![]() ![]() But slides meet their limits when it comes to mapping the many logical structures that make up cloud infrastructure and its many network topologies, security zones, CI/CD pipelines, and service dependencies.ĭetailed mappings like these are not just nice to have. cloud services: What's the difference?īut when communication tools come to mind, an organization often jumps first to the trusty slide deck. Slide presentations can help convey the overall goal for evolving architectures one project at a time, all while managing the key stakeholders through the deck's glossy storytelling. Learning path: Getting started with Red Hat OpenShift Service on AWS (ROSA).Hybrid cloud and Kubernetes: A guide to successful architecture.eBook: An architect's guide to multicloud infrastructure.But why should you consider using UML when there are so many different ways of modeling, including many you could make up on your own?Įvery approach to modeling has different advantages and disadvantages, but UML has six main advantages: The descriptions of what the notation means are called the semantics of the language and are captured in a language’s meta-model.Ī modeling language can be anything that contains a notation (a way of expressing the model) and a description of what that notation means (a meta-model). Without being told that one of the boxes in Figure 1-1 represents a class, you wouldn’t necessarily know what it is, even though you might be able to guess. However, notation is not the whole story. A more complete description of what the UML meta-model contains and why it is useful is available in Appendix B, but for now, just think of the UML meta-model as the description of what each element of notation means and a profile as a customization of that description for a specific domain (i.e., banking). There are references to the UML meta-model and profiles throughout this book. To effectively model a system, you need one very important thing: a language with which the model can be described. This precision allows a language to be machine-readable, so it can be interpreted, executed, and transformed between systems. Even better, with a formal modeling language, the language is abstract yet just as precise as a programming language. Your model is a simplification of the real system, so it allows the design and viability of a system to be understood, evaluated, and criticized quicker than if you had to dig through the actual system itself. When you model a system, you abstract away any details that are irrelevant or potentially confusing. Modeling helps you see the forest for the trees, allowing you to focus on, capture, document, and communicate the important aspects of your system’s design.Ī model is an abstraction of the real thing. In systems design, you model for one important reason: to manage complexity. This is where modeling-and of course UML-comes in. How do you (and your team) keep track of which components are needed, what their jobs are, and how they meet your customers’ requirements? Furthermore, how do you share your design with your colleagues to ensure the pieces work together? There are just too many details that can be misinterpreted or forgotten when developing a complex system without some help. Anything from a simple desktop application to a full multi-tier enterprise scale system can be made up of hundreds-and potentially thousands-of software and hardware components. Systems design on any reasonably large scale is difficult. Why is UML unified? What can be modeled? How is UML a language? And, probably most importantly, why should you care? This statement alone is a pretty conclusive argument for making UML part of your software repertoire, however it leaves some questions unanswered. The Unified Modeling Language (UML) is the standard modeling language for software and systems development. ![]()
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