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Redis Lock

10 articles · Page 1 of 1
Java Tech Workshop
Java Tech Workshop
Aug 13, 2026 · Backend Development

Is Your SpringBoot @Scheduled Task Reliable? A Full‑Stack Breakdown

This article examines the hidden pitfalls of SpringBoot’s @Scheduled annotation—such as duplicate runs in clusters, single‑thread blocking, uncaught exceptions, and lack of monitoring—and provides a step‑by‑step guide to configuring custom thread pools, distributed locks, timeout handling, dynamic task management, and observability for production‑grade reliability.

Dynamic ConfigurationException HandlingMonitoring
0 likes · 19 min read
Is Your SpringBoot @Scheduled Task Reliable? A Full‑Stack Breakdown
Coder Trainee
Coder Trainee
Jul 27, 2026 · Backend Development

From Zero to One: Build a Smart Table Reservation System with Triple‑Endpoint Architecture and Apple‑Style Design

This article walks through the end‑to‑end creation of a production‑grade table‑reservation platform, covering the three‑tier client architecture (WeChat Mini‑Program, H5/App via UniApp, and a Vue3 + Element Plus PC admin), a dual Spring Boot backend, Redis distributed locking combined with MySQL unique indexes for high‑concurrency seat booking, JWT‑based authentication, RBAC permission control, and an Apple‑inspired design system, all illustrated with concrete code snippets and deployment tips.

JWTRBACRedis Lock
0 likes · 21 min read
From Zero to One: Build a Smart Table Reservation System with Triple‑Endpoint Architecture and Apple‑Style Design
Cloud Architecture
Cloud Architecture
Jun 24, 2026 · Backend Development

Four Levels of Concurrency Control: Optimistic Locks to Message Queues for Million‑QPS

High‑concurrency systems must go beyond simple locking; the article breaks down four progressive strategies—optimistic locking, database pessimistic locking, Redis distributed locks, and finally message‑queue serialization—explaining their trade‑offs, implementation details, pitfalls, and how to combine them into a layered architecture that sustains million‑QPS workloads with consistency, throughput, and recoverability.

Concurrency ControlHigh QPSMessage Queue
0 likes · 32 min read
Four Levels of Concurrency Control: Optimistic Locks to Message Queues for Million‑QPS
JD Cloud Developers
JD Cloud Developers
Nov 20, 2024 · Backend Development

Designing Scalable Excel Import Pipelines: Four Architecture Patterns Compared

This article examines four architectural approaches for importing Excel data—synchronous, thread‑pooled with MQ, fully asynchronous with Redis locks, and an ideal high‑throughput variant—detailing their trade‑offs, performance impacts, and suitable business scenarios in modern backend systems.

Backend ArchitectureExcel importRedis Lock
0 likes · 10 min read
Designing Scalable Excel Import Pipelines: Four Architecture Patterns Compared
Top Architect
Top Architect
May 8, 2021 · Backend Development

Distributed Locks: Why They Are Needed, Required Conditions, and Three Implementation Approaches (Database, Redis, Zookeeper)

This article explains the necessity of distributed locks in multi‑node applications, outlines the essential properties a distributed lock must satisfy, and compares three common implementation methods—database‑based exclusive locks, Redis‑based locks, and Zookeeper‑based locks—highlighting their advantages, drawbacks, and usage patterns.

Redis LockZookeeper lockbackend
0 likes · 15 min read
Distributed Locks: Why They Are Needed, Required Conditions, and Three Implementation Approaches (Database, Redis, Zookeeper)
Xianyu Technology
Xianyu Technology
Jun 9, 2020 · Backend Development

Xianyu Coin Service Migration: A Service‑Based Data Migration Approach

Alibaba migrated Xianyu Coin’s points from the legacy KingTower platform to the new Banliang service using a four‑phase, service‑based approach—preparation, active/passive data migration with distributed locks, dual‑write for consistency, reconciliation, and a gradual service switch—completing the transition in a month without user impact.

Data MigrationReconciliationRedis Lock
0 likes · 11 min read
Xianyu Coin Service Migration: A Service‑Based Data Migration Approach
dbaplus Community
dbaplus Community
Dec 3, 2018 · Backend Development

Mastering Distributed Locks: DB, Redis, and Zookeeper Implementations Compared

This article examines the design and implementation of distributed locks using databases, Redis, and Zookeeper, outlining their core characteristics, practical code patterns, performance trade‑offs, fault‑tolerance mechanisms, and guidance on selecting the right solution for specific workloads.

DB lockRedis LockSystem Design
0 likes · 11 min read
Mastering Distributed Locks: DB, Redis, and Zookeeper Implementations Compared