The Cybernetic Enterprise Course
$89.00
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$179.00
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Course Info

This course includes 5 attempts.

The Cybernetic Enterprise: How to Build a Future-Ready Organization is your comprehensive operating system for navigating the next era of business transformation. If your company has adopted Agile and DevOps but still struggles to adapt at scale, fast teams, slow enterprise, this course is for you.

This is not another Agile, DevOps, or AI playbook in isolation. Instead, it introduces a unified cybernetic operating model, one designed for continuous learning, AI-augmented intelligence, and fast feedback loops across strategy, product, technology, and operations. You'll learn to sense, learn, and adapt at enterprise scale.

The course includes nearly three hours of exclusive videos with the author discussing topics relevant to every lesson in the course.

The course offers a layered framework, principles, practices, platform, outcomes, that guides you in building an enterprise designed for change, not just coping with it. Whether you are a CTO, CIO, enterprise architect, transformation coach, or team leader, this course offers the models and tools to break silos, align execution with strategy, and embed AI responsibly.

With forewords by Prof. Dr. Oliver Gilbert and Prof. Markus Dobbelfeld, this course bridges academic insight and industry experience, linking vision with execution across leadership, technology, and organizational design.

Why It’s Different

Most transformation efforts bolt new tools onto outdated structures. The Cybernetic Enterprise rebuilds the structure itself. It helps you design a feedback-driven, AI-augmented organization where learning compounds and change becomes a competitive advantage.

Who It’s For

  • Executives aligning strategy, investment, and outcomes
  • Architects and engineers scaling AI responsibly through platform thinking
  • Product managers, designers, coaches, and change agents seeking coherence across initiatives

What You’ll Be Able to Do

  • Build feedback loops into every layer of your organization
  • Align investment with outcome-based metrics
  • Accelerate AI adoption through platform engineering
  • Design autonomous, durable product teams
  • Create lightweight, principled governance that fosters experimentation
  • Assess and steer transformation efforts with structured diagnostics

Bonus Material

The course also includes a free coupon for The Cybernetic Enterprise Complete Edition, a bundle that includes the following four books:

  1. The Cybernetic Enterprise (the book which this course is based on)
  2. The Cybernetic Enterprise CTO Playbook
  3. The Cybernetic Enterprise Assessment
  4. Foundations of The Cybernetic Enterprise

The Cybernetic Enterprise

The Cybernetic Enterprise introduces a unified operating model that embeds AI, continuous feedback loops, and platform thinking into the core of your organization. Learn how to build an enterprise that senses change, learns continuously, and turns disruption into strategic advantage—at scale and by design.

The Cybernetic Enterprise CTO Playbook

The Cybernetic Enterprise CTO Playbook translates vision into execution for modern technology leaders. It provides actionable plays, assessments, and transformation roadmaps that help CTOs build adaptive, AI-augmented, feedback-driven organizations. Align people, process, technology, and data into one living system that senses, decides, and evolves faster than the world around it.

The Cybernetic Enterprise Assessment

The Cybernetic Enterprise Assessment turns transformation theory into clear, actionable insight. Built on the foundations of The Cybernetic Enterprise, it evaluates how future-ready your organization is across people, process, technology, and data. Identify strengths, expose gaps, and get a concrete path toward becoming an adaptive, AI-powered, continuously learning enterprise.

Foundations of The Cybernetic Enterprise

Foundations of The Cybernetic Enterprise is the essential reference companion to The Cybernetic Enterprise: a precise Body of Knowledge that distills the foundations of modern, AI-enabled organizations. Access crisp definitions, origins, interfaces, and canonical sources spanning Cybernetics, Systems Thinking, Lean, Agile, Architecture, Platform Engineering, AI & CPS, and DevOps—so your teams share one vocabulary, one understanding, and make better decisions faster.

Build the enterprise you want to work in. Shape the system you want to lead. Become the organization the future demands. Your cybernetic journey starts now.

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Course Material

  • The Cybernetic Imperative
  • Free Coupon for The Cybernetic Enterprise Complete Edition
  • 1: Who This Course Is For
  • Why This Course Was Written
  • What Is a Cybernetic Enterprise
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    Exercise 1
  • How This Course Helps
  • Where the Ideas Come From
  • Reader’s Guide
  • Reading Strategies
  • Phase-Based Navigation
  • Applying the Insights
  • How the Course Is Structured
  • Using the Models & Examples
  • Making It Yours
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    Quiz 13 attempts allowed
  • 2: The Cybernetic Imperative
  • The Case for Change
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    Exercise 2
  • The Cybernetic Response
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    Exercise 3
  • Definition and Differentiation
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    Exercise 4
  • Why You Should Care
  • What Can’t the Cybernetic Enterprise Do
  • Conceptual Limitations
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    Exercise 5
  • Technological Boundaries
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    Exercise 6
  • Organizational Challenges
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    Exercise 7
  • Closing
  • Preview of What’s Next
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    Quiz 23 attempts allowed
  • The Cybernetic Operating Model
  • The Cybernetic Operating Model
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    Exercise 8
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    Quiz 33 attempts allowed
  • 3: Beyond Products and Services
  • Defining the Core Concepts
  • What is a Product?
  • What is a Service?
  • What is Value?
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    Exercise 9
  • The Spectrum of Companies
  • Product Companies
  • Service Companies
  • Hybrid Models
  • Platform Companies
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    Exercise 10
  • Shifting the Focus to Value
  • A Note on Terminology
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    Quiz 43 attempts allowed
  • 4: The Cybernetic Enterprise
  • The Layered Mental Model of the Cybernetic Enterprise
  • Purpose: The Core Reason for Existence
  • Vision: The North Star
  • Mission: The Strategic Path
  • Values: The Cultural Foundation
  • Principles: Bridging Values and Actions
  • Capabilities: The Organizational Potential
  • Practices: Repeatable Methods
  • Processes: Structured Workflows
  • Tools: Enabling Resources
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    Exercise 11
  • Relationships Between Layers
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    Exercise 12
  • The Power of Alignment
  • Starting Point for the Cybernetic Enterprise
  • Definition
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    Exercise 13
  • The Core Conceptual Model
  • 1. Organization: From Control to Capability
  • 2. Technology: From Tools to Platform Thinking
  • 3. Process: From Projects to Product Thinking
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    Exercise 14
  • Principles
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    Exercise 15
  • Practices
  • The Foundation
  • Key Capabilities of the Cybernetic Platform
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    Exercise 16
  • Why the Cybernetic Enterprise Matters
  • 10 Rules for Leading a Cybernetic Enterprise
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    Exercise 17
  • Conclusion
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    Quiz 53 attempts allowed
  • 5: Principles I
  • Introduction
  • Principles Over Process
  • Introduction
  • The Danger of Process Overreach
  • Balancing People and Process
  • The Role of Continuous Process Improvement
  • Principles as the North Star
  • Conclusion
  • Key Takeaways
  • How to get started
  • How to Assess
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    Exercise 18
  • Organize for the Flow of Value
  • The Power of Organizing Around Value
  • Introduction
  • Understanding the Flow of Value
  • Selecting the Right Organizational Structure
  • Incremental Transformation Toward Value
  • Beyond Structure: Addressing Dependencies
  • Lessons from Digital Natives
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 19
  • Empowered Teams
  • Empowered
  • Introduction
  • The Power of Cross-Functional Teams
  • The Role of Product Managers
  • Actionable Insights for Leaders
  • The Payoff of Empowered Teams
  • Sense of Ownership
  • The Scope of Ownership
  • Unified Responsibilities: Discovery and Delivery
  • Ownership Across the Spectrum of Work
  • Benefits of a Strong Sense of Ownership
  • Implementing the Sense of Ownership
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Collaboration
  • Introduction
  • Redefining Collaboration
  • The Elements of True Collaboration
  • Collaboration in Practice
  • The Magic of Collaboration
  • Conclusion
  • Trust Over Control
  • A New Foundation for Leadership
  • Empowering Teams Through Problem-Solving
  • Leading With Context
  • The Challenges of Letting Go
  • Practical Steps to Build Trust
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • High-Integrity Commitments
  • Introduction
  • Ownership of Commitments: The Critical Principle
  • Empowering the Right People
  • The Role of Leadership
  • Why It Matters
  • Actionable Steps for Leaders
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 20
  • Outcomes Over Output
  • Introduction
  • The Core Idea
  • Output vs Outcome vs Impact
  • Defining the Terms
  • Output
  • Outcome
  • Impact
  • How Outputs Generate Outcomes That Drive Impact
  • Misalignment and Its Risks
  • Achieving the Right Focus: Customer-Centricity
  • Real-World Application
  • The Role of Leadership
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 21
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    Quiz 63 attempts allowed
  • 6: Principles II
  • Focus
  • Introduction
  • The Challenge of Focus
  • The Role of Leadership in Focus
  • The Power of Saying No
  • The Product Vision: A Compass for Focus
  • The Cybernetic Enterprise’s Focus Framework
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 22
  • Minimize Waste
  • Introduction
  • The High Cost of Waste in Product Development
  • The Evolution of Product Discovery
  • Strategies to Minimize Waste in a Cybernetic Enterprise
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 23
  • Powered by Insights
  • Insights
  • Introduction
  • Leverage Data for Continuous Improvement
  • The Shift from Traditional Metrics to Objective Evidence
  • Measuring Progress with Real-Time Observability
  • Enabling Data-Driven Decision-Making in Digital Factories
  • 1. Create a Real-Time Feedback Loop
  • 2. Utilize Leading Indicators Over Lagging Metrics
  • 3. Visualize Data to Improve Decision-Making
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Insight-Driven Leadership
  • Introduction
  • Sources of Insights
  • 1. Analyzing the Data
  • 2. Talking to Customers
  • 3. New Enabling Technologies
  • 4. The Broader Industry
  • Cultivating an Insight-Driven Culture
  • The Power of Insights in Action
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Transparency
  • Introduction
  • The Shift to Centralized Decision-Making
  • The Risk of Misalignment
  • Transparency as a Bridge
  • Key Elements of Transparency
  • Building Buy-In Across the Organization
  • Execution Through Alignment
  • Developing Product Sense Through Transparency
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 24
  • Strategic Experimentation
  • Introduction
  • Placing Bets
  • Embracing Uncertainty
  • The Portfolio Mindset
  • The Multiple Bets Approach
  • Managing Risks and Expectations
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Embrace Rapid Experimentation
  • Introduction
  • The Necessity of Honest Self-Reflection
  • Building a Culture of Experimentation
  • Managing Disagreements Through Data
  • Instrumentation: The Backbone of Feedback Loops
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Test Ideas Responsibly
  • Introduction
  • Differences Between Startups and Enterprises
  • The Need for Responsible Experimentation
  • Techniques for Conservative Testing
  • A Culture of Responsible Experimentation
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Learning Over Failure
  • Introduction
  • Reframing Failure
  • Cultivating a Learning Culture
  • Leading by Example
  • Real-Life Impact: A Case Study
  • Why It Matters
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 25
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    Quiz 73 attempts allowed
  • 7: Principles III
  • Assess Product Risk
  • Introduction
  • Types of Product Risks
  • Value Risk
  • Usability Risk
  • Viability Risk
  • Feasibility Risk
  • Addressing Risks Proactively
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 26
  • Apply Multiple Horizons of Planning
  • Introduction
  • From Predictive to Empirical Planning
  • Multiple Horizons of Planning
  • Empirical Decision-Making: A Continuous Loop
  • The Role of Minimum Viable Products (MVPs)
  • Innovation over Predictability
  • From Projects to Products
  • Innovation Through Product Teams
  • Balancing Predictability and Innovation
  • The Path Forward
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Architect for Change and Speed
  • Introduction
  • Architecting for Change
  • Key Attributes of Change-Ready Architectures:
  • Architecting for Speed
  • Key Elements of High-Speed Architectures:
  • Architectural Considerations
  • 1. Scalability
  • 2. Usability and Maintainability
  • 3. Security by Design
  • 4. Observability and Resilience
  • 5. Automation and Deployment Agility
  • Future-Proofing Architecture
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 27
  • Iterative Development
  • Introduction
  • Accelerating Learning Through Short Cycles
  • Integration Points as Control Mechanisms
  • Reducing Risk Through Continuous Integration
  • Designing for Cadence-Based Integration
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Cadence and Synchronization
  • Introduction
  • Cadence
  • Synchronization
  • Combining Cadence and Synchronization
  • Examples of Cadence and Synchronization in Action
  • Finding the Right Cadence for Your Organization
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 28
  • Shift Left
  • Introduction
  • The Importance of Shift Left
  • What is Shift Left?
  • Implementing Shift Left in the Cybernetic Enterprise
  • 1. Test-First Development
  • 2. Continuous Security Testing
  • 3. Automated and Continuous Testing
  • 4. Model-Based Testing
  • 5. Digital Twin-Based Testing
  • 6. Risk-Based Testing
  • Overcoming Challenges in Shift Left
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Apply a Growth Mindset
  • Introduction
  • The Essence of a Growth Mindset
  • Learning Organizations and Innovation
  • Growth Mindset in Action
  • 1. Reframing Failure as Learning
  • 2. Psychological Safety and a Culture of Experimentation
  • 3. Investing in Learning and Talent Development
  • 4. Aligning Incentives with Learning and Improvement
  • 5. Leaders as Role Models of Growth Mindset
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 29
  • Augment with Intelligence
  • Introduction
  • From Automation to Augmentation
  • Intelligence as Infrastructure
  • Design for Human Agency
  • Organizational Implications
  • From Intelligence to Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 30
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    Quiz 83 attempts allowed
  • 8: Practices
  • Introduction
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    Exercise 31
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    Quiz 93 attempts allowed
  • 9: Continuous Delivery
  • Continuous Integration
  • Introduction
  • Defining Continuous Integration
  • Key Components of CI
  • Core Practices of Continuous Integration
  • Benefits of Continuous Integration
  • Implementing CI in the Cybernetic Enterprise
  • Example: Continuous Integration Pipeline (GitHub Actions, Python)
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 32
  • Continuous Delivery
  • Transition from CI
  • What is Continuous Delivery?
  • Deployment Pipeline
  • Principles of Continuous Delivery
  • Benefits of Continuous Delivery
  • Challenges in Adopting Continuous Delivery
  • Example: Continuous Delivery Pipeline (GitHub Actions, Python)
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Continuous Deployment
  • Transition from Continuous Delivery
  • Understanding Continuous Deployment
  • Key Characteristics
  • Benefits of Continuous Deployment
  • Prerequisites for Continuous Deployment
  • Overcoming Challenges
  • Continuous Deployment in Action
  • Continuous Deployment vs. Continuous Delivery
  • Example: Continuous Deployment Pipeline (GitHub Actions, Python)
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 33
  • The CI/CD Pipeline
  • Transition from Deployment
  • What Is a CI/CD Pipeline?
  • Key Stages of a CI/CD Pipeline
  • Choosing the Right CI/CD Platform
  • Tools: Popular CI/CD Platforms
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • AI-Augmented CI/CD
  • Iintroduuction
  • Key Use Cases for AI in CI/CD
  • Tools and Platforms
  • The Cybernetic Advantage
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    Exercise 34
  • Conclusion
  • Key Takeaways
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    Exercise 35
  • How to Get Started
  • How to Assess
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    Exercise 36
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    Quiz 103 attempts allowed
  • 10: Shift Left on Security and Testing
  • Shift Left on Security
  • Introduction
  • 1. Secure Development & Threat Prevention
  • Security Awareness & Developer Training
  • Threat Modeling
  • Secure Coding Practices
  • Static Application Security Testing (SAST)
  • GitLab SAST Example
  • Secrets Detection
  • GitLab Secrets Detection Example
  • Secrets Management
  • 2. Dependency & Infrastructure Security
  • Software Composition Analysis & Dependency Management
  • GitLab SCA Example
  • License Compliance
  • GitLab License Compliance Example
  • Infrastructure as Code (IaC) Security Scanning
  • GitLab IaC Security Scanning Example
  • Policy as Code
  • 3. Container & Application Security
  • Container Security Scanning
  • GitLab Container Security Scanning Example
  • Dynamic Application Security Testing (DAST)
  • Runtime Application Security (RASP)
  • Penetration Testing
  • 4. Continuous Security & Compliance
  • Automated Security Gates & Scheduled Pipelines
  • Compliance as Code
  • Continuous Security Monitoring (SIEM)
  • AI in Shift Left Security
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 37
  • Shift Left on Testing
  • Introduction
  • Agile Testing
  • The Agile Testing Matrix
  • Structure of the Agile Testing Matrix
  • The Four Quadrants of Agile Testing
  • Q1: Unit and Component Tests (Technology-Facing, Guides Development)
  • Q2: Functional and Acceptance Tests (Business-Facing, Guides Development)
  • Q3: Exploratory and System-Level Acceptance Tests (Business-Facing, Critiques the Solution)
  • Q4: Nonfunctional and Performance Tests (Technology-Facing, Critiques the Solution)
  • Implementing the Agile Testing Matrix
  • Unit/Component Testing
  • Description
  • Example
  • Tools
  • Integration/API Testing
  • Description
  • Example
  • Tools
  • System Testing
  • Description
  • Example
  • Tools
  • System Integration Testing
  • Description
  • Example
  • Tools
  • End-to-End (E2E) Testing
  • Description
  • Example
  • Tools
  • Exploratory Testing
  • Description
  • Example
  • Tools
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Behaviour-Driven Development (BDD)
  • Introduction
  • Challenges in Traditional Development
  • The BDD Approach
  • BDD in Practice
  • Benefits of BDD in the Cybernetic Enterprise
  • Implementation Guidelines
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Test-driven Development
  • Introduction
  • Example: Controlling a Drone’s Position with TDD
  • Step 1: Write a Failing Test (Red)
  • Step 2: Implement Minimal Code to Pass (Green)
  • Step 3: Expand Functionality & Add More Tests
  • Step 4: Implement Functionality to Pass the Tests
  • Step 5: Refactor
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Test Automation
  • Introduction
  • Benefits of Test Automation
  • Types of Automated Tests
  • Best Practices for Test Automation
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Test Data Management
  • Introduction
  • The Challenges of Test Data Management
  • Best Practices for Effective Test Data Management
  • Shift Left on Test Data Management
  • Use Production-Like Data with Synthetic and Masked Data
  • Automate Test Data Provisioning & Management
  • Ensure Compliance & Security in Test Data
  • Integrate Test Data Management into CI/CD Pipelines
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Production Testing
  • Introduction
  • The Need for Production Testing
  • Techniques for Safe Production Testing
  • Canary Releases
  • Feature Flags / Feature Toggles
  • Chaos Engineering
  • Synthetic Monitoring
  • Blue-Green Deployments
  • Observability and Real-Time Monitoring
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Pair Work
  • Introduction
  • The Efficiency of Pair Work: Research Findings
  • Benefits of Pair Work
  • Types of Pair Work
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Gated Commit
  • Introduction
  • What is Gated Commit?
  • Benefits of Gated Commit
  • Implementing Gated Commit
  • 1. Define and Automate Quality Gates
  • 2. Enforce Peer Reviews with Merge Requests
  • Example
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Congruence Between Test and Production Environments
  • Introduction
  • Key Challenges in Maintaining Environmental Congruence
  • Best Practices for Achieving Environmental Congruence
  • 1. Use Infrastructure as Code (IaC) to Standardize Environments
  • 2. Implement Configuration Management
  • 3. Maintain Production-Equivalent Test Data
  • 4. Virtualize External Dependencies
  • 5. Scale Load Testing to Production Levels
  • 6. Ensure Security Parity Across Environments
  • 7. Monitor and Validate Environmental Consistency
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Service Virtualization
  • Introduction
  • Why Service Virtualization?
  • How Service Virtualization Works
  • Key capabilities of service virtualization:
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • AI-Augmented Testing
  • Introduction
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 38
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    Quiz 113 attempts allowed
  • 11: Shift Left on Operations
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    Exercise 39
  • Introduction
  • Engineering for Observability and Insights
  • How to Assess
  • Logging
  • Introduction
  • Types of Logs
  • Structured vs. Unstructured Logging
  • Example: Drone Log Message
  • Centralized Logging in Distributed Systems
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Metrics
  • Introduction
  • Purpose of Metrics
  • Types of Metrics
  • Service Level Indicators (SLIs): Connecting Metrics to Objectives
  • Example: Drone Metrics
  • Metrics in Modern Distributed Systems
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Tracing
  • Introduction
  • What is Tracing?
  • Example of Distributed Tracing
  • Tools for Tracing
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Instrumentation
  • Introduction
  • Approaches to Instrumentation
  • Key Components of Instrumentation
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Monitoring
  • Introduction
  • Types of Monitoring
  • Real-Time Alerts and Incident Response
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to get started
  • How to Assess
  • Observability
  • Introduction
  • The Three Pillars of Observability
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to get started
  • How to Assess
  • Infrastructure as Code (IaC)
  • Introduction
  • Principles of Infrastructure as Code
  • Immutable Infrastructure
  • Simple IaC Example
  • Key Benefits of IaC
  • Common IaC Tools and Approaches
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Environment Management
  • Introduction
  • Key Principles of Modern Environment Management
  • Dynamic and Ephemeral Environments
  • Multi-Tenancy and Isolation
  • Observability and Monitoring Across Environments
  • Automated Environment Governance
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
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    Exercise 40
  • Intelligent & Proactive Operations
  • Proactive Detection
  • Introduction
  • Key Techniques for Proactive Detection
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • AIOps
  • Introduction
  • The Five Core Capabilities of AIOps
  • Examples
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Cross-Team Collaboration
  • Introduction
  • Core Principles of Cross-Team Collaboration
  • Best Practices
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Site Reliability Engineering (SRE)
  • Introduction
  • The Role of an SRE Team
  • Core Principles of SRE
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 41
  • AI in Shift-Left Operations
  • Introduction
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 42
  • icon/quiz Created with Sketch.
    Quiz 123 attempts allowed
  • 12: Technical Practices III
  • Separate Deploy and Release
  • Introduction
  • Understanding Deployment vs. Release
  • Benefits of Separating Deployment and Release
  • Key Practices for Effective Separation
  • Feature Toggles
  • Example: Implementing a Feature Toggle in Python
  • Dark Launches
  • Example: Dark Launch in Practice
  • Canary Releases
  • Decoupled Release Elements
  • Automated Release Policies
  • Implementing Separation with Enabler Epics and Stories
  • AI-Augmented Deployment and Release
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 43
  • Cloud
  • Introduction
  • Cloud Computing vs. Traditional Infrastructure
  • New Pressures: Geopolitics, Sovereignty, and Trust
  • Key Cloud Service Models: IaaS, PaaS, SaaS, and Serverless
  • Cloud Deployment Options: Public, Private, Hybrid, and Multicloud
  • Cloud as an Enabler of DevOps and Continuous Delivery
  • Cloud-Native Application Development
  • Governance, Cost Control, and Security
  • Strategic Considerations for Hybrid and Multicloud
  • Conclusion
  • Key Takeaways
  • How to get started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 44
  • Platform
  • Introduction
  • Why Platforms Matter
  • From DevOps to Platform Engineering
  • Codifying Engineering Practices through the Platform
  • Architecting the Platform: Floating, Not Abstracting
  • Layers of the Platform
  • Platform as Product: Mindset and Metrics
  • Real-World Example: The Platform Plane
  • AI in Platform Engineering
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • The Strategic Role of the Platform
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 45
  • Data
  • Introduction
  • Understanding Data: Types and Characteristics
  • Data as a Strategic Asset
  • The Data Lifecycle and DataOps
  • Fueling AI and Intelligent Automation with Data
  • Feedback Loops, Learning, and Data-Driven Control
  • Democratizing Data: Metadata, APIs, and Access
  • Data Sovereignty, Safety, and Portability
  • Conclusion
  • Key Takeaways
  • How to get started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 46
  • APIs
  • Introduction
  • Decoupling Systems to Accelerate Innovation
  • Types of APIs: Open, Partner, Internal, and Composite
  • API Architectural Styles: REST, GraphQL, gRPC, and Beyond
  • Enabling Autonomous Teams and Fast Feedback Loops with APIs
  • API Governance and Lifecycle Management
  • Best Practices for Cybernetic API Design
  • Conclusion
  • Key Takeaways
  • How to get started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 47
  • icon/quiz Created with Sketch.
    Quiz 133 attempts allowed
  • 13: Process Practices I
  • Lightweight Change Management Process
  • Introduction
  • A Pragmatic Approach to Change Management
  • Addressing Regulatory and Compliance Concerns
  • Moving Beyond Risk Management Theater
  • Leveraging AI in Change Management
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 48
  • Continuous Improvement
  • Introduction
  • The Essence of Continuous Improvement
  • Key Methodologies and Frameworks
  • Kaizen
  • PDCA and PDSA Cycles
  • Lean and Six Sigma
  • Implementing Continuous Improvement
  • The Role of Continuous Improvement in Cybernetic Transformation
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Lean Management Practices
  • Introduction
  • Core Lean Management Practices
  • 1. Limiting Work in Progress (WIP)
  • 2. Visual Management for Transparency and Collaboration
  • 3. Feedback Loops from Production
  • The Synergy of Lean Practices
  • Artificial Intelligence in Lean Management
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 49
  • Small, Frequent, Uncoupled Releases
  • Introduction
  • Why Small, Frequent Releases Matter
  • The Role of Testing in Small Releases
  • The Danger of Big-Bang Releases
  • Addressing Customer Concerns
  • The Benefits of Small, Frequent, Uncoupled Releases
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Managing Technical Debt
  • Introduction
  • Understanding the Causes of Technical Debt
  • Recognizing the Symptoms of Technical Debt
  • Strategies to Address Technical Debt
  • The Business Case for Managing Technical Debt
  • AI and the Management of Technical Debt
  • Introduction
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 50
  • Work in Small Batches
  • Introduction
  • Understanding Economically Optimal Batch Size
  • The Role of Feedback in Smaller Batches
  • Optimizing Batch Size in Practice
  • The Economics of Smaller Batches
  • AI and Small Batch Optimization
  • Introduction
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Value Stream Identification
  • Introduction
  • What Is a Value Stream?
  • Why Identify Value Streams?
  • Steps to Identify Value Streams
  • 1. Identify the Operational Value Streams
  • 2. Identify Supporting Systems and Solutions
  • 3. Identify the People Involved
  • 4. Identify Development Value Streams
  • 5. Map the Flow of Activities
  • 6. Minimize Dependencies and Optimize Flow
  • 7. Collaborate Across Teams
  • Illustrative Example
  • Organizing Teams Around Value Streams
  • Continuous Improvement in Value Streams
  • AI in Value Stream Identification
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 51
  • Value Stream Mapping
  • Introduction
  • What is Value Stream Mapping?
  • The Anatomy of a Value Stream
  • The VSM Process
  • 1. Identify Process Steps
  • 2. Define Roles and Responsibilities
  • 3. Measure and Analyze Key Metrics
  • 4. Identify Bottlenecks and Waste
  • 5. Design the Future State
  • 6. Create an Action Plan
  • 7. Iterate and Improve
  • The Benefits of VSM in the Cybernetic Enterprise
  • Enhanced Visibility and Alignment
  • Improved Efficiency and Predictability
  • Greater Customer Focus
  • Data-Driven Decision Making
  • Real-World Application: A Case Study
  • Key Metrics (Current State):
  • Observations:
  • Improvements:
  • Future State Map
  • Key Metrics (Future State):
  • Results of Improvement:
  • AI in Value Stream Mapping
  • Introduction
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 52
  • icon/quiz Created with Sketch.
    Quiz 143 attempts allowed
  • 14: Backlogs
  • Backlogs
  • Introduction
  • The Role of Backlogs in the Cybernetic Enterprise
  • Types of Backlogs in the Cybernetic Enterprise
  • Portfolio Backlog
  • Product Backlog
  • Team Backlog
  • Sprint Backlog
  • The Flow and Hierarchy of Backlogs
  • Best Practices for Managing Backlogs
  • AI in Backlog Management
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 53
  • Portfolio Backlog
  • Introduction
  • What is a Portfolio Backlog?
  • Key Characteristics
  • Purpose and Benefits
  • Managing the Backlog with Kanban
  • Key Roles and Responsibilities
  • Key Process States
  • Continuous Improvement
  • Best Practices
  • Artificial Intelligence in Portfolio Backlog Management
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Product Backlog
  • Introduction
  • Defining the Product Backlog
  • Key Elements of the Product Backlog:
  • Inputs to the Product Backlog
  • The Kanban System for the Product Backlog
  • AI and the Product Backlog
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 54
  • Team Backlog
  • Introduction
  • Understanding the Team Backlog
  • Key Roles and Responsibilities
  • Inputs to the Team Backlog
  • Incorporating Nonfunctional Requirements (NFRs)
  • Managing the Team Backlog Effectively
  • AI and the Team Backlog
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 55
  • Sprint Backlog
  • Introduction
  • Sprint Backlog vs. Team Backlog
  • Benefits of a Sprint Backlog
  • Key Components of a Sprint Backlog
  • Creating an Effective Sprint Backlog
  • AI and the Sprint Backlog
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 56
  • Backlog Items
  • Introduction
  • What is a Backlog Item?
  • The Generic Lifecycle of a Backlog Item
  • The Evolution of a Backlog Item
  • AI and the Backlog Items
  • Mental Model of Backlog Items
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 57
  • icon/quiz Created with Sketch.
    Quiz 153 attempts allowed
  • 15: Stories and Requirements
  • Epic
  • Introduction
  • Understanding Epics
  • The Epic Hypothesis Statement
  • Template for an Epic Hypothesis Statement
  • Example Epic
  • Lifecycle of an Epic
  • Example: A Mobile App for Dentist Appointments
  • Pivoted Epic: A Web Application for Dentist Appointments
  • Measuring Success
  • Why Epics? Visualizing the Problem and Solution
  • What We Think It Is
  • How It Actually Is
  • How It Should Be
  • Epics vs. Projects
  • The Benefits of Using Epics
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 58
  • Feature
  • Introduction
  • The Role of Features in the Cybernetic Enterprise
  • Creating Features
  • Implementing and Validating Features
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 59
  • User Story
  • Introduction
  • Characteristics of a Good User Story
  • The Purpose of User Stories
  • User Stories, Features, and Epics
  • The Impact of User Stories on Agile Development
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 60
  • Non-Functional Requirements (NFRs)
  • Introduction
  • The Role of NFRs in Agile and DevOps
  • Specifying and Testing NFRs
  • Example: Defining an NFR
  • Embedding NFRs into the Cybernetic Enterprise
  • AI and Non-Functional Requirements
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 61
  • Sprint Burndown Charts
  • Introduction
  • Understanding the Basics
  • Characteristics of a “Perfect” Burndown
  • Common Patterns and Their Implications
  • 1. The Cliff
  • 2. The Lag
  • 3. The Gap
  • 4. The Wave
  • 5. The Flatline
  • 6. The Bounce
  • Leveraging Burndown Charts for Improvement
  • AI and the Backlog Items
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 62
  • icon/quiz Created with Sketch.
    Quiz 163 attempts allowed
  • 16: Product
  • Minimum Viable Product (MVP)
  • Introduction
  • Defining the MVP
  • The Key Question
  • The Essence of Iterative Development: The MVP Metaphor
  • Three Core Stages of MVP Evolution
  • Real-World Examples of MVP Success
  • Spotify
  • Minecraft
  • Lego
  • Avoiding Common MVP Pitfalls
  • The Role of MVPs in the Cybernetic Enterprise
  • AI-Enhanced MVPs: Amplifying Feedback and Insight
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 63
  • Product Strategy
  • Introduction
  • Defining Product Strategy
  • Why Product Strategy Matters
  • Components of an Effective Product Strategy
  • Crafting a Product Strategy
  • Product Strategy in an Agile World
  • Product Strategy vs. Product Roadmap
  • The Role of Leadership
  • Product Strategy Examples
  • AI in Product Strategy
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 64
  • Product Vision
  • Introduction
  • Product Vision vs. Mission
  • Common Misconceptions About Product Vision
  • 1. Confusing Vision with Mission
  • 2. Each Team Creating Its Own Vision
  • The Role of a Product Vision
  • Indirect Benefits
  • Characteristics of an Effective Product Vision
  • Crafting the Product Vision
  • Essential Inputs
  • The Process
  • Examples of Product Vision
  • Maintaining the Product Vision
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 65
  • Roadmaps
  • Introduction
  • The Problem with Traditional Roadmaps
  • Why Do Roadmaps Persist?
  • The Alternative: Outcome-Driven Planning
  • Define a Clear Product Vision
  • Set Business Objectives
  • Foster High-Integrity Commitments
  • The Role of Empowered Teams
  • The Benefits of Outcome-Driven Planning
  • Building a Sustainable Planning Model
  • AI-Augmented Planning
  • Key Use Cases for AI in This Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 66
  • UX
  • Introduction
  • Understanding UX
  • The Role of the Product Designer in UX
  • Designing How the Product Works
  • Driving Product Discovery
  • Collaboration and Team Integration
  • Achieving Consistency in UX
  • The Impact of UX on the Cybernetic Enterprise
  • AI in UX
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 67
  • icon/quiz Created with Sketch.
    Quiz 173 attempts allowed
  • 17: Culture Practices
  • Introduction
  • AI in Cultural Practices
  • Key Use Cases for AI in this Practice
  • Tools and Platforms
  • The Cybernetic Advantage
  • Key Takeaways
  • How to get started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 68
  • Culture
  • Introduction
  • Understanding Culture in Digital Organizations
  • Westrum’s Organizational Culture Typology
  • The Role of Information Flow
  • Measuring and Changing Culture
  • Culture as a Predictor of Performance
  • Transforming Culture Through Action
  • Key Actions for Cultural Change
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 69
  • Employee Satisfaction
  • Introduction
  • Measuring Employee Satisfaction
  • The Link Between Job Satisfaction and Organizational Performance
  • Key drivers of job satisfaction include:
  • The Role of DevOps in Employee Satisfaction
  • Key DevOps practices that drive employee satisfaction include:
  • Building a Culture of Engagement
  • Key strategies to foster engagement:
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 70
  • Learning Culture
  • Introduction
  • Why a Learning Culture Matters
  • 1. Becoming a Learning Organization
  • Principles of a Learning Organization
  • 2. Fostering an Innovation Culture
  • Key Elements of an Innovation Culture
  • 3. Committing to Relentless Improvement
  • Pillars of Relentless Improvement
  • Building a Sustainable Learning Culture
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 71
  • Leadership
  • Introduction
  • The Role of Leadership in Cybernetic Transformation
  • Transformational Leadership in the Cybernetic Enterprise
  • The Managerial Role in Enabling High-Performing Teams
  • Leadership as a Cultural Multiplier
  • Practical Steps for Leaders in the Cybernetic Enterprise
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 72
  • icon/quiz Created with Sketch.
    Quiz 183 attempts allowed
  • 18: Architecture Practices
  • AI in Architecture
  • Introduction
  • Key Use Cases for AI in Architecture
  • Tools and Platforms
  • The Cybernetic Advantage
  • Artboard 3 Created with Sketch.
    Exercise 73
  • Loosely Coupled Architecture
  • Introduction
  • Evolution of Application Architecture
  • Key Patterns in Application Architecture
  • The Importance of Loose Coupling
  • Principles of Loosely Coupled Architecture
  • 1. Modularity
  • 2. Standardized Interfaces
  • 3. Iterative and Incremental Evolution
  • 4. Asynchronous Communication
  • 5. Independent Deployment and Evolution
  • 6. Broad Collaboration
  • Real-World Example: Modular Open Systems Approach (MOSA)
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Modularity
  • Introduction
  • The Essence of Modularity
  • Characteristics of a Modular System
  • Why Modularity Matters
  • Designing Modular Architectures
  • 1. Define Responsibilities Clearly
  • 2. Establish Standard Interfaces
  • 3. Ensure Information Hiding
  • 4. Balance Cohesion and Coupling
  • Modularity in the Cybernetic Platform
  • Modularity Enables AI Adoption
  • Organizational Implications
  • Patterns in Practice
  • Certification, Compliance, and Modularity
  • Anti-Patterns: Modularity Gone Wrong
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 74
  • Architect for the Cybernetic Enterprise
  • Architect for Change
  • Architect for Usability
  • Architect for Availability
  • Architect for Observability
  • Architect for Scalability
  • Architect for Security
  • Architect for Agility
  • Architect for Deployability
  • Architect for Maintainability
  • Architect for Operations
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 75
  • Architecture Decision Records (ADRs)
  • Introduction
  • What Are ADRs?
  • Structure of an ADR
  • Why Use ADRs?
  • 1. Improves Decision Transparency
  • 2. Enhances Collaboration
  • 3. Preserves Institutional Knowledge
  • 4. Encourages Thoughtful Decision-Making
  • 5. Supports Governance and Compliance
  • Best Practices for ADRs
  • 1. Keep ADRs Focused on Architecture Decisions
  • 2. Store ADRs Close to the Code
  • 3. Use a Simple and Consistent Template
  • 4. Keep ADRs Concise and Actionable
  • Tools for Managing ADRs
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 76
  • Lean Enterprise Architecture
  • Introduction
  • Understanding Enterprise Architecture
  • The Role of the Enterprise Architect
  • Lean Enterprise Architecture Is a Continuous Process
  • The Strategic Impact of Enterprise Architecture
  • The Role of Platforms in Enterprise Architecture
  • The Role of AI in Enterprise Architecture
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 77
  • icon/quiz Created with Sketch.
    Quiz 193 attempts allowed
  • 19: Teams and Roles
  • CEO
  • The Role of the CEO
  • The CEO as Chief Evangelist
  • Addressing Resistance
  • Beyond IT: Organization-Wide Impact
  • Building a New Culture
  • The Benefits of CEO Leadership
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 78
  • Team Topologies
  • Introduction
  • Cognitive Load and the Need for Effective Team Design
  • The Four Team Types
  • Modes of Team Interaction
  • Applying Team Topologies in the Cybernetic Enterprise
  • Example: Banking System Development
  • Benefits of Team Topologies
  • Challenges and Mitigation Strategies
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Product Managers
  • Introduction
  • Management Responsibilities
  • Coaching
  • Staffing
  • Leadership Responsibilities
  • Command and Control vs. Empowerment
  • Core Leadership Deliverables
  • Product Vision
  • Team Topology
  • Product Strategy
  • Enabling Execution
  • Team Objectives
  • Evangelism
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 79
  • Product Team
  • Introduction
  • Characteristics of High-Performing Product Teams
  • 1. Cross-Functionality
  • 2. Empowerment and Autonomy
  • 3. Customer-Centric Mindset
  • 4. Rapid Iteration and Continuous Delivery
  • 5. Psychological Safety and Collaboration
  • Product Team Structures
  • 1. Stream Aligned Teams
  • 2. Complicated Subsystem Teams
  • 3. Platform Teams
  • 4. Enabling Teams
  • Product Team Roles
  • Product Owner
  • Scrum Master / Agile Coach
  • Engineers
  • Product Designer
  • Product Team Best Practices
  • 1. Daily Stand-Ups
  • 2. Backlog Refinement
  • 3. Sprint Planning
  • 4. Continuous Integration & Continuous Deployment (CI/CD)
  • 5. Retrospectives
  • The Future of Product Teams
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Product Owner
  • Introduction
  • The Core Responsibility
  • Direct Access: The Three Pillars
  • Characteristics of High-Potential Product Owners
  • Domain Expertise: A Double-Edged Sword
  • Avoiding Common Pitfalls
  • The Path to Transformation
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 80
  • Product Designer
  • Introduction
  • Designing How the Product Works
  • Driving Product Discovery
  • Collaboration and Team Integration
  • Valuing Product Designers
  • Meeting Growing Demand
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 81
  • Tech Lead
  • Introduction
  • The Role of the Tech Lead
  • Key Responsibilities
  • The Dimensions of Technical Leadership
  • The Importance of Product Discovery
  • Characteristics of an Effective Tech Lead
  • Pitfalls to Avoid
  • A Formalized Mandate
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Scrum Master
  • Introduction
  • The Purpose of the Scrum Master
  • The Key Responsibilities of a Scrum Master
  • 1. Serving the Team
  • 2. Serving the Product Owner
  • 3. Serving the Organization
  • Characteristics of an Effective Scrum Master
  • Common Misconceptions About Scrum Masters
  • The Scrum Master’s Role in Scaling Agile
  • Measuring the Success of a Scrum Master
  • The Future of Scrum Masters in the Cybernetic Enterprise
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 82
  • Engineer
  • Introduction
  • The Role of the Engineer
  • Engineering Competencies
  • System Design and Architecture
  • DevOps and Automation
  • Security by Design
  • Data-Driven Decision Making
  • Collaboration and Communication
  • Engineering in the Cybernetic Enterprise
  • The Future of Engineering
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • AI
  • Introduction
  • 1. From Hype to Reality
  • 2. The Development Team as a “Translation Layer”
  • 3. Phases of AI Integration in Teams
  • Phase 1: AI-Assisted Development
  • Phase 2: AI as a Dev Team Member
  • Phase 3: Smaller Dev Teams
  • Phase 4: AI-Only Development
  • Phase 5: No Source Code
  • 4. Do We Still Need Developers and Other Human Roles?
  • 5. Embracing AI in the Cybernetic Enterprise
  • 6. Looking Ahead
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 83
  • icon/quiz Created with Sketch.
    Quiz 203 attempts allowed
  • 20: Organisational Practices
  • Who runs it?
  • Introduction
  • Summary of who runs it
  • You Build It, Ops Runs It
  • Operability
  • Incentivisation
  • Cost Considerations
  • On-Call
  • Optimal Availability Target
  • Advantages
  • Disadvantages
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • You Build It, You Run It
  • Operability
  • Incentivisation
  • Cost Considerations
  • On-Call
  • Optimal Availability Target
  • Advantages
  • Disadvantages
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • You Build It, Ops Run It at Scale
  • Operability
  • Incentivization
  • Cost Considerations
  • On-Call
  • Optimal Availability Target
  • Advantages
  • Disadvantages
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • You Build It You Run It at Scale
  • Operability
  • Incentivisation
  • Cost Considerations
  • On-Call
  • Optimal Availability Target
  • Advantages
  • Disadvantages
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • You Build It Ops Sometimes Run It
  • Operability
  • Incentivisation
  • Cost Considerations
  • On-Call
  • Optimal Availability Target
  • Advantages
  • Disadvantages
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • You Build It SRE Run It
  • Operability
  • Incentivization
  • Cost Considerations
  • On-Call
  • Optimal Availability Target
  • Advantages
  • Disadvantages
  • Conclusion
  • Closing Remarks
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 84
  • Distributed Teams
  • Introduction
  • The Impact of Team Configuration on Performance
  • Key Factors Influencing Distributed Team Success
  • Communication and Coordination
  • Trust and Engagement
  • Productivity and Decision-Making
  • Innovation and Knowledge Sharing
  • Coordination and Adaptability
  • Cost Considerations
  • Summary Table
  • Detail Tables
  • Conclusion
  • Key Takeaways
  • How to Get Started
  • How to Assess
  • Artboard 3 Created with Sketch.
    Exercise 85
  • icon/quiz Created with Sketch.
    Quiz 213 attempts allowed
  • 21: The Cybernetic Platform
  • Artboard 3 Created with Sketch.
    Exercise 86
  • Introduction
  • Codifying Principles into Practice
  • Enabling Self-Service and Flow
  • Artboard 3 Created with Sketch.
    Exercise 87
  • Integrating Feedback Loops
  • The Platform is the Product
  • Foundation for Transformation
  • Artboard 3 Created with Sketch.
    Exercise 88
  • Conclusion
  • Key Takeaways
  • Artboard 3 Created with Sketch.
    Exercise 89
  • How to Get Started
  • How to Assess
  • icon/quiz Created with Sketch.
    Quiz 223 attempts allowed
  • The Cybernetic Transformation
  • 22: The Cybernetic Transformation
  • Transformation Outcome
  • When is the Transformation Complete
  • The Importance of Results
  • Defining Transformation Outcomes
  • The Role of Preparedness
  • Conclusion
  • Artboard 3 Created with Sketch.
    Exercise 90
  • Transformation Assessment
  • Introduction
  • Purpose of Transformation Assessment
  • Key Principles of Assessment
  • How to Use and Interpret the Assessment Levels
  • Organizational Assessment
  • Product Development Practices
  • Team Autonomy and Collaboration
  • Use of Data and Feedback
  • Platform Enablement
  • AI and Automation Readiness
  • Organization Size and Roles
  • Product Management
  • Product Design
  • Engineering
  • Product Managership
  • Team Structure
  • Ownership and Access
  • Technology Assessment
  • Architecture and Systems
  • Technical Debt
  • Tooling and Developer Experience
  • Automation and AI Enablement
  • Infrastructure and Operations
  • Security and Compliance
  • Observability and Incident Response
  • Process Assessment
  • End-to-End Flow
  • Planning and Prioritization
  • Delivery Cadence and Flow Efficiency
  • Governance and Compliance
  • Feedback and Continuous Improvement
  • Adaptability and Responsiveness
  • Conclusion
  • Transformation Concepts
  • 1. Building Core Competencies
  • 2. Product Teams: Chemistry and Durability
  • Team Chemistry
  • Team Durability
  • 3. Designing Effective Team Topology
  • Evaluate Current Structure
  • Create Cross-Functional Teams
  • Adjust Team Scope
  • 4. Enhancing Product Discovery and Delivery
  • Product Discovery
  • Product Delivery
  • 5. Build the technology foundation
  • Purpose of the Platform
  • Core Capabilities
  • Product Thinking for Platforms
  • Platform as a Transformation Catalyst
  • 6. Driving Customer Engagement
  • 7. Fostering a Culture of Innovation
  • Hack Days
  • Cultural Retrospectives
  • 8. Aligning Product Vision and Strategy
  • Crafting a Product Vision
  • Developing a Product Strategy
  • 9. Managing the Portfolio
  • Classify Systems
  • Shift to Team-Based Funding
  • Artboard 3 Created with Sketch.
    Exercise 91
  • Transformation Adoption
  • The Importance of Tailored Adoption
  • Pilot Teams: Starting Small to Go Big
  • Three Dimensions of Transformation
  • Top-Down and Bottom-Up Approaches
  • Coaching Stakeholders for Collaboration
  • Managing Existing Commitments
  • Actionable Insights for Leaders
  • Avoiding Common Adoption Pitfalls
  • Conclusion
  • Transformation Evangelism
  • The Foundation of a Transformation Plan
  • Key steps to build this plan:
  • Executing the Transformation Plan
  • Keys to sustained execution:
  • The Role of Evangelism
  • Key activities of evangelism:
  • Listening as a Leadership Skill
  • The Power of Quick Wins
  • Examples of quick wins to celebrate:
  • Avoiding Evangelism Pitfalls
  • Sustaining Momentum: The Drumbeat of Progress
  • Practical tips for sustaining momentum:
  • Conclusion
  • Artboard 3 Created with Sketch.
    Exercise 92
  • Keys to Successful Transformation
  • 1. The Role of the CEO
  • 2. Technology as a Strategic Foundation
  • 3. Strong Product Managership
  • 4. Competent Product Owners
  • 5. Central Role of Product Designers
  • 6. Empowered Engineering Teams
  • 7. Insights-Based Product Strategy
  • 8. Collaborative Stakeholder Relationships
  • 9. Continuous Evangelization of Outcomes
  • 10. Corporate Courage
  • 11. Feedback-Driven Adaptation
  • 12. Lightweight Governance and Sustainability
  • Conclusion
  • Artboard 3 Created with Sketch.
    Exercise 93
  • Implementation Roadmap
  • Phase 1: Initiate (Months 0-6): Laying the Foundation
  • Phase 2: Scale (Months 6-18): Expanding and Accelerating Transformation
  • Phase 3: Sustain (Month 18+ and Ongoing): Embedding and Continuous Evolution
  • Conclusion
  • Artboard 3 Created with Sketch.
    Exercise 94
  • icon/quiz Created with Sketch.
    Quiz 233 attempts allowed
  • 23: Closing
  • A Clear Direction
  • The Call to Action
  • A Lasting Impact
  • Appendix
  • Original Forewords
  • Foreword by Prof. Dr. Oliver T. Gilbert to The Cybernetic Enterprise
  • Prof. Dr. Oliver T. Gilbert
  • Foreword by Prof. Markus Dobbelfeld to The Cybernetic Enterprise
  • Prof. Markus Dobbelfeld
  • Author Biography
  • Illustrator Biography
  • 24: Writing the book
  • Revision History
  • The Journey of Writing This Book
  • The Decision to Self-Publish
  • A Continuous Delivery Pipeline for Book Publishing
  • My Workflow
  • The Book as a Product
  • The Numbers Behind the Book
  • AI-Assisted Authorship: Method, Ethics, and Transparency
  • AI as a Writing Coach
  • Boundaries of Human Authorship
  • Legal and Copyright Considerations
  • Attribution and Ethical Integrity
  • The Human Side of Authorship
  • Final Thoughts
  • 25: Acknowledgments
  • 26: Bibliography

Instructors

    • Romano Roth is a pioneering thought leader in cybernetic transformation, enterprise evolution, and platform engineering, with over two decades of experience in the technology sector. As the Global Chief of Cybernetic Transformation at Zühlke, Romano shapes the global strategy and service portfolio for cybernetic enterprises, platform engineering, AI integration, and cloud solutions. His visionary approach redefines how organizations innovate, adapt, and scale in industries such as finance, insurance, cybersecurity, energy, healthcare, and aerospace.

      In a world reshaped by Artificial Intelligence (AI), Romano believes the key to resilience and competitiveness lies in the transformation toward the Cybernetic Enterprise, a new operating model driven by feedback loops, AI-augmented workflows, and self-learning systems that place customer success at the center. His work empowers companies to continuously create value by harmonizing people, processes, technology, and AI.

      Romano began his journey at Zühlke 23 years ago, evolving from software engineer and architect to trusted consultant, and now to his leadership role in cybernetic transformation. His passion for value creation through automation and quality led him from engineering into the DevOps movement and further into the forefront of enterprise transformation.

      He is the organizer of the monthly DevOps Meetup in Zürich and the president of DevOps Days Zürich, an annual conference within the global DevOps movement. Romano shares his insights via his YouTube channel, with over 250 videos, and through more than 30 blog articles focused on DevOps, architecture, leadership, and transformation.

      His commitment to thought leadership and education extends to his role as a lecturer in DevOps leadership, agile methodologies, digital transformation, and enterprise architecture at the Lucerne University of Applied Sciences and Arts. omano’s work champions a culture of innovation and agility, helping enterprises evolve into adaptive systems capable of thriving in complex, fast-changing environments.​

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