Passionate about technology, though not great at solving problems; eager to share, never tire of learning!
This article walks through Kafka’s network‑layer internals, detailing how the client prepares, pre‑sends, and actually sends messages, then reads and parses responses, with code snippets that illustrate the Selector, KafkaChannel, and related classes in Java NIO.
This article reveals the most common Redis pitfalls—including unexpected key expiration loss, O(1) commands that block or cause OOM, master‑slave synchronization quirks, and persistence bugs—while providing practical guidance to avoid each issue and keep your cache performant and reliable.
This article compiles practical Elasticsearch recommendations covering query caching, filter contexts, pagination, aggregation strategies, index mapping, shard design, and scripting best practices, providing developers with actionable insights to improve search performance, reduce resource consumption, and prevent common operational issues.
This article explains the principles and benefits of distributed tracing systems, introduces OpenTracing standards, details SkyWalking’s architecture and mechanisms for automatic span collection, context propagation, unique trace IDs, sampling strategies, and performance impact, and shares practical implementation experiences and custom plugin development within a real‑world microservice environment.
This article explains how to achieve the three‑high goals of high performance, high availability and easy scalability in microservice systems by using traffic governance techniques such as circuit breaking, various isolation strategies, retry mechanisms, timeout controls, degradation tactics and rate‑limiting, illustrated with practical examples and diagrams.
This article explains the complete execution process of a MySQL UPDATE statement, covering InnoDB page structures, tablespaces, buffer pool caching, redo/undo logs, binlog, and the two‑phase commit mechanism, helping readers understand how MySQL ensures data consistency and durability.
This article explains how to determine whether Redis is truly experiencing latency spikes, outlines a step‑by‑step benchmarking process, identifies common causes such as high‑complexity commands, big keys, memory limits, fork overhead, AOF settings, CPU binding, swap usage, and provides concrete configuration and code examples to resolve each issue.
This article recounts three production‑level pagination bugs encountered in a payment system, explains why they occurred—ranging from naive batch processing to MySQL's nondeterministic LIMIT behavior—and shows how proper pagination, ThreadLocal cleanup, and deterministic ordering resolve the issues.
This article walks through the evolution of an online supermarket from a simple monolithic website to a fully decoupled microservice architecture, covering initial requirements, common pitfalls, service decomposition, database splitting, monitoring, tracing, logging, gateways, service discovery, circuit breaking, testing, frameworks, and service mesh, while illustrating each step with diagrams and practical advice.
This article outlines ten practical techniques—including system splitting, decoupling, asynchronous processing, retry strategies, compensation, backup, multi‑active deployment, isolation, rate limiting, circuit breaking, and degradation—to help engineers design highly available, resilient architectures for large‑scale internet applications.
