This article outlines five typical errors that plague embedded firmware—race conditions, non‑reentrant functions, missing volatile qualifiers, stack overflows, and heap fragmentation—and provides concrete best‑practice guidelines to detect, avoid, and mitigate each issue.
This article explains why traditional local locks fail in distributed systems, surveys common distributed‑lock approaches, and provides a step‑by‑step guide to building a robust Redis‑based lock in Java—including expiration handling, UUID safety, Lua‑script atomicity, re‑entrancy, automatic renewal, and the RedLock algorithm—while comparing its performance against plain local locks.
This article explains the concept of distributed locks, outlines various implementation strategies, and dives deep into Redis-based solutions—including SETNX, GET, GETSET, EXPIRE, and Lua scripting—to achieve mutual exclusion, safety, reentrancy, and automatic lock release in high‑performance systems.
This article explains why distributed locks are needed, outlines their five essential properties, compares common implementation methods such as database, ZooKeeper, and Redis locks, and provides Java code examples for acquiring, releasing, re‑entering, and safely extending locks with watchdog mechanisms.
The article uses a casual conversation between two backend engineers to introduce multithreading concepts, explain shared vs. private resources, define thread‑safe and reentrant functions, illustrate common pitfalls with code examples, and provide practical guidelines for writing correct concurrent C++ services.
This article explains common Solidity vulnerabilities—including overflow, underflow, function visibility pitfalls, delegatecall misuse, and reentrancy attacks—illustrates each issue with concrete code examples, and shows how to mitigate them using SafeMath and proper contract design.
