Crazy Maker Circle (Tech Freedom Architecture Circle): a community of tech enthusiasts, experts, and high‑performance fans. Many top‑level masters, architects, and hobbyists have achieved tech freedom; another wave of go‑getters are hustling hard toward tech freedom.
The article explains how Redisson implements a re‑entrant distributed lock using Redis hash structures and the atomic HINCRBY command to manage client identity, re‑entry counting, concurrency safety, and graceful release, providing a complete technical analysis with code, Lua scripts, and best‑practice guidelines.
This article provides a systematic, step‑by‑step approach for identifying the root causes of slow SQL statements and sluggish API responses, covering monitoring, query analysis, index tuning, N+1 detection, caching, async processing, and architectural best practices.
This article dissects LangGraph, the graph‑based workflow engine for LLM agents, explaining its stateful design, node‑edge architecture, compilation and execution process, and why it outperforms traditional linear LangChain chains for complex multi‑step AI applications.
The article analyzes a JD interview question on scaling a MySQL order table from 100 million to billions of rows, detailing four practical expansion strategies—stop‑service migration, double‑write migration, ShardingSphere middleware, and dual‑VIP routing—each with step‑by‑step procedures, code samples, risk assessments, and validation methods to enable near‑instant capacity growth without service interruption.
This article dissects the hidden technical debt of internal HTTP APIs, explains why HTTP/1.1 causes head‑of‑line blocking, redundant headers and serialization overhead, and walks through a step‑by‑step, data‑driven optimization roadmap—including HTTP/2, Protobuf, request aggregation, connection pooling, compression, caching, async processing, observability, and safe gray‑release deployment—backed by concrete benchmarks and code samples.
This article breaks down Spring’s layered architecture and walks through ten core design patterns—factory, singleton, proxy, template method, observer, adapter, decorator, strategy, chain of responsibility, facade, and delegate—showing how they appear in real interview scenarios and how mastering them can turn a tough interview question into a winning advantage.
This article explains Redis Pipeline’s core principle of batching commands to reduce network round‑trips, presents benchmark data showing up to 17‑fold speedups, details real‑world use cases such as cache warm‑up, heartbeat reporting, and high‑traffic events, and provides best‑practice guidelines on batch sizing, error handling, cluster constraints, and comparisons with transactions and Lua scripts.
The article dissects a high‑traffic flash‑sale interview question—how to guarantee zero order loss at 100,000 TPS when the master MySQL instance fails—by explaining the underlying performance‑consistency conflict, the three skills interviewers assess, and presenting five concrete, code‑driven solutions ranging from MySQL parameter tuning to semi‑sync replication, local message tables, group replication, and Redis‑Kafka traffic shaping.
The article dissects MyBatis' mechanisms for preventing SQL injection, compares the safe #{ } syntax with the risky ${ } syntax, explains the underlying PreparedStatement workflow, and provides concrete best‑practice guidelines and code examples for secure usage.
The article explains why MyBatis can execute database queries without concrete method implementations by using JDK dynamic proxies, detailing the roles of MapperProxy, MapperMethod, SqlSession and Executor, and walks through the four‑step process from proxy creation to result mapping.
