Developer platforms promise to rewrite the laws of IT physics: they boost innovation through standards; they speed up development while assuring compliance; and they reduce cognitive load without restricting choice. Building such an in-house platform, or even deploying one, is far from easy, though. This book condenses a decade of building and rolling out platforms into practical advice for platform teams and users.5300+ happy readers! Also as Paperback edition
Most teams don’t suffer from a lack of effort—they suffer from a lack of alignment. Goals are misaligned, boundaries are unclear, and work often centres on internal priorities instead of user needs— resulting in frustration and delays. User Needs Mapping: Aligning Teams Around What Matters offers a practical, visual way to reconnect organisations with the people they serve. Instead of guessing at structure or copying someone else’s model, this book shows you how to expose hidden dependencies, identify genuine user needs, and make better choices about team design and responsibilities. Through real-world case studies and step-by-step guidance, you’ll learn how to navigate tensions between wants, needs, and feasibility, create clarity of purpose, and build teams that deliver meaningful outcomes. Whether you’re a leader, product manager, architect, or change agent, this book equips you to turn complexity into clarity and enable teams to flow faster—aligned around what matters.
As the digital economy changes the rules of the game for enterprises, the role of architects also changes. Rather than focus on software architecture alone, they must connect the penthouse, where the business strategy is set, and the engine room, where the enabling technology is implemented. Learn how to ride this Architect Elevator!
Digitale Transformation war das Hype-Thema vor KI. Es gibt allerdings einen nicht geringen Anteil an Fach- und Führungskräften, deren Wissen darüber weiter ausbaufähig ist. Dieses Buch ist eine Einführung für alle diejenigen, die keine "digitalen Pioniere" sind, sondern wissen wollen, was aus dem Thema Digitalisierung auf sie zukommen kann und aus dem Thema KI zusätzlich auf sie zukommen wird.
Lean Enterprise Architecture (LEA) redefines EA as a lean, value-driven discipline that bridges strategy, business, and technology. Instead of static blueprints, it shows you how to build adaptive architectures, enable transformation, and create measurable impact. Whether you are an enterprise architect, IT strategist, or business leader, LEA equips you to lead with clarity and influence.
This book provides a simple, proven approach to drawing clear, memorable technical diagrams. The focus is on whiteboard sketches, but the principles apply to chalkboards, notebooks, and even digital tools. The techniques work for a wide range of technical disciplines including software architecture, business process modelling, and robotics.
Professionals require tools to perform their jobs effectively. Product designers, Salespeople, Managers, and Software Developers all have tools. What about Software Architects?
Data Mesh is a sociotechnical approach that enables development teams to autonomously carry out data analysis. In this primer, we explain Data Mesh from the engineering perspective.
In diesem Primer erklären wir Data Mesh aus der Engineering-Perspektive.
Java is entering a new era of faster releases, modern JVMs and evolving enterprise demands. This practical guide helps architects, platform engineers and senior developers navigate LTS upgrades, modernization, migration, performance, security and cloud deployment with clear strategies and production-ready guidance.
Master Spring Boot from the ground up and learn what it takes to build software that is ready for the real world. From Java fundamentals to secure microservices, testing and production deployment, this practical guide turns modern Spring Boot concepts into skills you can confidently put to work.
You know how to build classes in Protégé. But do you know when to attach meaning — and when to wait?Volume 4 of "Mastering Ontology Engineering" introduces SKDL: the Semantic Knowledge Development Lifecycle. Seven stages. One discipline. Zero guesswork.From Aristotle to Description Logic. From taxonomy to executable knowledge.This is where pizza -> philosophy — and philosophy -> engineering.
Building an impressive AI agent demo is easy. Running one in production—reliably, at scale, with governance—is where most enterprises get stuck. Agentic Orchestration shows how BPMN-based process orchestration governs AI agents at scale, drawing on real deployments across banking, telecom, and healthcare. Reasoning without orchestration is expensive chaos. This book shows the way out.
Turn a static class hierarchy into a real semantic graph: object properties, inverse properties, property characteristics, and domain and range, all hands-on in Protege.
Master Ontology Engineering with Protégé and the EKA Framework—Volume 1 of a multi-volume series that teaches ontology engineering hands-on through the Pizza.owl tutorial and connects it to a modern framework for building executable semantic systems.