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This article explains the fundamentals of database transactions, the ACID properties, how they differ in distributed environments, and details two‑phase and three‑phase commit protocols while offering personal insights on the challenges of implementing distributed transactions.
This article explains the distinct concepts of distributed systems, high concurrency, and multithreading, clarifies their relationships, describes horizontal scaling and vertical splitting, and outlines how these techniques are applied in Java backend development while also promoting a free Java interview series.
ManishRai Jain recounts his journey from Google’s single‑process Graphd, built for Freebase, to creating Dgraph, a distributed graph‑database that shards SPO triples by predicate, avoids fan‑out broadcasts, and supports deep traversals, illustrating the technical evolution and design choices behind modern scalable graph systems.
This article provides a thorough introduction to distributed systems, covering fundamental theories such as nodes, networks, time, ordering, consistency models (CAP, ACID, BASE), design patterns, scenario classifications, engineering practices, and the full technology stack needed to build and operate microservice‑based distributed applications.
This article outlines a comprehensive Java interview study plan, covering JVM fundamentals, sorting algorithms and collections, multithreading, key storage technologies like Redis, MySQL, and Elasticsearch, Spring framework deep dive, Dubbo-based distributed architecture, and essential design patterns to master for backend development roles.
The article describes YouZan's business reconciliation platform for distributed systems, which detects and quantifies data inconsistencies by offering easy plug‑in integration, a four‑step orchestrated workflow, high‑throughput offline processing with Spark, second‑level real‑time event handling, a three‑layer architecture, and health monitoring for transaction chains.
This article curates a comprehensive list of technical resources covering backup system architectures, distributed technology designs, cloud computing frameworks, high‑performance computing, storage solutions, server virtualization, networking, big data, databases and AI, providing readers with links to in‑depth analyses and best‑practice guides.
This article explains the differences and relationships among distributed systems, high‑concurrency architectures, and multithreading, outlines their key concepts and implementation strategies, and then promotes a free five‑day Java advanced live course series covering databases, multithreading, Spring MVC, high‑concurrency patterns, and distributed transaction practice.
This article provides practical guidance for Java backend interview preparation, emphasizing solid Java fundamentals, hands‑on framework experience, distributed system knowledge, database performance tuning, core data‑structure and concurrency concepts, Linux log troubleshooting, and how to showcase real project achievements.
This article explains the causes of hot key problems in high‑traffic scenarios, outlines their potential impact on system performance, and presents multiple mitigation strategies—including server‑side caching, Memcache/Redis, local caches, read‑write separation, and proactive hot‑data detection—while comparing their advantages and trade‑offs.