Digitalization of Financial Services in the Age of Cloud (Fourth Early Release)

If you're planning, building, or implementing a cloud strategy that supports digitalization for your financial services business, this invaluable guide clearly sets out the crucial factors and questions to consider first. With it, you'll learn how to avoid the costly and time-consuming pitfalls and disappointments of cloud adoption and take full advantage of the cloud operational model. You'll discover cloud tactics that unlock the benefits of digitalization and how to create a cloud strategy that has the flexibility to streamline operations, integrate channels, and encourage innovation in your firm. Packed with invaluable advice and real-world case studies, this book will show you how to Select the right operational models for your needs Build resilience into your company's technologies Assess the trade-offs of third-party digital native services versus developing them in-house Ensure operability across cloud services providers Balance innovation and accountability Deal with digitalization issues of particular importance in finance, such as governance, security, and regulatory compliance Preface Why We Wrote This Book How to Use (or Navigate) This Book Conventions Used in This Book Using Code Examples O’Reilly Online Learning How to Contact Us Acknowledgments Jamil Mina Armin Warda Rafael Marins Russ Miles I. Digitalization and Cloud Strategy 1. Strategy and Digitalization What Is Strategy? The Purpose of Digitalization Cloud Adoption Disillusionment Digitalization Versus Digitization (and Cloudification) Digitalization, Strategy, and Cloud Getting Started: Parts of a Digitalization Strategy 2. Starting with the End in Mind Show Me the Return on Investment (ROI)! Value Chains and Business Perspectives Value Chain Capabilities Through the Lens of ROI Gathering the Right Perspectives Establish Your Strategy Quickly, Reevaluate Continuously Collecting the Parts of Your Digitalization Strategy II. Financial Services Digitalization in Context: Landscape and Climate 3. Mapping the Landscape Mapping the Situation What Is a Wardley Map? Your Anchor and Your System Components The Value Chain Axis From Uncharted to Industrialized Exploring Your Value Chain 4. Climatic Patterns in Financial Services Climatic Pattern 1: Financial Services, Everywhere Trust and Risk Distribution Diverse Products, Globally Accessible: Embedded Finance “X, Everywhere” Is a General Climatic Pattern Climatic Pattern 2: No Business Is an Island Climatic Pattern 3: Lower Technology Barriers to Entry Climatic Pattern 4: Emphasis on Speed, Scale, and Agility Climatic Pattern 5: Sustainability Matters Climatic Patterns Change III. Strategic Digitalization Doctrine 5. Building Your Digitalization Roadmap The “Everything, Everywhere, All at Once!” Anti-Pattern Iterative and Incremental with Experiments Building Your Digitalization Experiment Backlog Learning from Experiments The Importance of Stories Lessons Learned from “Learning from Incidents” Continuously Reevaluating Your Strategy and Roadmap Introducing Experiment Templates Experiment Template: Explore Continuous Delivery 6. Architecture and Governance Exploring the Structure That Supports, or Hinders, Your Value Chains Modularity and Cohesion Matter What Does Good Modularity Look and Feel Like? Modules in Action: Services, Applications, Bounded Contexts, and Platforms Architectural Styles in Financial Services Evolving Architecture: The “Impossible” Job Residuality Starts with the Naive What Survives? There Can Be Only One: What Survives, Wins Governing the Ungovernable The Parable of the Ignored (Cloud) Architects Making the Architecture Unignorable by Making Production Unignorable Governance: Proactive, Continuous, Chaos Engineering Evolving Governance Architecture and Governance Experiment Templates Experiment Template: Cloud Variants Experiment Template: Cloud Native Experiment Template: Wrap and Retire Legacy Platforms with APIs 7. People, Process, and Organizational Structure The Hidden Life of Teams Production Is (Not) the Problem The Problem of Hierarchical Organization Chart Thinking From Project to Product Why Teams? Establishing and Evolving Your Teams Team Topologies: Teams and Interaction Styles Wardley Mapping: Explorers, Villagers and Town Planners Governance for Teams People, Process, and Organizational Structure Experiment Templates Experiment Template: Open Collaboration Experiment Template: Configuration and Infrastructure as Code Experiment Template: GitOps Experiment Template: Shifting Security Left with DevSecOps Experiment Template: Progressive Delivery 8. Operational Models DevOps Focus on Flow and Feedback Loops You Build It, You Run It...You Go to Jail?! Segregation Doesn’t Mean Zero Collaboration Operational Models Experiment Templates Experiment Template: Surface Everything with Observability Experiment Template: Site Reliability Engineering Experiment Template: FinOps Experiment Template: Engineer Resilience 9. Exploring Paths, Destination Unknown Can You Stop (and Still Have Gained Value)? Stop When Done, for Risk, or for Change Optimize for (Frequent) Learning Tying the Room Together Continuous Digitalization If you're planning, building, or implementing a cloud strategy that supports digitalization for your financial services business, this invaluable guide clearly sets out the crucial factors and questions to consider first. With it, you'll learn how to avoid the costly and time-consuming pitfalls and disappointments of cloud adoption and take full advantage of the cloud operational model. You'll discover cloud tactics that unlock the benefits of digitalization and how to create a cloud strategy that has the flexibility to streamline operations, integrate channels, and encourage innovation in your firm.Packed with invaluable advice and real-world case studies, this book will show you how to:Select the right operational models for your needsBuild resilience into your company's technologiesAssess the trade-offs of third-party digital native services versus developing them in-houseEnsure operability across cloud services providersBalance innovation and accountabilityDeal with digitalization issues of particular importance in finance, such as governance, security, and regulatory complianceAnd more Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field.Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features.This handy guide will help you:Learn how Python represents data and program as objectsUnderstand the value and uses of type annotationsExamine which language features appeared in which recent versionsDiscover how to use modern Python idiomaticallyLearn ways to structure Python projects appropriatelyUnderstand how to debug Python code Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to design and prototyping to testing, deployment, and maintenance. With this updated fourth edition, you'll learn how to get the most out of Python, whether you're a professional programmer or someone who needs this language to solve problems in a particular field. Carefully curated by recognized experts in Python, this new edition focuses on version 3.10, bringing this seminal work on the Python language fully up to date on five version releases, including preview coverage of upcoming 3.11 features. This handy guide will help