This article demonstrates how to use Spring Boot 3.5.0 together with Kafka as a high‑throughput message bridge to asynchronously execute long‑running tasks, publish their progress to a Kafka topic, and let clients poll a REST endpoint for real‑time status updates.
The article presents a fast/slow dual‑queue isolation and water‑level rate‑limiting design for the Ozone S3 gateway, detailing separate thread pools, async handling, bucket‑level throttling, and comprehensive metrics that together improve service stability and throughput under mixed workloads.
The article walks senior developers through seven core Spring Boot 3.5.0 concepts—resilience with Resilience4j, observability via Actuator, distributed transactions using Saga, advanced caching, asynchronous processing, API‑gateway routing, and OAuth2/JWT security—providing concrete code snippets, configuration examples, and visual illustrations for each technique.
This article demonstrates how to accelerate Spring Batch jobs in Spring Boot 3 by comparing a default synchronous job with asynchronous processing using ThreadPoolTaskExecutor and then with virtual threads, providing code examples, configuration steps, and performance results that show up to a 90‑fold speedup.
This guide explains how to integrate Alibaba's EasyExcel library into a Spring Boot project to perform low‑memory, high‑performance Excel import and export using annotation‑based entity mapping, listener mode, dynamic headers, async processing, validation, templates, and encryption.
This article introduces ShardingSphere's three components—Sharding-JDBC, Sharding-Proxy, and the upcoming Sharding-Sidecar—explains why sharding is needed for relational databases, demonstrates horizontal data sharding concepts, and provides a complete Spring Boot example with configuration, code, and asynchronous batch insertion.
This article presents a continuously updated collection of over 90 practical Spring Boot 3 examples, covering request/response access, ThreadLocal handling, async interceptors, request metadata extraction, custom type converters, 404 error handling, and related source code to help developers build robust backend services.
This article details how Bilibili’s membership‑purchase platform tackled massive traffic spikes by redesigning the order call chain, introducing concurrent and asynchronous processing, and applying a sharding strategy that split databases and tables, ultimately boosting latency performance and supporting over 4,000 TPS during peak sales.
This article walks through the evolution of a video‑like service from a simple database‑centric design to a robust, CQRS‑based, Kafka‑driven asynchronous architecture that tackles CPU bottlenecks, connection limits, duplicate consumption, scaling, flow‑control, hotspot isolation, error retry, and MQ failure while providing a unified messaging platform.
This article details a robust solution for exporting massive MySQL datasets—potentially millions of rows—to Excel by leveraging asynchronous processing with jobs or MQ, the memory‑efficient EasyExcel library, pagination, multi‑sheet handling, OSS storage, and WebSocket notifications, ensuring performance and usability.
This article provides a detailed source‑code walkthrough of DBLE’s network module, explaining how it processes MySQL packets, implements selector‑based multiplexing, and performs asynchronous task handling to achieve high‑performance database communication for client connections.
This article explains the core concepts, architecture, and practical techniques—including load‑balancing, caching, async processing, and Redis sharding—required to design and implement a high‑concurrency seckill system that can handle millions of requests in a short time window.
