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 explains the purpose and components of enterprise architecture, compares the two leading frameworks TOGAF and Zachman, outlines their respective processes and viewpoints, and offers guidance on selecting the most suitable approach for an organization.
The article outlines emerging forces such as cloud, mobile, social, and big data that drive modern application architecture, advocates moving beyond traditional three‑tier designs, and recommends adopting service‑oriented, microservice, event‑driven, and open‑standard approaches while considering paradigms, models, and organizational structures.
This article explains the role of application architecture within enterprise architecture, describes its focus on application behavior and data exchange, outlines strategic alignment and common architectural patterns, and details the responsibilities and knowledge areas of an application architect.
The article outlines the complete solution‑architecture lifecycle, describing each phase—from problem identification and context definition through requirements capture, backlog creation, detailed design, implementation choices, and production delivery—while emphasizing the architect’s role in aligning technical and business goals.
The article explains how modern enterprises can manage the growing number of heterogeneous applications by applying Gartner's Pace‑Layered architecture, grouping systems by change velocity, and using Azure services such as API Management, Logic Apps, Service Bus, and Event Grid to achieve adaptive, loosely‑coupled integration across record, differentiation, and innovation layers.
The article explains the distinct roles of software architects, enterprise architects, solution architects, and technical architects, outlining their responsibilities, focus areas, and how they differ in scope, technical depth, and alignment with business goals within an organization.
This article explains enterprise architecture (EA), its main frameworks such as Zachman and TOGAF, the four architectural domains (business, application, data, technology), why organizations adopt EA, and provides an extensive EA glossary of terms and concepts.
This article outlines the evolution of software architecture styles, describing various architectural domains and sub‑domains—from web and mobile applications to integration, data, and analytics architectures—and their typical implementations, illustrated with a detailed classification table.
This article explains what a data lake is, its origins, key characteristics such as collecting all data, enabling diverse user access, and flexible processing, compares it with traditional data warehouses, discusses cost advantages, potential pitfalls like data swamps, and outlines best‑practice considerations for enterprise adoption.
The article explains the challenges of distributed transactions in microservices, introduces the Saga pattern as a solution, compares choreography and orchestration implementations, and outlines their benefits, drawbacks, and rollback mechanisms using an e‑commerce order processing example.
