Software Architecture by Apress

This book explores how to define, design, and maintain enterprise AI applications, exploring the impacts they will have on the teams who work with them. The book is structured into four parts. In Part 1: Defining Your AI Application, you are introduced to the dynamic interplay between human adaptability and AI specialization, the concept of meta systems, and the mechanics of prediction machines. In Part 2: Designing Your AI Application, the book delves into the anatomy of an AI application, unraveling the intricate relationships among data, machine learning, and reasoners. This section introduces the building blocks and enterprise architectural framework for designing multi-agent systems. Part 3: Maintaining Your AI Application takes a closer look at the ongoing life cycle of AI systems. You are guided through the crucial aspects of testing and test automation, providing a solid foundation for effective development practices. This section covers the critical tasks of security and information curation that ensure the long-term success of enterprise AI applications. The concluding section, Part 4: AI Enabled Teams, navigates the evolving landscape of collaborative efforts between humans and AI. It explores the impact of AI on remote work dynamics and introduces the new roles of the expert persona and the AI handler. This section concludes with a deep dive into the legal and ethical dimensions that AI-enabled teams must navigate. This book is a comprehensive guide that not only equips developers, architects, and product owners with the technical know-how of AI application development, but also delves into the broader implications for teams and society. What You Will Learn Understand the algorithms and processes that enable AI to make accurate predictions and enhance decision making Grasp the concept of metasystems and their role in the design phase of AI applications Know how data, machine learning, and reasoners drive the functionality and decision-making capabilities of AI applications Know the architectural components necessary for scalable and maintainable multi-agent AI applications Understand methodologies for testing AI applications, ensuring their robustness, accuracy, and reliability in real-world applications Understand the evolving dynamics of human-AI coordination facing teams in the new enterprise working environment Who This book Is For A diverse audience, primarily targeting enterprise architects, middle managers, tech leads, and team leads entrenched in the IT sector or possessing a tech-savvy background, including professionals such as digital marketers. Additionally, tech-savvy individual contributors--ranging from digital content creators and data analysts to administrators and programmers--stand to benefit significantly.

APIs are the enablers for a thriving ecosystem that can drive revenue growth and ROIs for any organization. This book will cover all relevant topics and trends that enterprise architects need to know to build and govern APIs as a product. The second edition of the API Management builds on the foundation established in the first edition to cover recent advances in API development as well as the principles and best practices of building API as a product. It has been updated to cover the latest and emerging trends in API architecture, design, and implementation covering the use of gRPC, graphQL, microservices and service mesh to building and manage a scalable API platform. New chapters cover how to build an effective API strategy for digital transformation and implement an API-First architecture to build and deliver APIs as a Product. Any software architect or developer looking to adopt and build APIs for digital transformation and excellence within their organization will find this book to be an invaluable resource. What You Will Learn Understand API Management Architecture and Design best practices How to build an effective API strategy and build APIs as product How to design, build and test APIs using API-First approach How to implement API Security What are the latest API technology trends and adoption across industry .

This book is a comprehensive roadmap for transitioning legacy systems into agile, cloud-native, and intelligent architectures. Whether you’re a software architect, DevOps engineer, or technology decision-maker, this book is your essential guide to navigating the evolving landscape of modern application development. The book starts with an overview of why modernisation is imperative in today’s fast-paced environment, highlighting the limitations of legacy architectures and the advantages of embracing cloud-native models. From building a solid modernisation roadmap to understanding the anatomy of legacy systems like monoliths and N-tier applications, readers will gain practical insights into planning and execution. As the book progresses, it delves into the core of modern software architecture—microservices, containers, Kubernetes, and API-first design—explaining how to design, deploy, and scale distributed systems. Real-world implementations using Spring Boot, Node.js, React, and cloud platforms provide hands-on guidance for developers. Further, chapters cover performance optimisation, observability with Prometheus and Grafana, centralised logging, and CI/CD pipeline automation with Jenkins and GitHub Actions. Security is woven throughout, with detailed chapters on OAuth, API gateway protection, DevSecOps, and regulatory compliance, including GDPR and HIPAA. The book culminates with cutting-edge applications of AI and ML—chatbots, predictive analytics, and intelligent automation—showing how AI can enhance both customer experience and backend operations. The book is a collection of multiple patterns, best practices, and real-world use cases, which equips the reader to lead successful modernisation initiatives that are secure, scalable, and future-ready. What you will learn: What are the limitations of legacy architectures and the advantages of embracing cloud-native models. Understand the principles and strategies behind modernising legacy applications for cloud-native environments. How to design, implement, and scale microservices using technologies like Spring Boot, Node.js, React, Docker, and Kubernetes. How to secure modern applications through authentication, authorisation, API protection, and compliance with industry standards. Who this book is for: This book is designed for cloud architects and engineers, software developers, DevOps engineers, and IT leaders looking to modernize applications without starting from scratch.

Take your distributed applications to the next level and see what the reference architectures associated with microservices can do for you. This book begins by showing you the distributed computing architecture landscape and provides an in-depth view of microservices architecture. Following this, you will work with CQRS, an essential pattern for microservices, and get a view of how distributed messaging works. Moving on, you will take a deep dive into Spring Boot and Spring Cloud. Coming back to CQRS, you will learn how event-driven microservices work with this pattern, using the Axon 2 framework. This takes you on to how transactions work with microservices followed by advanced architectures to address non-functional aspects such as high availability and scalability. In the concluding part of the book you develop your own microservices application using the Axon framework and true BASE transactions, while making it as secure as possible. You will: Shift from monolith architecture to microservices Build solid architectures without ACID-compliant databases Work with transactional systems Discover the high availability principles in microservices.

This book teaches you how to evaluate a distributed system from the perspective of immutable objects. You will understand the problems in existing designs, know how to make small modifications to correct those problems, and learn to apply the principles of immutable architecture to your tools. Most software components focus on the state of objects. They store the current state of a row in a relational database. They track changes to state over time, making several basic assumptions: there is a single latest version of each object, the state of an object changes sequentially, and a system of record exists. This is a challenge when it comes to building distributed systems. Whether dealing with autonomous microservices or disconnected mobile apps, many of the problems we try to solve come down to synchronizing an ever-changing state between isolated components. Distributed systems would be a lot easier to build if objects could notchange. After reading The Art of Immutable Architecture, you will come away with an understanding of the benefits of using immutable objects in your own distributed systems. You will learn a set of rules for identifying and exchanging immutable objects, and see a collection of useful theorems that emerges and ensures that the distributed systems you build are eventually consistent. Using patterns, you will find where the truth converges, see how changes are associative, rather than sequential, and come to feel comfortable understanding that there is no longer a single source of truth. Practical hands-on examples reinforce how to build software using the described patterns, techniques, and tools. By the end of the book, you will possess the language and resources needed to analyze and construct distributed systems with confidence. The assumptions of the past were sufficient for building single-user, single-computer systems. But as we expand to multiple devices, shared experiences, and cloud computing, they work against us. It is time for a new set of assumptions. Start with immutable objects, and build better distributed systems. What You Will Learn Evaluate a distributed system from the perspective of immutable objects Recognize the problems in existing designs, and make small modifications to correct them Start a new system from scratch, applying patterns Apply the principles of immutable architecture to your tools, including SQL databases, message queues, and the network protocols that you already use Discover new tools that natively apply these principles .

Embark on a journey through the Agile-Enterprise Solution Architecture (A-ESA) framework with this in-depth guide designed to provide a structured approach to IT solution modeling. The modeling approach is based on the principles of simplicity, significance, and systematics. It effectively addresses architectural debt issues in today's agile and large-scale IT solutions. Beginning with a foundational overview of A-ESA model specifications, the book introduces readers to the intent and unique methodologies behind A-ESA. It then delves into practical demonstrations through example solution cases, offering real-world context and insights into various architectural styles. Each chapter builds on this knowledge, covering the governing ideas of the thinking framework and essential topics such as key metrics, and modeling considerations for diverse architectural styles, ensuring a thorough understanding of A-ESA's application in different contexts. The book also emphasizes the link between enterprise architecture (EA) and solution architecture (SA), and the importance of governance and measurement in maintaining the integrity and effectiveness of architectural solutions. Readers will explore critical metrics, governance techniques, and the impact of agile modeling on purpose and architectural leading practices. With practical examples, measurement techniques, and governance strategies, this guide equips readers with the cognitive and practical tools necessary for strategic and effective architectural thinking. Concluding with reflections and future outlooks, this comprehensive guide offers valuable insights for mastering IT solution modeling within the A-ESA framework. You Will: Gain hands-on experience with the Agile-Enterprise Solution Architecture (A-ESA) framework through detailed examples and solution cases that illustrate various architectural styles and modeling techniques. Understand the critical metrics and model mappings necessary for evaluating architectural quality and performance. Develop a deep understanding of the A-ESA architectural thinking, including strategic, enterprise, business, data, and cloud architecture considerations This book is for : IT architects, enterprise architects, and solutions architects.

Stay competitive in today’s software industry by mastering microservices. As microservices architecture becomes the modern standard, this book demystifies the transition from monoliths to microservices with clear guidance and practical examples for easier adoption and implementation. The book starts with the basics, explaining what microservices are, their benefits, and how they compare to monolithic architectures. From there, you will explore a wide range of topics including service discovery, load balancing, authentication and authorization, resilience, fault tolerance, and much more as well as practical Java examples throughout. Each chapter is meticulously crafted to offer a balance of theory and hands-on application, ensuring you not only understand the concepts but also apply them effectively in real-world scenarios. By the end of the book, you will be ready to design, implement, and manage scalable and efficient microservices-based systems. Additionally, you will gain a forward-looking perspective on emerging trends and the integration of microservices in AI and IoT. What You Will Learn Compare microservices and monolithic systems, understanding the basics, benefits and key differences Understand key principles for decomposing monoliths and designing for failure Master synchronous vs. asynchronous communication and when to use each Explore containerization, orchestration with Kubernetes, and scaling strategies Secure microservices and monitor health and performance in distributed systems Who This Book Is For Novice and experienced developers who are new to microservices and want to master the topic to drive successful software projects. The book is programming language-agnostic, and can be understood by developers of any language, but those with some familiarity with Java will benefit more from the specific examples provided.

Spring Boot helps developers create applications that simply run. When minimal configuration is required to start up an application, even novice Java developers are ready to start. But this simplicity shouldn't constrain developers in addressing more complex enterprise requirements where microservice architecture is concerned. With the need to rapidly deploy, patch, or scale applications, containers provide solutions which can accelerate development, testing as well as production cycles. The cloud helps companies to scale and adapt at speed, accelerate innovation and drive business agility, without heavy upfront IT investment. What if we can equip even a novice developer with all that is required to help enterprises achieve all of this, this book does this and more. Java Microservices and Containers in the Cloud offers a comprehensive guide to both architecture and programming aspects to Java microservices development, providing a fully hands-on experience. We not only describe various architecture patterns but also provide practical implementations of each pattern through code examples. Despite the focus on architecture, this book is designed to be accessible to novice developers with only basic programming skills, such as writing a "Hello World" program and using Maven to compile and run Java code. It ensures that even such readers can easily comprehend, deploy, and execute the code samples provided in the book. Regardless of your current knowledge or lack thereof in Docker, Kubernetes, and Cloud technologies, this book will empower you to develop programming skills in these areas. There is no restriction on beginners attempting to understand serious and non-trivial architecture constraints. While mastering concurrency and scalability techniques often requires years of experience, this book promises to empower you to write microservices, as well as how to containerize and deploy them in the cloud. If you are a non-programming manager who is not afraid to read code snippets, this book will empower you to navigate the challenges posed by seasoned architects. It will equip you with the necessary understanding of specialized jargon, enabling you to engage in more meaningful discussions and break through barriers when collaborating with programmers, architects and engineers across the table. The code examples provided in the book are intentionally designed to be simple and accessible to all, regardless of your programming background. Even if you are a C# or Python programmer and not familiar with Java, you will find the code examples easy to follow and understand. You will Acquire proficiency in both RPC-style and Messaging-style inter-microservice communication Construct microservices utilizing a combination of SQL (PostgreSQL) and NoSQL (MongoDB) databases Leverage Liquibase, a database schema version control tool, and administer UI in conjunction with PostgreSQL Leverage both GraphQL and conventional REST approaches side by side Gain practical experience in implementing Hexagonal and Onion Architectures through hands-on exercises Integrate asynchronous processing into your Java applications using powerful APIs such as DeferredResult and CompletableFuture Who it's for: Developers, programmers and Architects who want to level up their Java Micoservices and Archtecture knowledge as well as managers who want to brush up on their technical knowledge around the topic.

Gain a foundational understanding of SRE and learn its basic concepts and architectural best practices for deploying Azure IaaS, PaaS, and microservices-based resilient architectures. The new edition of the book has been updated with the latest Azure features for high-availability in storage, networking, and virtual machine computing. It also includes new updates in Azure SQL, Cosmos DB, and Azure Load Testing. Additionally, the integration of agents with Microsoft services has been covered in this revised edition. After reading this book, you will understand the underlying concepts of SRE and its implementation using Azure public cloud. What You Will Learn: Learn SRE definitions and metrics like SLI/SLO/SLA, Error Budget, toil, MTTR, MTTF, and MTBF Understand Azure Well-Architected Framework (WAF) and Disaster Recovery scenarios on Azure Understand resiliency and how to design resilient solutions in Azure for different architecture types and services Master core DevOps concepts and the difference between SRE and tools like Azure DevOps and GitHub Utilize Azure observability tools like Azure Monitor, Application Insights, KQL or Grafana Who Is This Book For: IT operations administrators, engineers, security team members, as well as developers or DevOps engineers.

Mastering Machine Learning Architecture and Solutions is a comprehensive guide to designing and deploying end-to-end ML systems. Ideal for data scientists, machine learning engineers, and architects, this book bridges theoretical foundations with practical applications to help you navigate the complexities of modern ML development. The book begins with the exploration of ML architecture, it introduces the core concepts and lifecycle stages necessary for successful implementation. It delves into designing robust data pipelines, emphasizing data cleaning, feature engineering, and scaling techniques to support high-performance ML systems. It further discusses model selection and optimization, covering advanced techniques for hyperparameter tuning and managing imbalanced datasets. Readers are introduced to scalable architectural patterns that ensure adaptability and performance, including modular designs and microservices. Infrastructure considerations, such as leveraging cloud solutions and hardware accelerators, are also examined to optimize costs and resources. It also discusses deployment strategies with detailed guidance on containerization, orchestration, and automation. Post-deployment challenges are addressed through chapters on managing, updating, and monitoring live models. Additional topics include rigorous testing, debugging, and ensuring explainability and fairness in models, critical for building trustworthy systems. The book concludes with insights into future trends and ethical considerations shaping the ML landscape. In the end, this book provides professionals with the tools to build effective and sustainable ML systems, helping them solve modern AI challenges. What you will learn: Gain foundational knowledge of machine learning architecture, lifecycle, and implementation strategies. How to design robust data pipelines with feature engineering and scaling techniques for high-performance systems. Explore scalable ML system designs, including modular architectures, microservices, and cloud infrastructure optimization. Understand deployment, monitoring, and ethical considerations to build trustworthy, adaptable, and cost-efficient ML solutions Who this book is for: Data scientists, machine learning engineers, AI professionals, and technical professionals aiming to enhance their expertise in ML system architecture and deployment.

Explore the serverless world using Amazon Web Services (AWS) and develop various architectures, including those for event-driven and disaster recovery designs. This book will give you an understanding of different distributed serverless architectures and how to build them using AWS components. You will begin with an introduction to serverless components and architectures, before progressing to data platforms and containers. Next, you'll dig deeper into these serverless architectures and how they leverage AWS components through practical use cases. You will also explore designing systems in a multi-cloud paradigm. Author Jithin Jude Paul then demonstrates how efficient serverless architectures are, and the benefits of designing distributed systems globally in a cost-effective way while incorporating a microservices architectural style. Distributed Serverless Architectures with AWS concludes with a discussion of current and future trends in serverless frameworks. After completing this book, you'll be able to design distributed serverless architectures using AWS. You will: Gain an overview of different serverless architectures Design and build distributed systems using serverless components Build serverless data and container platforms on AWS Plan a multi-cloud strategy using serverless components.

Learn how to design, build, test, deploy, and monitor microservices using .NET 10. Microservices is a pattern of separating software into small, reusable components to solve specific problems. Each microservice can be independently built, deployed, and scaled. This pattern provides enterprise grade durability and scale to meet complex business goals and customer needs in enterprise systems. While the return is valuable and the concept straightforward, applying it to an enterprise development effort is far more complicated. Where do you start? How do you find the seams between the components? And once you have all the services, how do you deploy and scale them to meet the durability and performance needs of the organization? Pro Microservices in .NET 10 will introduce you to all that and more. The authors get you started with an overview of microservices and other development patterns, event storming, domain-driven design, and the options for developing in ASP.NET. You will use that foundational information to build a reference application throughout the book, exploring both synchronous messaging with HTTP, gRPC, and asynchronous messaging with a service bus. From there, you will create your first microservice using C# and .NET 10, test it using unit and integration tests, and package it into a Docker container. You’ll deploy the container to various Azure services including Kubernetes, Azure Container Apps, App Service, Azure Functions, and KEDA. You will also learn about communication styles, decentralizing data, and testing microservices. Finally, you will learn how to keep services healthy using OpenTelemetry for logging, Aspire for local development, and Azure Application Insights for production. What You Will Learn Build a foundation of basic microservices architecture design Follow an example of using event storming and domain-driven design to understand the monolithic application modified for microservices Learn about ASP.NET hosting options including MVC, Razor Pages, Web API, and Minimal APIs Call microservices using RPC and messaging communication styles via HTTP and gRPC Learn about asynchronous communication using an enterprise service bus Comprehend decentralizing data and handling distributed transactions Understand via detailed commands how Docker is used to containerize applications Learn to deploy microservices to Kubernetes, Azure Container Apps, App Services, and Azure Functions Leverage OpenTelemetry to make your microservices more robust Who This Book Is For This book is for professional developers and software architects looking to level up their skills. Readers should have basic familiarity with Visual Studio or VS Code and experience with .NET, ASP.NET Core, and C#. New to This Edition In this new and updated volume, the authors explore new features from .NET 10 and C# 14 that launched in November 2025, making it easier than ever to design, architect, build, test, and deploy microservices. These enhancements include testing patterns, Docker, Kubernetes, Azure deployment, YARP, and Aspire.

Crafting, testing, and maintaining events and synchronous APIs represent one of the most challenging tasks in modern software applications. This comprehensive guide delves deeply into the intricacies of managing asynchronous and synchronous APIs using a consistent design approach. The uniqueness of this book lies in its emphasis on collaborative API design between IT and business experts, facilitated by Domain-Driven Design (DDD). It provides clear guidance on selecting the appropriate communication strategy for different scenarios, ensuring that APIs meet the evolving needs of both developers and end-users. Readers will gain valuable insights into using popular definition languages such as OpenAPI and AsyncAPI. This book offers a case study that demonstrates how the described methodologies can be applied to modernize legacy systems, ensuring compatibility with development practices. By the end of this book readers, will be equipped to design APIs that are not only technically sound but also intuitive, reliable, and adaptable to the dynamic needs of modern applications. You Will: Learn how to choose the most appropriate communication strategy for different scenarios, considering factors such as scalability, reliability, and compatibility with modern development practices. Explore the practical application of popular definition languages like OpenAPI and AsyncAPI to create robust APIs Learn how to facilitate collaborative API design between IT and business experts using Domain-Driven Design (DDD), ensuring that APIs align with both technical requirements and business objectives. This book is for: Software architects, business analysts, developers and IT professionals

Any IT professional can tell you that managing security is a top priority and even more so when working in the cloud. Access to accurate and timely security information is critical, but governance and control must first be enabled. This guide shows you how to take advantage of Azure's vast and powerful built-in security tools and capabilities for your application workloads. Pro Azure Governance and Security offers a comprehensive look at the governance features available with Microsoft Azure and demonstrates how to integrate them with your hybrid and Azure environments, drawing on the author's experiences from years in the field. Learn about the array of controls implemented within Microsoft Azure from two valuable perspectives: the customer and Microsoft operations. Beginning with the top-level subscription hierarchy, learn about the most important built-in Azure security services and features, as well as how to use Azure Policies and Blueprints as a means for security and governance. A series of hands-on exercises teaches you the concepts of Azure Governance: how to enable and deploy Azure Security Center, integrate RBAC (role-based access control), and set up Azure Operations and Monitoring. Get introduced to the new Azure Sentinel solution that offers SIEM as a service for security incident management and proactive hunting. What You'll Learn Understand different architectural designs for implementing Azure Security Operate and monitor an Azure environment Deploy Azure Governance, Policies, and Blueprints Discover key Azure features that enhance security Implement and confidently access Azure Security Center Get to know Azure Sentinel Who This Book Is For Technical engineers, consultants, solution and cloud architects, IT managers, and SecOps teams who need to understand how to integrate governance, security, and compliance in hybrid and Azure environments. A basic understanding of Azure or other public cloud platforms is beneficial, but not required.

Learn to architect, implement, and scale robust distributed systems. This practical guide emphasizes real-world applications of domain-driven design, hexagonal architecture, and reactive systems, all within the context of the Go programming language and the NATS messaging system. The book begins with foundational concepts and gradually progresses to advanced architectural patterns. You will first explore synchronous and asynchronous communication mechanisms before learning to design and implement individual services that are resilient, scalable, and responsive. From there, the focus expands to broader system architecture. You will learn to create software aligned with real-world business processes using domain-driven design. Finally, you’ll explore hexagonal architecture and reactive systems to learn how to design modular, resilient systems capable of handling concurrency and asynchronous processing efficiently. Today, the adoption of distributed systems is accelerating, necessitating a nuanced understanding of distributed architecture principles. Through clear methodologies, architectural discussions, practical examples, and real-world scenarios, you will be ready to build distributed systems with confidence. What You Will Learn: Understand distributed systems basics, including communication protocols like req/rep, push/pull, and pub/sub. Grasp microservice internals such as service discovery, load balancing, and fault tolerance. Apply the concepts of domain-driven design, hexagonal architecture, and reactive systems practically. Build robust distributed systems using Go and NATS messaging system using real-world examples. Explore the architecture of interconnected components to design modular, maintainable systems. Understand handling high concurrency and adapt to evolving demands. Who This Book is for: Software developers seeking practical guidance on building scalable distributed systems with GO and NATS, regardless of their level of experience with the Go programming language. Also suitable for aspiring architects and system designers seeking to deepen their understanding of architectural patterns and implementation.

As the pace of evolution in technology continues to accelerate, the field of software architecture grapples with ever-increasing complexity, uncertainty, and risk. While numerous patterns and practices have emerged as potential approaches to solving the industry’s most challenging problems, these tools often struggle to consistently deliver on their promises and software projects fail to reach their potential with alarming frequency. This meticulously crafted guide presents a deep exploration into the intricacies of crafting systems that precisely and predictably address modern challenges. It goes beyond mere comprehension of architecture; it encourages mastery. Mastery of software architecture requires much more than just technical know-how. The author, drawing upon deep experience and unique perspectives, introduces a fresh, problem-centric approach to the realm of software architecture to address these myriad challenges. This book offers a uniquely holistic approach, weaving together architectural principles with organizational dynamics, environmental subtleties, and the necessary tools to execute on architecture more effectively. It addresses the broader contexts that are often overlooked. You’ll be introduced to the transformative Tailor-Made model which provides fast, design-time feedback on total architectural fit and offers more deterministic outcomes, without the typical (and costly) trial-and-error. The Tailor-Made model further enables a practical approach to designing evolutionary architectures. This book also offers a comprehensive Architect's toolbox with powerful strategies and problem-solving tools to design, communicate, and implement architectural decisions across the enterprise. Additionally, it imparts invaluable insights into the art of communication as an architect, seamlessly aligning visions with business goals and objectives. With its rich blend of theoretical depth, practical insights, and actionable tools, this book promises to redefine the landscape of software architecture. Whether you are an established architect or an aspiring one, Mastering Software Architecture is poised to enhance your expertise, enabling you to confront architectural challenges with unparalleled confidence and competence. What You will Learn Discover a comprehensive set of concepts, tools, models, and practices that enhance the fit and reduce uncertainty in software architecture. Quantify and measure the impact of architectural decisions, providing a clear and actionable approach to architecture. Effectively apply the model in diverse situations and environments, while overcoming the otherwise-limiting organizational realities. Communicate architecture effectively to both business and technical teams, build consensus, engender buy-in, and lead change across the organization. Who This Book Is For Aspiring architects looking to broaden their horizons, practicing architects seeking to continue to grow their skills, and software engineers looking to gain insights and move up the value chain in an increasingly competitive market. "Michael Carducci delivers an invaluable guide for aspiring and seasoned software architects alike. Mastering Software Architecture blends technical mastery with strategic insights, presented in a clear and engaging format. This book is destined to shape the future of the field."- Adam Tornhill, author of ‘Your code as a crime scene’ and founder of Code Scene "BRAVO! This is the book I wish I had when I started doing architecture migrations. This volume makes clear what architectural style best fits the needs of the organization, and how you can migrate from one style to another through the judicious selection of constraints. I've already put this book's teachings into practice and consider this my new go-to reference for upcoming architecture assessments and migrations."- Jerome Broekhuijsen “Whether you’re a seasoned architect or just starting out, this book will elevate your practice. It’s a must-read that will take any aspiring architect from zero to hero in a very short time.” – Kevin D’Ornellas "I'm convinced you'll be better prepared for having read this book"- Brian Sletten

This book explores how artificial intelligence (AI) is transforming the design and operation of microservices and API architecture. It provides a clear and practical guide to using AI to automate tasks, enhance performance, and improve the scalability of microservice-based systems. Starting with the basics, you will learn about the core concepts of microservices and API design, gradually building an understanding of how AI can be seamlessly integrated. Through real-world examples, visual diagrams, and mock APIs, the book shows you how to bring theory into practice, making complex systems easier to manage and more efficient. You will also discover strategies for testing and scaling systems, securing APIs, and addressing ethical challenges in AI-powered environments. Case studies highlight successful implementations, offering valuable insights you can apply to your own projects. Whether you're a developer, architect, or tech enthusiast, this book gives you the tools and inspiration to build smarter, more resilient systems while staying ahead of future trends in AI and distributed computing. What You'll Learn: Understand the basics of microservices and API design and see how AI can make these systems smarter and more efficient. Discover how to use AI in microservices and APIs to automate tasks, improve performance, and boost security. Learn how to design scalable and secure systems by following best practices and innovative approaches. Get practical tips on troubleshooting and solving challenges in AI-powered microservice architectures. Who is this book for: Software architects and engineers, AI and machine learning professionals, and DevOps engineers

This book is an exhaustive guide to designing and implementing data solutions on Azure. It covers the process of managing data from end to end, starting from data collection all the way through transformation, distribution, and consumption. Modern Data Architecture on Azure begins with an introduction to the fundaments of data management, followed by a demonstration of how to build relational and non-relational data solutions on Azure. Here, you will learn data processing for complex analysis and how to work with CSV and JSON files. Moving forward, you will learn the foundational concepts of big data architecture, along with data management patterns and technology options offered by Azure. From there, you'll be walked through the data architecture process, including data consortium on Azure, enterprise data governance, and much more. The book culminates with a deep dive into data architecture frameworks with data modeling. After reading this book, you will have a thorough understanding of data design and analytics using Azure, allowing you to collect and analyze massive amounts of data to optimize business performance, forecast future results, and more. You will: Understand the fundamentals of data architecture including data management, data handling ethics, data governance, and metadata management Analyze and understand business needs to choose the right Azure services and make informed business decisions Understand Azure Cloud Data design patterns for relational and non-relational data, batch real-time processing, and ETL/ELT pipelines Modernize data architecture using Azure to leverage data and AI to enable digital transformation by securing and optimizing overall data lifecycle management.

Enterprise architecture is a set of business practices that connect an organization’s strategy with its management of change. It is concerned with the structure and story of the enterprise, and ensuring that everything across the whole enterprise will work together in the most effective way. Yet when doing enterprise architecture, what should we do, in what sequence, and for what business purpose? What skills and leadership do we need? What results should we expect? And how can we prove the business value of what we do? This book sets out to answer those questions and show how, with the right architecture support, every change in the organization can be a change for the better. The book explains that to achieve this, we will need a literal ‘architecture of the enterprise’ that can start anywhere and can address every aspect of the enterprise, including people, machines, IT and more. We will need architecture development methods that can work consistently and in the same way everywhere, for every type of content or context, at every scope and scale, with every timescale, and throughout every stage of the change process. We will need those methods to support not just planned change, but provide continuity over longer periods, These methods must also respond fast to unexpected opportunities, risks and large-scale challenges arising within the organization and its market, and from the real-world beyond the enterprise itself. The book describes how to satisfy all of those needs, using a formal dependency-driven maturity-model to guide systematic step-by-step development of the organization’s capabilities for enterprise architecture. The sequence of steps ensures that, at each stage of development, the architecture can be relied upon to achieve desired, effective business outcomes. You Will : Learn how to extend your architecture beyond IT to the whole enterprise. Learn how to use a service-based approach to enhance consistency across the whole architecture. Learn how to enhance efficiency, effectiveness, responsiveness and resilience throughout the enterprise. This book is for : Enterprise Architects.

Examine a new approach to Enterprise Architecture (EA) that challenges conventional practices and supports a transformative shift to address the demands of a rapidly evolving technological landscape. This book offers alternatives to traditional EA methods that often divide the enterprise into isolated business, application, data, and technology architectures, often resulting in disjointed operations and missed opportunities for innovation. By proposing an innovative, purpose-driven architectural style, this book emphasizes the need for a cohesive and adaptive framework that aligns all components of an enterprise with its strategic goals. Key concepts explored include the integration of social and technical elements in building large sociotechnical systems, the introduction of Unit Oriented Enterprise Architecture (UOEA) for modular and adaptable enterprise design, and the importance of Purpose Driven Design (PDD) in ensuring operational efficiency and strategic alignment. You’ll also gain insights into organizing software engineering in the cloud era, streamlining enterprise interactions, and embracing creative destruction to foster technological harmony. Unit Oriented Enterprise Architecture is your essential resource for system architects, organizational leaders, IT professionals, and students seeking to revolutionize their approach to enterprise architecture and position their organizations for success in the digital age. What You Will Learn Critically assess and dismantle outdated EA concepts to create a more adaptive and cohesive architectural framework. Explore how UOEA can enhance agility and adaptability, allowing your organization to respond more effectively to change. Organize and manage software development within cloud infrastructures, ensuring clarity, scalability, and alignment with your architectural framework. Who This Book Is For Primary Audience: Enterprise architects, organizational leaders, IT professionals; Secondary Audience: Consultants, advisors, and policymakers; Tertiary Audience: Students in system design and organizational studies, academic researchers