Focusing on Java backend development, covering application architecture from top-tier internet companies (high availability, high performance, high stability), big data, machine learning, Java architecture, and other popular fields.
This article explains how to handle massive concurrent requests in a group‑buy scenario by using Redis distributed locks to avoid database overselling, MQ delayed messages for timeout processing, and a local outbox table to guarantee reliable cross‑service notifications.
This article examines common pitfalls and compares five backend solutions—database scans, JDK DelayQueue, Redis keyspace notifications, Redis sorted sets, and delayed MQ messages—for reliably handling order timeout in high‑traffic e‑commerce systems, highlighting their advantages, drawbacks, and best‑fit scenarios.
This article investigates a NullPointerException caused by FastJSON invoking the isChinaName() method during serialization, explains the underlying JavaBeanSerializer mechanisms, demonstrates debugging steps with code examples, and provides best‑practice guidelines using @JSONField annotations to control serialization behavior.
This article explores the most impactful JDK 17 enhancements—including records, sealed classes, pattern matching, text blocks, improved switch expressions, var type inference, and advanced Stream API features—showing how they simplify Java code, boost readability, and increase performance for developers transitioning from older versions.
This article explains server‑to‑client push scenarios, compares polling, WebSocket and Server‑Sent Events (SSE), details SSE APIs and browser compatibility, and provides complete front‑end and back‑end Node.js demos to help you choose the right technology for real‑time data delivery.
This article explains why MySQL master‑slave replication lag causes dirty reads, breaks down the asynchronous replication pipeline, and presents three practical mitigation strategies—including semi‑synchronous replication, forcing reads from the master, and cache double‑delete techniques—so you can choose the right solution for your workload.
This article explains how to simplify Spring MVC controller code by introducing a unified response format, leveraging ResponseBodyAdvice for automatic wrapping, applying JSR‑303 validation for request parameters, creating custom validators, and handling exceptions globally to keep business logic clean and maintainable.
This article explains Kafka's storage architecture, identifies three major message‑loss scenarios across production, storage, and consumption, and provides practical end‑to‑end configurations, detection methods, and business‑level patterns to achieve near‑zero message loss in high‑concurrency distributed systems.
This article walks through Redis's journey from a simple single‑instance cache to a robust, highly available, and horizontally scalable distributed system, covering persistence mechanisms, master‑slave replication, Sentinel automatic failover, and sharding clusters for real‑world high‑traffic applications.
The article argues that a programmer’s true moat isn’t a specific language or framework but core abilities such as rapid learning, problem abstraction, engineering mindset, communication, and genuine passion, which remain valuable despite fast‑changing technologies.
