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Monolith to Microservices. Evolutionary Patterns to Transform Your Monolith

Sam Newman
promocja -14%
cena: 216.45348837209 zł 186.15 zł
Data wydania: 2019-11-14
stron: 272, miĂŞkka oprawa, format:

więcej na stronie helion.pl

Monolith to Microservices. Evolutionary Patterns to Transform Your Monolith eBook -- spis treści

  • Preface
    • What You Will Learn
    • Conventions Used in This Book
    • OReilly Online Learning
    • How to Contact Us
    • Acknowledgments
  • 1. Just Enough Microservices
    • What Are Microservices?
      • Independent Deployability
      • Modeled Around a Business Domain
      • Own Their Own Data
      • What Advantages Can Microservices Bring?
      • What Problems Do They Create?
      • User Interfaces
      • Technology
      • Size
      • And Ownership
    • The Monolith
      • The Single Process Monolith
        • And the modular monolith
      • The Distributed Monolith
      • Third-Party Black-Box Systems
      • Challenges of Monoliths
      • Advantages of Monoliths
    • On Coupling and Cohesion
      • Cohesion
      • Coupling
        • Implementation coupling
        • Temporal coupling
        • Deployment coupling
        • Domain coupling
    • Just Enough Domain-Driven Design
      • Aggregate
      • Bounded Context
      • Mapping Aggregates and Bounded Contexts to Microservices
      • Further Reading
    • Summary
  • 2. Planning a Migration
    • Understanding the Goal
      • Three Key Questions
    • Why Might You Choose Microservices?
      • Improve Team Autonomy
        • How else could you do this?
      • Reduce Time to Market
        • How else could you do this?
      • Scale Cost-Effectively for Load
        • How else could you do this?
      • Improve Robustness
        • How else could you do this?
      • Scale the Number of Developers
        • How else could you do this?
      • Embrace New Technology
        • How else could you do this?
    • When Might Microservices Be a Bad Idea?
      • Unclear Domain
      • Startups
      • Customer-Installed and Managed Software
      • Not Having a Good Reason!
    • Trade-Offs
    • Taking People on the Journey
    • Changing Organizations
      • Establishing a Sense of Urgency
      • Creating the Guiding Coalition
      • Developing a Vision and Strategy
      • Communicating the Change Vision
      • Empowering Employees for Broad-Based Action
      • Generating Short-Term Wins
      • Consolidating Gains and Producing More Change
      • Anchoring New Approaches in the Culture
    • Importance of Incremental Migration
      • Its Production That Counts
    • Cost of Change
      • Reversible and Irreversible Decisions
      • Easier Places to Experiment
    • So Where Do We Start?
    • Domain-Driven Design
      • How Far Do You Have to Go?
      • Event Storming
      • Using a Domain Model for Prioritization
    • A Combined Model
    • Reorganizing Teams
      • Shifting Structures
      • Its Not One Size Fits All
      • Making a Change
      • Changing Skills
    • How Will You Know if the Transition Is Working?
      • Having Regular Checkpoints
      • Quantitative Measures
      • Qualitative Measures
      • Avoiding the Sunk Cost Fallacy
      • Being Open to New Approaches
    • Summary
  • 3. Splitting the Monolith
    • To Change the Monolith, or Not?
      • Cut, Copy, or Reimplement?
      • Refactoring the Monolith
        • A modular monolith?
        • Incremental rewrites
    • Migration Patterns
    • Pattern: Strangler Fig Application
      • How It Works
      • Where to Use It
      • Example: HTTP Reverse Proxy
        • Step 1: Insert proxy
        • Step 2: Migrate functionality
        • Step 3: Redirect calls
      • Data?
      • Proxy Options
        • Incremental rollout
      • Changing Protocols
        • And service meshes
      • Example: FTP
      • Example: Message Interception
        • Content-based routing
        • Selective consumption
      • Other Protocols
      • Other Examples of the Strangler Fig Pattern
    • Changing Behavior While Migrating Functionality
    • Pattern: UI Composition
      • Example: Page Composition
      • Example: Widget Composition
        • And mobile applications
      • Example: Micro Frontends
      • Where to Use It
    • Pattern: Branch by Abstraction
      • How It Works
        • Step 1: Create abstraction
        • Step 2: Use abstraction
        • Step 3: Create new implementation
        • Step 4: Switch implementation
        • Step 5: Clean up
      • As a Fallback Mechanism
      • Where to Use It
    • Pattern: Parallel Run
      • Example: Comparing Credit Derivative Pricing
      • Example: Homegate Listings
      • Verification Techniques
      • Using Spies
      • GitHub Scientist
      • Dark Launching and Canary Releasing
      • Where to Use It
    • Pattern: Decorating Collaborator
      • Example: Loyalty Program
      • Where to Use It
    • Pattern: Change Data Capture
      • Example: Issuing Loyalty Cards
      • Implementing Change Data Capture
        • Database triggers
        • Transaction log pollers
        • Batch delta copier
      • Where to Use It
    • Summary
  • 4. Decomposing the Database
    • Pattern: The Shared Database
      • Coping Patterns
      • Where to Use It
    • But It Cant Be Done!
    • Pattern: Database View
      • The Database as a Public Contract
      • Views to Present
      • Limitations
      • Ownership
      • Where to Use It
    • Pattern: Database Wrapping Service
      • Where to Use It
    • Pattern: Database-as-a-Service Interface
      • Implementing a Mapping Engine
      • Compared to Views
      • Where to Use It
    • Transferring Ownership
      • Pattern: Aggregate Exposing Monolith
        • As a pathway to more services
        • Where to use it
        • Where to use it
      • Pattern: Change Data Ownership
        • Where to use it
    • Data Synchronization
    • Pattern: Synchronize Data in Application
      • Step 1: Bulk Synchronize Data
      • Step 2: Synchronize on Write, Read from Old Schema
      • Step 3: Synchronize on Write, Read from New Schema
      • Where to Use This Pattern
      • Where to Use It
    • Pattern: Tracer Write
      • Data Synchronization
      • Example: Orders at Square
        • Creating the new service
        • Synchronizing the data
        • Migrating consumers
      • Where to Use It
    • Splitting Apart the Database
      • Physical Versus Logical Database Separation
    • Splitting the Database First, or the Code?
      • Split the Database First
        • Pattern: Repository per bounded context
          • Where to use it
        • Pattern: Database per bounded context
          • Where to use it
      • Split the Code First
        • Pattern: Monolith as data access layer
          • Where to use it
        • Pattern: Multischema storage
          • Where to use it
      • Split Database and Code Together
      • So, Which Should I Split First?
    • Schema Separation Examples
    • Pattern: Split Table
      • Where to Use It
    • Pattern: Move Foreign-Key Relationship to Code
      • Moving the Join
      • Data Consistency
        • Check before deletion
        • Handle deletion gracefully
        • Dont allow deletion
        • So how should we handle deletion?
      • Where to Use It
      • Example: Shared Static Data
        • Pattern: duplicate static reference data
          • Where to use it
        • Pattern: Dedicated reference data schema
          • Where to use it
        • Pattern: Static reference data library
          • Where to use it
        • Pattern: Static reference data service
          • Where to use it
        • What would I do?
    • Transactions
      • ACID Transactions
      • Still ACID, but Lacking Atomicity?
      • Two-Phase Commits
      • Distributed TransactionsJust Say No
    • Sagas
      • Saga Failure Modes
        • Saga rollbacks
        • Reordering steps to reduce rollbacks
        • Mixing fail-backward and fail-forward situations
      • Implementing Sagas
        • Orchestrated sagas
        • Choreographed sagas
        • Mixing styles
        • Should I use choreography or orchestration?
      • Sagas Versus Distributed Transactions
    • Summary
  • 5. Growing Pains
    • More Services, More Pain
    • Ownership at Scale
      • How Can This Problem Show Itself?
      • When Might This Problem Occur?
      • Potential Solutions
    • Breaking Changes
      • How Can This Problem Show Itself?
      • When Might This Problem Occur?
      • Potential Solutions
        • Eliminate accidental breaking changes
        • Think twice before making a breaking change
        • Give consumers time to migrate
    • Reporting
      • When Might This Problem Occur?
      • Potential Solutions
    • Monitoring and Troubleshooting
      • When Might These Problems Occur?
      • How Can These Problems Occur?
      • Potential Solutions
        • Log aggregation
        • Tracing
        • Test in production
        • Toward observability
    • Local Developer Experience
      • How Can This Problem Show Itself?
      • When Might This Occur?
      • Potential Solutions
    • Running Too Many Things
      • How Might This Problem Show Itself?
      • When Might This Problem Occur?
      • Potential Solutions
    • End-to-End Testing
      • How Can This Problem Show Itself?
      • When Might This Problem Occur?
      • Potential Solutions
        • Limit scope of functional automated tests
        • Use consumer-driven contracts
        • Use automated release remediation and progressive delivery
        • Continually refine your quality feedback cycles
    • Global Versus Local Optimization
      • How Can This Problem Show Itself?
      • When Might This Problem Occur?
      • Potential Solutions
    • Robustness and Resiliency
      • How Can This Problem Show Itself?
      • When Might This Problem Occur?
      • Potential Solutions
    • Orphaned Services
      • How Can This Problem Show Itself?
      • When Might This Problem Occur?
      • Potential Solutions
    • Summary
  • 6. Closing Words
  • A. Bibliography
  • B. Pattern Index
  • Index

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