A fleeting mayfly in the world, a single grain in the boundless sea.
This article explains the core components of a Von Neumann computer, how CPU, registers, cache and main memory interact, the mathematics of pipeline timing, cache locality, bus bandwidth calculation, I/O transfer methods (polling, interrupt and DMA), and the trade‑offs of RAID 0, 1, 5, 6 and 10 with concrete examples and formulas.
This article guides readers through a 45‑minute review of the eight architecture categories—information‑system, layered, cloud‑native, SOA, embedded, communication, security, and big‑data—showing how to identify the relevant type from a problem statement, combine multiple architectures in a solution, and articulate the problem, solution, rationale, and cost with concrete examples and tables.
This article explains the roles of IoT, edge computing, artificial intelligence, and consortium blockchain in a smart‑factory scenario, showing how perception, transmission, near‑processing, centralized training, and trusted sharing map to architectural layers and business constraints.
This article explains why online transaction databases (OLTP) should not be used for multi‑year analytics, outlines the four core characteristics of a data warehouse, details the ETL process, compares star and snowflake schemas, contrasts data warehouses with data lakes, and guides you through selecting Lambda or Kappa architectures using a concrete retail‑store scenario.
This lesson explains why a single database cannot scale for massive e‑commerce data, introduces the three core pillars of distributed storage—sharding, replication, and horizontal scaling—covers batch and stream processing differences with Spark, Hive, Flink and Storm, compares compute‑storage integration versus separation, and shows how Kafka, HDFS, Spark and Flink fit together in a real‑time data platform.
Using an internet‑hospital example, the article explains that a solid security architecture must first identify what assets to protect (CIA), then define who can do what (AAA, least‑privilege and separation of duties), and finally plan how to respond when a defense line fails with zones, defense‑in‑depth, zero‑trust and the WPDRRC process.
Even with a 10 Gbps backbone, hospital networks can still suffer latency, jitter, packet loss and outages; this article walks through why layering (OSI/TCP‑IP), choosing TCP or UDP, applying QoS metrics, designing a three‑tier campus network and implementing five‑layer high‑availability to meet reliability, latency and continuity requirements.
The article explains why a braking controller that computes the right result but delivers it two seconds late is considered a failure, outlines the unique constraints of embedded systems, describes the five‑layer architecture, distinguishes strong versus weak real‑time, and details the roles of RTOS, HAL/BSP, soft‑hardware co‑design, and watchdog timers.
The article explains how enterprise architecture, layered architecture, SOA, microservices and cloud‑native each address different scales of system design, shows how they can coexist in a retail modernization roadmap, and guides architects on selecting and integrating the appropriate approach for each problem domain.
The article explains that a decade‑old retail core system supporting 600 stores cannot simply be replaced; instead it must be evaluated for business value, classified into maintenance categories, and evolved through static or dynamic changes, using reverse engineering, refactoring, and a phased migration strategy to ensure continuity and data integrity.
