Ansible is a simple, but powerful, server and configuration management tool. Learn to use Ansible effectively, whether you manage one server—or thousands.
#1 Best Seller in Management Science (Amazon International, France, Germany, Netherlands, Poland, Sweden – Feb 2026) and in other categories. Available worldwide on Amazon (Hardcover, Paperback, Kindle) and across all major digital platforms, including Leanpub, Apple Books, and Google Play. Learn how to drive your organizational performance with people and AI to 10X and beyond — in impact and relevance.
This practical handbook provides a step-by-step guide for you to get the best continuous delivery pipeline for your software.
A practical handbook packed with real-world advice to help you write better code, adopt effective developer habits, and build great software.
The deepest tutorial and explanation about EventStorming, straight from the inventor.
What You'll LearnWhy burnup charts create false certainty, and what they get wrongHow to run Monte Carlo simulation properly, including where "just use Monte Carlo" breaks down with feature WIP and dependenciesHow to forecast across a single team, multiple features, and multi-team initiatives with dependenciesReal examples and free, ready-to-use tools, rather than just theory
Your use cases have a new reader: an AI agent that turns them directly into code and tests. Implementation is now cheap but expressing intent precisely is the bottleneck. This guide teaches you to write use cases that work for stakeholders, engineers, and the AI agents that implement from them.
Actionable Agile Metrics for Predictability is a comprehensive guide on how to use flow metrics and analytics to get the predictability your customers crave.
What You’ll LearnHow to measure impact and effectiveness of working differentlyThe mistakes you can make around agility and how to avoid themMeasuring team agility at scale, agnostic of any chosen frameworkReal case studies and examples from practical application in large organisations, rather than just theory
Ihre Use Cases haben einen neuen Leser: einen KI-Agenten, der sie direkt in Code und Tests umwandelt. Die Implementierung ist mittlerweile kostengünstig, doch die präzise Formulierung der Absicht stellt den Engpass dar. Dieser Leitfaden vermittelt Ihnen, wie Sie Use Cases verfassen, die sowohl für Stakeholder und Ingenieure als auch für die KI-Agenten, die sie umsetzen, funktionieren.
Most enterprises can deliver fast, but few can adapt at scale.The Cybernetic Enterprise introduces a unifying operating model that embeds AI, feedback loops, and platform thinking into the DNA of your organization. Learn how to build a system that senses change, learns continuously, and transforms disruption into strategic advantage.
This brief and engaging book can be of use to anyone who has to interact with other people. How to offer feedback when asked or hired to do so. Why feedback tells more about the giver than the receiver. How feedback is distorted or resisted by the receiver's point of view and defense mechanisms. And in dozens of enjoyable vignettes, how humans have struggled to understand each others' responses.
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.
A modern strategy for systematically optimizing software productivity with a data-driven feedback loop. By measuring the pain or “friction” in developer experience, we can identify the biggest problems, understand the causes, and run experiments to systematically learn what works. It's data-driven software mastery.
講演、ワークショップ、実践事例を発表する「カンファレンスプロポーザル」を書いてみましょう。