Introductions to large-scale distributed system architectures; insights and knowledge sharing on large-scale internet system architecture; front-end web architecture overviews; practical tips and experiences with PHP, JavaScript, Erlang, C/C++ and other languages in large-scale internet system development.
This article explains how to perform code‑level performance measurement in Java services, compares the traditional intrusive approach with a cleaner solution using JDK dynamic proxies, and demonstrates how to decouple timing logic from business code.
This article explains how to build a highly scalable web service by using load‑balancing, immutable server images, centralized session storage, appropriate database strategies, memory caching, and asynchronous task processing to handle millions of concurrent requests efficiently.
The article explains the design, operation, and performance characteristics of Java's G1 (Garbage‑First) collector, covering its parallelism, generational approach, space‑efficiency, pause‑time predictability, implementation details, execution phases, benchmark results, and practical recommendations for choosing a collector.
The talk by Twitter engineer Henna Kermani outlines how the Media Platform’s decoupled, resumable upload pipeline, handle‑based storage, TTL policies, on‑demand processing, and Progressive JPEG adoption enabled processing 3,000 images per second while cutting storage, compute costs and improving operational flexibility.
The article explains how building low‑latency applications relies on simplicity, minimizing data transformations, using lightweight libraries, and separating business from infrastructure code to achieve high performance, maintainability, and reduced operational costs.
The article shares a senior engineer’s reflections on systematic learning, the role of architects in coding, the pitfalls of endless meetings, how to keep systems alive, and practical questioning techniques that boost problem‑solving efficiency for software professionals.
This article provides an in‑depth technical overview of Meizu's cloud sync service, covering its business scenarios, the evolution of its core SyncML‑based protocols, modular architecture across multiple data centers, performance optimizations such as traffic reduction and connection handling, as well as high‑availability, security, and future SDK‑API extensions.
This article analyzes why redirecting MySQLdump output can crash the client, explores a GTID_PURGED bug that breaks AUTO_POSITION replication, examines GTID gaps caused by replicate‑do‑db filtering, and explains why TokuDB's OPTIMIZE TABLE appears to increase table size.
This article presents a series of MySQL backend improvements—including Group Commit redesign, DDL fast‑fail handling, GTID allocation refinements, persistent InnoDB auto‑increment values, replication parallelism, and key‑partition hash algorithm changes—detailing motivations, implementation steps, and performance results.
The article explains Netflix’s EVCache—a cloud‑native, memcached‑based distributed cache that provides low‑latency, high‑reliability data access across multiple regions using asynchronous Kafka‑driven replication, detailing its architecture, performance optimizations, and remaining challenges.
