A daily treasure trove for architects, expanding your view and depth. We share enterprise, business, application, data, technology, and security architecture, discuss frameworks, planning, governance, standards, and implementation, and explore emerging styles such as microservices, event‑driven, micro‑frontend, big data, data warehousing, IoT, and AI architecture.
This article provides a comprehensive overview of technology applications, describing their definitions, examples in education, healthcare, blockchain, information technology, quantum computing, 5G, and common software, while also discussing adoption considerations and related standards.
An introductory guide outlines 26 essential IT concepts—from adaptive technology and agile development to cloud computing, AI, and blockchain—explaining each term’s definition and why it matters for new IT professionals, helping them understand the foundational vocabulary needed in today’s technology landscape.
The article outlines the composition and responsibilities of a security architecture team, detailing the roles of Security Architect, Information Security Architect, CISO, and Security Analyst, their required business and technical skills, risk management, threat modeling, and how they integrate with enterprise architecture.
The article surveys the most important data‑science tools—including Jupyter Notebooks, notebook lab platforms, RStudio, Sweave/Knitr, IDEs, domain‑specific solutions, hardware, and data sources—explaining how they support modern, real‑time analytics and help organizations turn raw data into actionable insights.
The article explains how to define security requirements within business context, outlines strategic security architecture principles, distinguishes governance, management and operations, and describes the steps and components needed to formalize and prioritize effective security processes for an organization.
The article outlines eBay’s key scalability best practices—including functional partitioning, horizontal sharding, eliminating distributed transactions, aggressive asynchronous decoupling, intelligent caching, and pervasive virtualization—to illustrate how large‑scale web systems can achieve linear or sub‑linear growth while maintaining availability and performance.
The article explains how enterprise architecture (EA) principles and design architecture principles (DAPs) should be defined, prioritized, and linked to business goals to guide technical standards, overcome resistance, and drive effective governance and behavioral change within organizations.
The article explains information governance as a business‑driven program that ensures data accuracy, completeness, consistency, accessibility, and security, outlines three essential roles, describes the data administrator’s duties, and details the key procedures and their relationship to corporate and IT governance.
In this interview, veteran CIO Neal Sample discusses why every architecture eventually becomes outdated, emphasizes curiosity and continuous learning, and highlights machine learning and artificial intelligence as the most promising technologies to drive game‑changing results for enterprises in the next 12‑24 months.
This article explains business architecture as the bridge between business models and strategy, defines Enterprise Business Architecture (EBA), outlines its four key dimensions—people, finance, process, and organization—and discusses the various factors that influence its design and implementation.
