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 reviews the evolution of message queues, explains why Pulsar was adopted at Tencent, details the challenges of open‑source solutions, and presents the architectural design, performance and observability optimizations, plus a real‑world case study and future roadmap.
This article explains how Tencent engineers configure Apache Pulsar for disaster recovery, covering multi‑replica consistency, journal handling, rack‑aware placement, GEO cross‑region replication, dual‑write/dual‑consume setups, and operational lessons for ad and billing scenarios.
This article presents a comprehensive guide to microservice architecture evolution, covering routing, multi‑active deployment, gray releases, canary/rolling/blue‑green strategies, traffic shading, rate limiting, and practical implementation steps using cloud‑native gateways, service meshes, and Kubernetes labeling.
This guide explains how to design, implement, and configure rate‑limiting solutions for high‑traffic flash‑sale scenarios, covering architecture goals, algorithm choices, single‑node vs distributed approaches, cloud‑native gateway settings, scaling with Kubernetes, and practical Go code examples.
This article details the WeChat engineering team’s practical experience deploying and optimizing Apache Pulsar on Kubernetes for massive real‑time recommendation workloads, covering cloud‑native advantages, non‑persistent topics, load‑balancing tweaks, broker cache improvements, COS offloader development, and future roadmap.
This article details Tencent Cloud's year‑long practical optimizations for Apache Pulsar, covering Ack hole impacts, TTL/Backlog/Retention strategies, delayed‑message handling, Admin API blocking, ZooKeeper and BookKeeper leaks, and multi‑level cache improvements to achieve stable, high‑performance messaging at massive scale.
Polaris v1.11.3 introduces refined rate‑limiting rules, new configuration templates, several bug fixes across the server, console and K8s controller, provides detailed upgrade SQL scripts, and acknowledges new community contributors, with download links for all components.
Spring Cloud Tencent 1.7 introduces support for Spring Cloud Hoxton, 2020, and 2021, provides a detailed version list and numbering scheme, and adds major features such as service governance plugins, dynamic configuration improvements, monitoring enhancements, and extended Polaris integration, with links to documentation and repositories.
This article explains how Apache BookKeeper's garbage collection works, detailing minor and major GC triggers, compression strategies, entry log size management, usage calculations, and provides a step‑by‑step code analysis of the GarbageCollectorThread implementation.
This guide explains how to use Tencent Cloud Elasticsearch Service’s one‑click data‑link visual integration with CKafka to create end‑to‑end pipelines—covering source selection, component configuration, data collection, caching, processing, and destination setup—for both CVM and TKE environments, while reducing operational overhead.
