Categories We Write About
  • Modeling entitlements across products

    When modeling entitlements across products, it’s essential to understand the relationship between users, their access rights, and the specific products or services they can access. Entitlements define what a user is allowed to do within a system, often based on their role, subscription, or permissions. To effectively model these entitlements, you’ll need to consider factors

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  • Modeling distributed pub-sub patterns

    Modeling distributed Publish-Subscribe (Pub-Sub) patterns involves designing a system where publishers send messages (events, data, notifications) to a topic, and subscribers receive messages from that topic. This pattern decouples producers (publishers) from consumers (subscribers), making it highly scalable and flexible. Let’s dive into how to model such a system, breaking it down into key components

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  • Modeling delayed or scheduled system actions

    Modeling delayed or scheduled system actions involves simulating scenarios where actions or tasks are intentionally postponed or triggered at a later time, often within a system or process. These scenarios are common in various applications, including task schedulers, distributed systems, event-driven systems, and automation processes. Here’s an outline of how you can model delayed or

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  • Modeling decentralized orchestration

    Decentralized orchestration is a critical concept in distributed systems, especially with the rise of technologies like blockchain, microservices, and edge computing. In essence, decentralized orchestration refers to the coordination and management of multiple independent, autonomous systems or processes without a central controller. Instead of relying on a single entity to dictate actions, these systems work

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  • Modeling cost-aware system behavior

    Modeling cost-aware system behavior is essential for optimizing performance while minimizing resource usage. In the context of systems engineering, software design, or business modeling, cost-awareness refers to the ability of a system to make decisions that balance operational efficiency with financial constraints. Here’s a breakdown of how you can model cost-aware behavior in a system:

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  • Modeling business exceptions architecturally

    When modeling business exceptions architecturally, you’re essentially designing a system that handles error conditions in a way that doesn’t break the flow of the application or the business logic. Business exceptions are specific errors that occur due to violations of business rules or logic, as opposed to technical issues (like database connection failures). Here’s a

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  • Modeling Audit Trails into Architectural Design

    Modeling audit trails into architectural design involves creating systems and processes that track and document changes, actions, and interactions within a structure or system. These audit trails play a significant role in ensuring transparency, accountability, and security, especially in complex projects that involve multiple stakeholders. By incorporating audit trails into architectural design, designers and engineers

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  • Modeling Architectures to Support Platform Ecosystems

    Modeling architectures to support platform ecosystems involves designing systems that are flexible, scalable, and capable of integrating diverse services and participants. A platform ecosystem is a dynamic, interconnected set of actors—consumers, providers, developers, and other stakeholders—who contribute to and derive value from a platform. These ecosystems are prevalent in digital markets like app stores, online

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  • Modeling architecture as a living ecosystem

    Modeling architecture as a living ecosystem offers a fresh perspective on design, one that emphasizes interconnectedness, sustainability, and adaptability. In this approach, buildings and urban spaces are not static structures, but dynamic environments that evolve over time. They function in harmony with nature, support human needs, and adapt to changing conditions. This concept draws heavily

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  • Modeling architectural risks during discovery

    Architectural risk modeling during the discovery phase is an essential part of designing and building resilient software systems. During the discovery phase, teams define the project’s scope, requirements, and design direction. It’s the phase where high-level decisions are made regarding the architecture and technologies that will be used. However, it is also a phase rife

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Categories We Write about