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 internal DNS challenges of VIP‑based service routing, compares intrusive SDK‑based and non‑intrusive DNS approaches, and details how PolarisMesh supports both centralized and distributed DNS implementations, including their capabilities, configuration steps, and future enhancements.
Femas, the first open‑source cloud‑native standard microservice management framework from Tencent, unifies control‑plane protocols and data‑plane components to help enterprises smoothly transition to cloud‑native architectures, offering modular, multi‑runtime capabilities, plug‑in extensibility, and a ready‑to‑use console.
This article explains how replacing the traditional iptables‑based sidecar traffic‑hijacking in Istio with eBPF programs and sockmap can cut CPU usage, increase QPS and lower latency, while detailing the implementation, architecture, and performance results on Kubernetes.
This article traces the evolution of scheduled tasks—from simple single‑machine cron jobs to modern distributed scheduling platforms—explains three core scenario types, compares major frameworks such as Quartz, xxl‑job, PowerJob and ElasticJob, and details Tencent Cloud Task (TCT) architecture, a sharding case study, and future trends.
This article examines the challenges Java faces in cloud‑native serverless contexts and provides practical techniques—including container‑image optimization, BuildKit usage, AppCDS class‑data sharing, and JVM tuning—to reduce image size, accelerate startup, and improve resource efficiency.
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.
