Tagged articles

16 articles

Page 1 of 1

May 14, 2025 · Backend Development

Implementing IP+URL Rate Limiting with Spring Boot Interceptor and Redis Distributed Lock

This guide demonstrates how to protect a Spring Boot service from malicious requests by creating a custom interceptor that tracks URL‑IP request counts, uses Redis for distributed locking, and disables offending IPs after a configurable threshold, with full code examples and configuration steps.

DistributedLockInterceptorJava

0 likes · 8 min read

Implementing IP+URL Rate Limiting with Spring Boot Interceptor and Redis Distributed Lock

Java Architect Essentials

Dec 1, 2024 · Backend Development

Resolving Execution Delay and Single‑Thread Issues in SpringBoot @EnableScheduling

This article explains why SpringBoot's default @EnableScheduling creates a single‑threaded scheduler that can cause execution delays, and demonstrates multiple solutions—including configuring the thread pool, using async execution, and applying a distributed lock with Redisson—to achieve reliable and concurrent scheduled tasks.

AsyncDistributedLockScheduling

0 likes · 17 min read

Resolving Execution Delay and Single‑Thread Issues in SpringBoot @EnableScheduling

Java Backend Technology

Aug 2, 2024 · Backend Development

Why SpringBoot @EnableScheduling Is Slow and How to Fix It

This article explains why SpringBoot's default @EnableScheduling runs tasks sequentially with noticeable delays, analyzes the underlying single‑threaded scheduler, and provides multiple solutions—including thread‑pool configuration, asynchronous execution, custom executors, and distributed locks—to achieve reliable and scalable scheduled jobs.

AsyncDistributedLockJava

0 likes · 17 min read

Why SpringBoot @EnableScheduling Is Slow and How to Fix It

Java Architect Essentials

Jun 19, 2024 · Backend Development

Implementing Interface Debounce and Request Lock in Java Backend with Redis and Redisson

This article explains the concept of interface debouncing, identifies which API endpoints need it, and provides detailed Java implementations using custom @RequestLock annotations, Redis caching, and Redisson distributed locks to prevent duplicate submissions in backend services.

BackendDebounceDistributedLock

0 likes · 15 min read

Implementing Interface Debounce and Request Lock in Java Backend with Redis and Redisson

IT Services Circle

Apr 25, 2024 · Backend Development

How Redisson Implements Distributed Locks Using Redis

This article explains how Redisson leverages Redis to implement distributed locks, detailing the underlying Lua scripts, lock acquisition and release processes, the watch‑dog mechanism for automatic lease renewal, and provides Java code examples for integrating and testing the lock functionality.

DistributedLockJavaLua

0 likes · 19 min read

How Redisson Implements Distributed Locks Using Redis

Java Architect Essentials

Feb 18, 2024 · Databases

Common Redis Use Cases and Implementation Patterns

This article presents sixteen practical Redis use cases—including caching, distributed locks, global IDs, counters, rate limiting, bitmaps, shopping carts, timelines, message queues, lotteries, likes, product tagging, filtering, follow relationships, and leaderboards—each explained with data types, commands, and code examples.

DataStructuresDistributedLockRateLimiting

0 likes · 8 min read

Common Redis Use Cases and Implementation Patterns

Top Architect

Apr 17, 2023 · Backend Development

Handling Redis Cache Pitfalls: Penetration, Avalanche, Breakdown, and Consistency with Bloom Filters and Distributed Locks

This article explains the four common Redis caching challenges—cache penetration, avalanche, breakdown, and data inconsistency—demonstrates their impact under high concurrency, and provides practical Java Spring Boot solutions including caching null objects, Bloom filters, distributed locks, random expiration, and delayed double‑delete strategies with full code examples.

BloomFilterCacheCacheInvalidation

0 likes · 28 min read

Handling Redis Cache Pitfalls: Penetration, Avalanche, Breakdown, and Consistency with Bloom Filters and Distributed Locks

Java Architect Essentials

Mar 7, 2023 · Databases

16 Common Redis Application Scenarios with Code Examples

This article presents sixteen typical Redis use cases—including caching, distributed locks, global IDs, counters, rate limiting, bitmaps, shopping carts, timelines, message queues, lotteries, likes, product tags, filtering, follow relationships, and ranking—each explained with practical code snippets and command examples.

CacheDistributedLockcode

0 likes · 9 min read

16 Common Redis Application Scenarios with Code Examples

Top Architect

Jun 15, 2022 · Backend Development

Implementing Request-Level Locking with a Custom @ApiLock Annotation in Java

This article explains how to prevent duplicate backend requests caused by rapid user clicks by creating a reusable @ApiLock annotation that leverages distributed locks, generates lock keys from request parameters, and integrates an AOP aspect to acquire and release locks around controller methods.

DistributedLockJavaannotation

0 likes · 14 min read

Implementing Request-Level Locking with a Custom @ApiLock Annotation in Java

政采云技术

Feb 17, 2022 · Backend Development

Comprehensive Guide to Java Locks: Synchronized, ReentrantLock, AQS, and Distributed Locks

This article provides an in‑depth overview of Java locking mechanisms, covering lock classifications, the inner workings of the synchronized keyword, ReentrantLock, AbstractQueuedSynchronizer, various lock optimizations, and practical implementations of distributed locks using Redis and Zookeeper.

AQSDistributedLockJava

0 likes · 28 min read

Comprehensive Guide to Java Locks: Synchronized, ReentrantLock, AQS, and Distributed Locks

Su San Talks Tech

Oct 9, 2021 · Databases

20 Essential Redis Interview Questions Every Engineer Should Know

This comprehensive guide covers Redis fundamentals, data structures, performance tricks, cache pitfalls, expiration policies, persistence options, high‑availability architectures, distributed locking techniques, and practical use‑cases, providing clear explanations and code examples for each topic.

CacheDataStructuresDistributedLock

0 likes · 57 min read

20 Essential Redis Interview Questions Every Engineer Should Know

IT Architects Alliance

Sep 24, 2021 · Databases

Common Redis Use Cases and Implementation Patterns

This article presents a comprehensive guide to using Redis for caching, distributed data sharing, distributed locks, global IDs, counters, rate limiting, bitmap statistics, shopping carts, timelines, message queues, lotteries, likes, product tagging, filtering, follow relationships, and ranking, complete with code examples.

BitmapsDataStructuresDistributedLock

0 likes · 8 min read

Code Ape Tech Column

Sep 7, 2021 · Databases

20 Classic Redis Interview Questions and Answers

This article compiles 20 classic Redis interview questions covering its definition, data structures, performance mechanisms, caching challenges, high‑availability setups, persistence options, distributed locking techniques, and best‑practice solutions, providing developers with comprehensive insights into Redis architecture and practical usage.

DistributedLockdatabaseinterview

0 likes · 50 min read

20 Classic Redis Interview Questions and Answers

Code Ape Tech Column

Aug 6, 2021 · Backend Development

Common Redis Use Cases: Caching, Distributed Locks, Counters, Rate Limiting, and More

This article outlines a variety of practical Redis use cases—including caching, distributed sessions, locks, global IDs, counters, rate limiting, bitmap statistics, shopping carts, timelines, message queues, lotteries, likes, product tagging, filtering, follow/recommendation models, and ranking—demonstrating how Redis can support diverse backend functionalities.

BackendBitmapDistributedLock

0 likes · 9 min read

Common Redis Use Cases: Caching, Distributed Locks, Counters, Rate Limiting, and More

Full-Stack Internet Architecture

Mar 29, 2021 · Databases

Implementing Distributed Read‑Write Locks with MySQL

This article explains how to build a distributed read‑write lock using MySQL tables and transactions, covering the business scenario, lock table design, detailed SQL procedures for write and read operations, logging, dead‑lock handling, and a cleanup job.

DatabaseConcurrencyDistributedLockLockTable

0 likes · 13 min read

Implementing Distributed Read‑Write Locks with MySQL

FunTester

Aug 9, 2020 · Backend Development

Implementing Multithreaded Test Execution with Thread Pools and Distributed User Locks in Java

This article describes how to accelerate test case execution by introducing a global thread pool with CountDownLatch synchronization, presents the full Java implementations of the custom thread pool and test‑run thread classes, and explains a combined local and distributed user‑lock mechanism that uses ConcurrentHashMap caching and transactional locks to ensure safe credential retrieval.

DistributedLockJavaTestingFramework

0 likes · 9 min read

Implementing Multithreaded Test Execution with Thread Pools and Distributed User Locks in Java