Explaining distributed systems and architecture through stories. Author of the "JVM Performance Tuning in Practice" column, open-source author of "Spring Cloud in Practice PassJava", and independently developed a PMP practice quiz mini-program.
This article walks through a real‑world case where an app’s content loading fails due to MTU/MSS mismatches, explains how packet captures reveal retransmissions and missing ACKs, demonstrates ping‑based MTU probing, and shows how oversized request parameters in a new version caused the issue.
StarRocks, an open‑source, high‑performance MPP analytical database under the Linux Foundation, offers vectorized engines, CBO optimizer, materialized views, and storage‑compute separation, integrates with BI tools and data lakes, and demonstrates superior query speed in benchmark tests against ClickHouse, Druid, and Trino.
This article details a complete system refactoring project, describing the original monolithic bottlenecks, the design of a distributed architecture, database model reconstruction, phased migration, testing, and rollout strategies to achieve scalable, reliable backend services.
This article analyzes the challenges faced by Ctrip's ticket‑booking transaction system during high‑traffic flash‑sale events and presents a series of architectural optimizations—including Redis caching, database load mitigation, supplier‑system safeguards, and fine‑grained traffic‑control strategies—to achieve stable, consistent, and fast performance under extreme concurrency.
This article explains how to use Jenkins for front‑end automated deployment, comparing Pipeline and Freestyle projects, detailing the overall architecture, step‑by‑step deployment process, core pipeline scripts for Git handling, dependency copying, building, backup, upload, update, cleanup, and email notifications.
This article explains the three main cloud service models—Infrastructure as a Service, Platform as a Service, and Software as a Service—by defining each, illustrating their analogies, describing their typical applications, and outlining how to choose the right model for business needs.
This article shares seven practical scenarios—such as asynchronous processing, traffic smoothing, message bus, delayed tasks, broadcast consumption, distributed transactions, and data hub integration—where message queues like RocketMQ, Kafka, ActiveMQ, and RabbitMQ help solve high‑concurrency challenges in modern backend systems.
This article details how a large‑scale lottery service was architected and tuned for extreme traffic spikes by applying server‑side rate limiting, application‑level throttling, behavior‑based filtering, caching strategies, database optimizations, and hardware upgrades, resulting in a ten‑fold performance improvement.
This article presents the design concepts, transaction flow, core components, and practical experience of building a scalable e‑commerce payment architecture, illustrated with detailed diagrams of transaction sequencing, system modules, and operational considerations for high‑traffic sales events.
This article explains the concept of remote calls, compares Feign and OpenFeign, walks through the step‑by‑step setup in a Spring Cloud project, and deeply analyzes the scanning, registration, dynamic proxy creation, MVC annotation parsing, request dispatch, Ribbon load‑balancing, and response handling mechanisms of OpenFeign.
