Joined Tencent (nicknamed "Goose Factory") through campus recruitment at a second‑tier university. Career path: Tencent → foreign firm → ByteDance → Tencent. Started as an interviewer at the foreign firm and hopes to help others.
This guide presents a concise, step‑by‑step roadmap for mastering Go, covering beginner fundamentals, essential packages, and advanced cloud‑native projects like Etcd, Docker, Kubernetes, and Istio, while offering practical study tips and career insights.
This article explores why reliable inter‑service communication is essential in microservice architectures, illustrates common pitfalls with real‑world examples, and presents five practical retry and persistence solutions—including fast retry, in‑memory queues, persistent queues, retry services, and pre‑notification—to improve message delivery reliability.
Learn how to set up Go in Linux, macOS, and Windows, understand its core syntax, manage packages, work with variables, arrays, slices, maps, control structures, goroutines, channels, interfaces, write unit tests, use Go Convey, connect databases with GORM, and build simple web servers with the standard library or Gin.
This article explains the LRU cache eviction algorithm, its core principle, real‑world applications in Redis and MySQL, compares naive array and linked‑list solutions, and provides a complete O(1) doubly‑linked‑list‑plus‑hash‑map implementation in Python for interview preparation.
This article explains why caching MySQL with Redis is essential, outlines the consistency challenges that arise, and presents four practical solutions—expiration, delete‑then‑repopulate, message‑queue updates, and binlog subscription—along with their pros, cons, and guidance for choosing the right approach in interviews.
This article explains why large tables hurt performance, defines database sharding and its vertical and horizontal strategies, compares partitioning by key, size, or time, and outlines practical implementation options and migration steps for robust, scalable backend systems.
This article analyzes how many TCP connections MySQL will open when writing data at 100 rows per second for five seconds, examining MySQL processing capacity and connection‑pool configuration to illustrate the key factors that affect connection count.
