Backend technology sharing, architecture design, performance optimization, source code reading, troubleshooting, and pitfall practices
This article describes how to implement a low‑overhead SQL audit feature for the Cobar database middleware by modifying its code, using an agent with Kafka, choosing UDP for inter‑process communication, and designing a custom ring‑buffer to achieve near‑baseline throughput with only minimal performance loss.
An in‑depth analysis reveals that Dubbo 2.7.x fails to propagate provider‑side implicit parameters back to the consumer because the new AsyncRpcResult/AppResponse architecture discards attachments, a change introduced for better async support, effectively making this behavior a bug in the 2.7 series.
This article traces Dubbo’s evolution from its Alibaba origins to its Apache graduation, outlines its core features such as protocol design, service registry, clustering, filters, and extensibility, and discusses recent cloud‑native and reactive programming directions shaping its future.
This guide shows how Go simplifies unit testing, benchmarking, CPU profiling with pprof, and live debugging using dlv, providing step‑by‑step code examples, command‑line usage, and visual analysis techniques for backend developers.
This tutorial walks through installing OpenResty, creating a simple hello‑world service, and implementing a practical Lua‑based request routing example that distinguishes single‑ versus multiple‑UID POST bodies, complete with Nginx configuration, Go backend code, and testing steps.
This guide explains why Dubbo introduced application‑level service discovery, how it differs from interface‑level registration, and provides step‑by‑step instructions—including Docker‑based Zookeeper setup, source code configuration, and code examples—to enable and test the new feature in Dubbo 2.7.5.
This article explains what a service registry is, outlines its essential capabilities such as high availability, horizontal scaling, health checking, routing, and multi‑datacenter support, and compares popular open‑source solutions like Zookeeper and Nacos to help you select the right one for your stack.
This article explains a high‑performance ring buffer implementation for a multi‑threaded producer‑consumer model in Java, covering design choices, atomic index handling, benchmark results, and further optimizations such as cache‑line padding and multi‑buffer sharding.
This article explains why a company using Dubbo with Zookeeper should adopt cloud‑native practices, compares Zookeeper‑based discovery with Kubernetes DNS, and provides a detailed migration plan to Nacos—including a dynamic registry, the nacosSync tool, and extensive performance optimizations.
An in‑depth Java performance study explores LongAdder, compares it with AtomicLong and lock‑based counters using JMH, and walks through successive custom implementations (V0‑V5) that apply striping, modulo optimization, false‑sharing elimination, and advanced hash probing to approach or surpass LongAdder’s throughput.
