Passionate about technology, though not great at solving problems; eager to share, never tire of learning!
This article explores why batch execution in Redis improves command efficiency, simplifies client logic, and enhances transaction performance, and then details four core batch query methods—MGET, HMGET, Pipeline, and Lua scripting—along with practical SpringBoot examples and best‑practice considerations.
This article explores industry‑proven techniques for handling massive flash‑sale traffic, covering pressure‑distribution, Redis + MQ combos, Lua‑based stock deduction, RocketMQ transactional messages, and Alibaba Cloud's Inventory Hint to ensure consistency and performance under extreme concurrency.
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.
This article explains how enabling Java method breakpoints in IntelliJ IDEA can increase startup time from under two seconds to over thirty seconds, why the JVM design causes the slowdown, and provides practical steps—removing method breakpoints, disabling method‑exit events, and using line breakpoints—to restore fast debugging performance.
Redis Sentinel provides a robust high‑availability solution by monitoring master‑slave clusters, automatically detecting failures, electing leaders, and performing failover, while using quorum voting, Pub/Sub communication, and configuration provisioning to ensure seamless master promotion and client redirection without manual intervention.
This article introduces a visualized full‑link log tracing solution that organizes and dynamically links business logs by leveraging DSL definitions, distributed parameter propagation, and a tree‑structured storage model, enabling fast, end‑to‑end issue localization in complex microservice systems such as the Dazhong Dianping content platform.
This comprehensive guide explores ten critical backend optimization strategies—from defensive validation and batch N+1 query elimination to asynchronous processing, parallel execution, caching, connection pooling, compression, message queuing, and design patterns—providing practical examples, Go code snippets, and best‑practice insights to boost performance and reliability.
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.
A recent workplace story shows that firing a few low‑performers can shake the entire team's morale, leading to a wave of voluntary resignations as employees lose trust, belonging, and confidence in the company's direction.
This article provides a comprehensive overview of Kafka, covering its overall structure, key components such as brokers, producers, consumers, topics, partitions, replicas, leader‑follower mechanics, logical and physical storage models, producer and consumer workflows, configuration parameters, partition assignment strategies, rebalancing, log retention and compaction, indexing, zero‑copy transmission, and the reliability concepts that ensure data durability.
