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asynchronous processing

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Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
May 6, 2025 · Backend Development

Why @Transactional Fails with @Async in Spring Boot 3 – A Deep Dive

This article explains how @Transactional and @Async normally cooperate in Spring Boot, demonstrates cases where the transaction does not roll back when @EnableAsync order is changed, analyzes the underlying AOP proxy creation and bean post‑processor execution order, and introduces new Spring 6.2 transaction‑rollback configuration options.

AOPAsyncSpring Boot
0 likes · 9 min read
Why @Transactional Fails with @Async in Spring Boot 3 – A Deep Dive
Top Architect
Top Architect
Apr 28, 2025 · Backend Development

Design and Implementation of a General‑Purpose Asynchronous Processing SDK for Spring Backend

This article introduces a non‑intrusive asynchronous processing SDK for Java Spring backends that leverages transaction events, provides fallback mechanisms, and includes configuration, components, usage examples, and code snippets to achieve reliable, eventually consistent async execution while preserving performance and data integrity.

JavaSpringasynchronous processing
0 likes · 10 min read
Design and Implementation of a General‑Purpose Asynchronous Processing SDK for Spring Backend
IT Services Circle
IT Services Circle
Apr 23, 2025 · Backend Development

Handling Sudden Traffic Spikes in Backend Systems

The article outlines a comprehensive approach for backend engineers to manage a sudden 100‑fold increase in traffic, covering emergency response, traffic analysis, robust system design, rate limiting, circuit breaking, scaling, sharding, pooling, caching, asynchronous processing, and stress testing to ensure system stability and performance.

CachingMicroservicesasynchronous processing
0 likes · 13 min read
Handling Sudden Traffic Spikes in Backend Systems
Architect
Architect
Apr 19, 2025 · Backend Development

Design and Implementation of a Generic Asynchronous Processing SDK for Java Backend

This article introduces a generic asynchronous processing SDK for Java backend systems, explaining its design principles, components, configuration, usage patterns, and advantages such as non‑intrusive design, transaction safety, and eventual consistency, while providing code samples, database scripts, and deployment details.

JavaSpringasynchronous processing
0 likes · 9 min read
Design and Implementation of a Generic Asynchronous Processing SDK for Java Backend
Java Captain
Java Captain
Apr 4, 2025 · Backend Development

High Concurrency: Principles, Impacts, and Practical Solutions for Backend Systems

This comprehensive guide explains the nature of high concurrency, distinguishes it from parallelism, outlines its potential consequences across application, database, and service layers, and presents a systematic set of mitigation strategies—including rate limiting, asynchronous processing, redundancy, caching, and queue‑based designs—supported by real‑world case studies and code examples.

CachingDatabase OptimizationRedis
0 likes · 27 min read
High Concurrency: Principles, Impacts, and Practical Solutions for Backend Systems
Code Ape Tech Column
Code Ape Tech Column
Mar 14, 2025 · Backend Development

Eight Common Use Cases of Message Queues in Backend Development

This article explores eight common scenarios for using message queues in backend development, covering asynchronous processing, service decoupling, traffic shaping, delayed tasks, log aggregation, distributed transactions, remote calls, and broadcast notifications, each illustrated with Java, RocketMQ, and Kafka code examples.

JavaKafkaMQ
0 likes · 15 min read
Eight Common Use Cases of Message Queues in Backend Development
Bilibili Tech
Bilibili Tech
Mar 14, 2025 · Backend Development

Evolution and Optimization of Bilibili Membership Ticketing System for High‑Concurrency Scenarios

Bilibili’s ticketing platform evolved from a single‑transaction, synchronous design to an asynchronous batch system and finally to a Redis‑cached inventory layer, adding DB isolation changes, sharding, bloom‑filter protection and adaptive rate limiting, which together enabled handling up to 930 k requests per second and stable high‑concurrency ticket sales.

Database IsolationRedis cachingasynchronous processing
0 likes · 18 min read
Evolution and Optimization of Bilibili Membership Ticketing System for High‑Concurrency Scenarios
Sanyou's Java Diary
Sanyou's Java Diary
Mar 6, 2025 · Backend Development

8 Real-World MQ Use Cases Every Backend Engineer Should Know

This article explores eight practical scenarios for using message queues—such as asynchronous processing, service decoupling, traffic shaping, delayed tasks, log collection, distributed transactions, remote calls, and broadcast notifications—providing code examples with RabbitMQ, RocketMQ, and Kafka to illustrate each pattern.

Broadcast NotificationsLog CollectionMessage Queue
0 likes · 15 min read
8 Real-World MQ Use Cases Every Backend Engineer Should Know
Sanyou's Java Diary
Sanyou's Java Diary
Jan 23, 2025 · Backend Development

How RocketMQ Achieves High Performance and Scalability with Queues, Brokers, and mmap

This article explains how RocketMQ tackles synchronous registration bottlenecks, tight coupling, and traffic‑burst risks by introducing an intermediate queue layer, designing a durable high‑availability broker, leveraging page cache and mmap for zero‑copy I/O, and using a nameserver for automatic routing, ultimately delivering a high‑throughput, low‑latency messaging system.

Distributed MessagingMessage Queueasynchronous processing
0 likes · 27 min read
How RocketMQ Achieves High Performance and Scalability with Queues, Brokers, and mmap
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Jan 8, 2025 · Backend Development

Eight High‑Performance Architecture Solutions for Large‑Scale Systems

This article outlines eight essential high‑performance architecture techniques—including load balancing, asynchronous processing, database optimization, caching, distributed clusters, CDN, microservices, and rate‑limiting/circuit‑breaking—to improve scalability, availability, and responsiveness of large‑scale backend systems.

CachingDatabase OptimizationDistributed Systems
0 likes · 9 min read
Eight High‑Performance Architecture Solutions for Large‑Scale Systems
Selected Java Interview Questions
Selected Java Interview Questions
Jan 7, 2025 · Backend Development

Spring Boot Asynchronous Processing: Principles, Configuration, and Practical Use Cases

This article explains Spring Boot’s asynchronous processing mechanism, covering its purpose, the @Async annotation, configuration steps, custom thread pool setup, handling return values, and typical use cases, enabling developers to improve performance and responsiveness in backend applications.

Backend DevelopmentJavaSpring Boot
0 likes · 9 min read
Spring Boot Asynchronous Processing: Principles, Configuration, and Practical Use Cases
macrozheng
macrozheng
Jan 7, 2025 · Backend Development

8 Real-World Scenarios for Using Message Queues in Modern Applications

This article explores eight practical use cases for message queues—including asynchronous processing, service decoupling, traffic shaping, delayed tasks, log collection, distributed transactions, remote calls, and broadcast notifications—providing code examples and architectural guidance for building robust backend systems.

Message QueueService DecouplingSpring Boot
0 likes · 13 min read
8 Real-World Scenarios for Using Message Queues in Modern Applications
IT Services Circle
IT Services Circle
Jan 3, 2025 · Backend Development

Eight Common Use Cases of Message Queues (MQ) with Code Examples

This article explains eight typical scenarios for using message queues—including asynchronous processing, service decoupling, traffic shaping, delayed tasks, log collection, distributed transactions, remote invocation, and broadcast notifications—providing clear explanations and Java code snippets for each case.

KafkaMessage Queueasynchronous processing
0 likes · 13 min read
Eight Common Use Cases of Message Queues (MQ) with Code Examples
JD Tech Talk
JD Tech Talk
Nov 20, 2024 · Backend Development

Design and Evaluation of Multiple Backend Excel Import Solutions for B2BTC Local Phase II

This article presents a detailed case study of four backend design alternatives for importing Excel data—ranging from synchronous processing to asynchronous pipelines with thread pools, message queues, and Redis locks—analyzing their advantages, drawbacks, and suitable scenarios.

Excel importMessage QueueRedis
0 likes · 10 min read
Design and Evaluation of Multiple Backend Excel Import Solutions for B2BTC Local Phase II
Java Tech Enthusiast
Java Tech Enthusiast
Jul 21, 2024 · Backend Development

Interface Performance Optimization Techniques for Backend Development

The article outlines practical backend interface performance optimizations—including proper indexing, SQL tuning, parallel remote calls, batch queries, asynchronous processing, scoped transactions, fine-grained locking, pagination batching, multi-level caching, sharding, and monitoring tools—to dramatically reduce latency and improve throughput.

CachingDistributed LockIndexing
0 likes · 25 min read
Interface Performance Optimization Techniques for Backend Development
macrozheng
macrozheng
Jun 25, 2024 · Backend Development

7 Real-World Message Queue Patterns Every Backend Engineer Should Master

This article explores seven classic message‑queue use cases—from asynchronous decoupling and traffic‑shaping to delayed tasks, broadcast consumption, distributed transactions, and using Kafka as a data hub—illustrated with real‑world examples and code snippets.

Broadcast ConsumptionDelayed MessageDistributed Systems
0 likes · 12 min read
7 Real-World Message Queue Patterns Every Backend Engineer Should Master
Wukong Talks Architecture
Wukong Talks Architecture
Jun 20, 2024 · Backend Development

Seven Classic Use Cases of Message Queues

This article shares seven practical scenarios—such as asynchronous processing, traffic smoothing, message bus, delayed tasks, broadcast consumption, distributed transactions, and data hub integration—where message queues like RocketMQ, Kafka, ActiveMQ, and RabbitMQ help solve high‑concurrency challenges in modern backend systems.

Broadcast ConsumptionDelay MessagesDistributed Systems
0 likes · 11 min read
Seven Classic Use Cases of Message Queues
Wukong Talks Architecture
Wukong Talks Architecture
Apr 24, 2024 · Backend Development

Core Concepts and Common Patterns of RabbitMQ

This article explains why message queues are needed, outlines RabbitMQ's architecture, describes its basic concepts and working modes such as simple, work, fanout, direct and topic, and discusses reliability features like transactions, confirms, dead‑letter queues, TTL, clustering, ordering, and handling message backlogs.

ClusteringDead LetterMessage Queue
0 likes · 24 min read
Core Concepts and Common Patterns of RabbitMQ
Sanyou's Java Diary
Sanyou's Java Diary
Apr 1, 2024 · Backend Development

7 Real-World Message Queue Patterns Every Backend Engineer Should Know

This article shares seven classic use cases of message queues—including asynchronous decoupling, traffic smoothing, bus architecture, delayed tasks, broadcast consumption, distributed transactions, and data hub integration—illustrated with real-world experiences and code examples to help engineers design robust high‑concurrency systems.

Broadcast ConsumptionDelayed MessagesDistributed Systems
0 likes · 12 min read
7 Real-World Message Queue Patterns Every Backend Engineer Should Know
Selected Java Interview Questions
Selected Java Interview Questions
Mar 7, 2024 · Backend Development

Evolving an Order Processing System with Design Patterns: From Chain of Responsibility to Distributed Asynchronous Flow

This article walks through a real‑world order‑processing case, demonstrating how successive design‑pattern refinements—starting with the Chain of Responsibility, then adding Factory, Proxy, Template Method, Observer and distributed messaging—enable multi‑tenant, asynchronous, and scalable backend workflows.

Distributed SystemsFactory PatternJava
0 likes · 15 min read
Evolving an Order Processing System with Design Patterns: From Chain of Responsibility to Distributed Asynchronous Flow