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Java Tech Workshop

Focused on Java backend technologies, sharing fundamentals, multithreading, JVM, the Spring ecosystem, microservices, distributed systems, high concurrency, source‑code analysis, and practical experience. Continuously delivers high‑quality original content, interview guides, and learning roadmaps to help Java developers progress from beginner to advanced, enhancing technical skills and core competitiveness.

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Latest from Java Tech Workshop

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Java Tech Workshop

Jun 11, 2026 · Backend Development

Building a Production-Ready SpringBoot + Vue3 Front‑End/Back‑End Separation Architecture

This article presents a step‑by‑step guide to constructing a full‑stack SpringBoot + Vue3 project with production‑grade features such as global exception handling, unified error codes, JWT authentication, multi‑environment configuration, CORS solutions, pagination, Pinia state management, on‑demand UI imports, and Nginx reverse‑proxy deployment.

CORSJWTMyBatis-Plus

0 likes · 17 min read

Building a Production-Ready SpringBoot + Vue3 Front‑End/Back‑End Separation Architecture

Java Tech Workshop

Jun 10, 2026 · Backend Development

Mastering SpringBoot @Async: Thread‑Pool Configuration, Pitfalls, and Best Practices

The article explains why @Async, the most used async solution in SpringBoot, often causes OOM, missing trace IDs, silent failures, and task avalanches, and then walks through the underlying AOP mechanism, thread‑pool choices, timeout handling, context propagation, transaction interactions, monitoring, and dynamic tuning.

@AsyncCompletableFutureMDC

0 likes · 13 min read

Mastering SpringBoot @Async: Thread‑Pool Configuration, Pitfalls, and Best Practices

Java Tech Workshop

Jun 9, 2026 · Backend Development

Spring Batch Basics: Building Efficient SpringBoot Batch Jobs

This article explains why naive for‑loop DB operations fail on large data sets, introduces Spring Batch’s chunk, transaction, retry, skip and restart features, and provides step‑by‑step SpringBoot configurations, code samples for Tasklet and Chunk jobs, database and CSV readers/writers, and manual or scheduled job triggering.

ChunkRetrySpring Batch

0 likes · 18 min read

Spring Batch Basics: Building Efficient SpringBoot Batch Jobs

Java Tech Workshop

Jun 8, 2026 · Databases

Advanced SpringBoot Read‑Write Splitting: Master‑Slave Switching and Automatic Failover

In high‑concurrency internet architectures, a MySQL master‑slave setup with read‑write splitting is the baseline for high availability, but static routing suffers from node failures and lag; this article explains how ShardingSphere provides health checks, auto‑failover, load‑balancing, and degradation to achieve resilient read‑write separation.

Automatic FailoverHigh AvailabilityMySQL

0 likes · 14 min read

Advanced SpringBoot Read‑Write Splitting: Master‑Slave Switching and Automatic Failover

Java Tech Workshop

Jun 6, 2026 · Backend Development

Advanced SpringBoot Database Sharding with ShardingSphere

This article explains why single‑database, single‑table architectures hit performance limits at millions of rows, introduces ShardingSphere as the preferred zero‑deployment sharding solution for SpringBoot, and walks through vertical and horizontal splitting, configuration, custom algorithms, read/write splitting, and distributed transactions with practical code examples.

Custom Sharding AlgorithmReadWrite SplittingSeata

0 likes · 14 min read

Advanced SpringBoot Database Sharding with ShardingSphere

Java Tech Workshop

Jun 4, 2026 · Backend Development

Understanding SpringBoot Two‑Level Caching: MyBatis vs Application‑Level Cache

The article explains how layered caching in Java back‑ends—combining MyBatis first‑ and second‑level caches with a service‑layer Caffeine + Redis cache—affects cache granularity, consistency, distribution, and performance, and provides concrete configuration examples, code snippets, and best‑practice guidelines.

BackendCacheCaffeine

0 likes · 16 min read

Understanding SpringBoot Two‑Level Caching: MyBatis vs Application‑Level Cache

Java Tech Workshop

Jun 3, 2026 · Backend Development

Why Local Caffeine/Guava Caches Outperform Redis in High‑Concurrency SpringBoot Apps

SpringBoot developers can dramatically boost throughput and cut latency by pairing a microsecond‑level local cache (Caffeine or Guava) with Redis, using a two‑level architecture that isolates hot data in JVM memory, reduces network and serialization overhead, and provides configurable eviction policies for various use cases.

Cache EvictionCaffeineGuava

0 likes · 13 min read

Why Local Caffeine/Guava Caches Outperform Redis in High‑Concurrency SpringBoot Apps

Java Tech Workshop

Jun 2, 2026 · Backend Development

Implementing Distributed Locks in Spring Boot with Redis

This article explains why local locks like synchronized and ReentrantLock fail in microservice clusters, introduces the fundamentals and essential properties of distributed locks, walks through five iterative Redis lock implementations that address dead‑lock, atomicity, and timeout issues, and finally shows how to adopt the production‑grade Redisson library with best‑practice guidelines for key naming, lock scope, and lock type selection.

Javadistributed lockmicroservices

0 likes · 17 min read

Implementing Distributed Locks in Spring Boot with Redis

Java Tech Workshop

Jun 1, 2026 · Backend Development

Advanced SpringBoot Caching: How to Build a Custom CacheManager

The article explains why the default SpringBoot cache manager is insufficient for production, then walks through creating custom Caffeine and Redis CacheManager beans, configuring expiration, key prefixes, serialization, and multi‑level caching to solve issues like cache penetration, key collisions, and performance bottlenecks.

CacheCacheManagerCaffeine

0 likes · 11 min read

Advanced SpringBoot Caching: How to Build a Custom CacheManager

Java Tech Workshop

May 31, 2026 · Backend Development

Spring Boot Service Circuit Breaking and Degradation with Sentinel: A Practical Guide

This article explains how microservice architectures suffer from cascading failures and demonstrates how to use Sentinel for rate limiting, circuit breaking, and degradation—including architecture, configuration, code examples, and best‑practice tips—to achieve high‑availability Spring Boot services.

Fault ToleranceRate LimitingSentinel

0 likes · 16 min read

Spring Boot Service Circuit Breaking and Degradation with Sentinel: A Practical Guide