AMQP protocol fundamentals, key components such as connections, channels, exchanges, queues, and bindings, as well as message structures, various messaging patterns, consumption models, financial‑grade features, and a detailed feature comparison.
