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Enterprise Architecture with .NET
Enterprise Architecture with .NET

Enterprise Architecture with .NET: Expert-backed advice for information system design, down to .NET and C# implementation

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Enterprise Architecture with .NET

The Sad State of Information Systems

Before jumping to solutions, it is essential to share a thorough diagnostic of a situation. In the case of information systems and, more generally, computer use, any user knows of the term “bug” and has experienced the frustration associated with malfunction, sometimes with a high personal impact (loss of personal data, consequences regarding revenue, and so on). For companies, a malfunction in IT can have harsh consequences since they depend more and more on computers to realize their business operations, hence their financial objectives.

After defining what an information system is and explaining how its efficiency (or lack thereof) can be calculated, an attempt at classifying the causes of such problems will be exposed. As for solutions, this will be the subject of the rest of this book. But for now, we must understand what is going wrong with information systems, how this happens, and – more importantly – why.

...

What is an information system?

Before talking about the state of information systems, it might be useful to give a clear definition of what an information system is and even what a system is.

A system is a group of items that operate together to reach a common goal. This is the basic difference between a system and a union of individualities: the parts of a system work together toward a vision.

An information system (we will sometimes abbreviate it as IS) furthers this definition as a group of items that share information to reach a common objective. Strictly speaking, an IS is not necessarily made of software, even though most of what we will talk about in this book is about computerized information systems. And, even in the most sophisticated IS, there remains a non-neglectable part of information that is not software-contained. This is a situation that we will talk about, but for the main part of this book, we will put ourselves in the hypothesis of software-based information...

Software building – still craftsmanship

The precise definition of an information system, as interpreted in this book, has been given together with a brief history of its evolution. This history is not only very short but shows many recent evolutions, most of them radically different from the previous state of the art. This very rapid evolution is a sign that information systems design is not something that can be considered stabilized and completely understood.

There remains a large part of craftsmanship in the design and deployment of a software information system. Craftsmanship has its advantages: human attention to detail, custom-tailored functions, uniqueness, and more. It also has numerous drawbacks, such as high costs, difficulty in evolving in a controlled way, dependence on a few creators, and many others. These drawbacks outgrow the advantages in modern companies for which the information system has become the operational backbone.

Well-crafted information systems...

The efficiency of an IS

Engineering is about making things in a controlled way; information systems will not escape this much-awaited transition as their efficiency could be improved. To do so, we need indicators, measures, and a method to get the results on a given information system. Fortunately, there is a consensus on this in the field of expertise, as we will see now.

The measure of efficiency of a system

Since a system is a group of items working together toward a goal, as defined previously, measuring the efficiency of the whole means more than just knowing the efficiency measures of each item and summing them one way or another. It is often said that the value of a good information system is much more than the value of each of its moving parts and that the most positive effects come from their interactions.

A good way to measure the efficiency of an information system is to evaluate how much time and money it helps save on the functional processes it supports. However...

Examples of the prohibited evolution of IT systems

So far, things may been a bit theoretical. Most information systems are created without a defined plan and global, architected vision and this is reflected in the cost of maintenance – and thus the total cost of ownership – of the whole system. But what does this mean in practice? Is it that bad?

You may have heard expressions such as “spaghetti dish” or “data silos.” In the first case, the modules of the IS are so intertwined that it becomes impossible to touch a given part of the system without causing side effects on another one. In this case, evolution becomes complicated. The second expression is associated with modules of an IS that are so tightly separated from each other that they cannot share common data. This generally leads to duplicated data, loss of quality, and sometimes contradictory processes in the whole system. These are just a few examples of the designation of generic...

Summary

In this chapter, we discussed what an IS is and why, despite all the expertise and care that can be given by true craftsmanship in software design, the system that links all these applications together can present many issues, mainly in terms of maintenance costs and the ability to evolve in time and rise to the challenges of new business processes and requests for features. Many symptoms can alert us of the state of a given IS but they all boil down to one main reason: IT has not reached the state of a truly industrialized domain since it is still a very recent human activity compared to other actual industries.

In the next chapter, we will talk about how industrialization principles can be applied to software. This can be summed up in two actions: cutting down complexity and standardizing the interfaces.

Further reading

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Key benefits

  • Learn the principles of business-aligned software architecture
  • Relate theory to several well-known architecture frameworks
  • Apply the knowledge you gain to create a .NET application with a standard-based API
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

The software development domain continues to grow exponentially, and information systems have become the backbone of most industries, including non-digital-native ones. However, technical debt, coupling, and a high level of maintenance - sometimes bringing IT systems to a complete halt – continue to present a problem. The software industry has to still apply standards-based, modular, and repeatable approaches that exist in other industries. This book demonstrates such methods in action, particularly business/IT alignment principles. As you progress, you’ll cover advanced concepts and theories currently researched in academia. Then, you’ll be guided toward a practical framework to transfer these approaches to actual software architecture. Finally, a dedicated section will help you apply the knowledge you gain to a sample application in .NET where API design, dependency management, and code writing will be explained in detail to relate to the business-alignment principles explained at the beginning. Throughout the book, you’ll get equipped with the skills to create modular, long-living applications that serve your users better. By the end of this .NET book, you’ll not only have learned new concepts but also gained the ability to apply them immediately to your upcoming software endeavors.

Who is this book for?

This book is for software architects who want to have an in-depth understanding of how their applications will be used and how they can fight technical debt as well as design software to keep it working even when business requirements evolve. If your previous software designs experienced progressive loss of performance and the capacity to evolve, this book is for you.

What you will learn

  • Comprehend the main problems in real-world software development
  • Understand what business alignment means
  • Create a four-layer map of an information system
  • Become proficient in SOLID, C4, and domain-driven design (DDD) architecture
  • Get up to speed with semantics, APIs, and standards for better interoperability
  • Include BPM, MDM, and BRMS in information systems
  • Design an application with strict responsibility separation
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Table of Contents

29 Chapters
Part 1: Business-Aligned Architecture and the Problems It Solves Chevron down icon Chevron up icon
Chapter 1: The Sad State of Information Systems Chevron down icon Chevron up icon
Chapter 2: Applying Industrial Principles to Software Chevron down icon Chevron up icon
Chapter 3: Reaching Business Alignment Chevron down icon Chevron up icon
Chapter 4: Dealing with Time and Technical Debt Chevron down icon Chevron up icon
Chapter 5: A Utopic Perfect IT System Chevron down icon Chevron up icon
Part 2: Architecture Frameworks and Methods Chevron down icon Chevron up icon
Chapter 6: SOLID Principles, from Code to Systems Chevron down icon Chevron up icon
Chapter 7: C4 and Other Approaches Chevron down icon Chevron up icon
Chapter 8: Service Orientation and APIs Chevron down icon Chevron up icon
Chapter 9: Exploring Domain-Driven Design and Semantics Chevron down icon Chevron up icon
Chapter 10: Master Data Management Chevron down icon Chevron up icon
Chapter 11: Business Processes and Low Code Chevron down icon Chevron up icon
Chapter 12: Externalization of Business Rules Chevron down icon Chevron up icon
Chapter 13: Externalization of Authorization Chevron down icon Chevron up icon
Part 3: Building a Blueprint Application with .NET Chevron down icon Chevron up icon
Chapter 14: Decomposing the Functional Responsibilities Chevron down icon Chevron up icon
Chapter 15: Plugging Standard External Modules Chevron down icon Chevron up icon
Chapter 16: Creating a Write-Only Data Referential Service Chevron down icon Chevron up icon
Chapter 17: Adding Query to the Data Referential Service Chevron down icon Chevron up icon
Chapter 18: Deploying Data Referential Services Chevron down icon Chevron up icon
Chapter 19: Designing a Second Data Referential Service Chevron down icon Chevron up icon
Chapter 20: Creating a Graphical User Interface Chevron down icon Chevron up icon
Chapter 21: Extending the Interfaces Chevron down icon Chevron up icon
Chapter 22: Integrating Business Processes Chevron down icon Chevron up icon
Part 4: Validating the Architecture Chevron down icon Chevron up icon
Chapter 23: Applying Modifications to the System Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.7
(3 Ratings)
5 star 66.7%
4 star 33.3%
3 star 0%
2 star 0%
1 star 0%
Mittelette Jul 15, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Jean Philippe share in his book a complete and deep view of .NET for enterprise. The book spend time describing best practices and give great advice and tips for successful system architecture. Jean Philippe is a long runner in this matter and his book is a must have for every architect who need a deep and solid discussion on system design.
Amazon Verified review Amazon
Mystery Shopper Jul 15, 2024
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Crafted guide that delves into principles and practices of building robust enterprise applications using .NET framework. Each pattern is thoroughly explained with UML diagrams and practical code examples making complex concepts accessible and applicableBook focus on current trends so readers are equipped with skills needed to say relevant in evolving tech landscapeEnterprise architecture challenges like managing complexity, ensuring fault tolerance and achieving high availability is well addressed by providing practical solutions and best practicesThe book bridges the gap between theoretical knowledge and practical application offering a solid foundation for mastering enterprise architecture in .NET ecosystem.
Amazon Verified review Amazon
Jason Jul 07, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
There is a lot of theory in Enterprise Architecture in .NET by Jean-Philippe Gouigoux coupled with some good practical experience as you develop an information system for a fictional company. The theory is vital in laying the foundation to ensure that any architectural system we deliver is correctly aligned with the business and its needs. Enterprise Architecture in .NET by Jean-Philippe Gouigoux is a valuable resource for software developers and architects looking to deepen their understanding of enterprise architecture within the .NET ecosystem. Its blend of theoretical insight and practical guidance makes it a must-read for anyone aiming to design and implement high-quality enterprise solutions. Despite its complexity, the book’s clarity and comprehensive coverage ensure that readers come away with a robust understanding of how to leverage .NET for enterprise architecture. By reading this book, I was able to fill quite a few gaps in my knowledge when designing, developing enterprise systems. I recommend this book to people interested in software architecture from both a design and coding perspective.
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