Monolith to Microservices. Evolutionary Patterns to Transform Your Monolith Sam Newman

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Autor:: Sam Newman
Wydawnictwo:: O'Reilly Media (Z chęcią przeczytam książkę w języku polskim)
Ocena:: Bądź pierwszym, który oceni tę książkę
Stron:: 272
Dostępne formaty:: ePub

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Monolith to Microservices. Evolutionary Patterns to Transform Your Monolith Sam Newman

Budowanie mikrousług. Projektowanie drobnoziarnistych systemów. Wydanie II Sam Newman

Od monolitu do mikrousług. Ewolucyjne wzorce przekształcania systemów monolitycznych Sam Newman

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How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.

With many illustrative examples, insightful migration patterns, and a bevy of practical advice to transition your monolith enterprise into a microservice operation, this practical guide covers multiple scenarios and strategies for a successful migration, from initial planning all the way through application and database decomposition. You’ll learn several tried and tested patterns and techniques that you can use as you migrate your existing architecture.

Ideal for organizations looking to transition to microservices, rather than rebuild
Helps companies determine whether to migrate, when to migrate, and where to begin
Addresses communication, integration, and the migration of legacy systems
Discusses multiple migration patterns and where they apply
Provides database migration examples, along with synchronization strategies
Explores application decomposition, including several architectural refactoring patterns
Delves into details of database decomposition, including the impact of breaking referential and transactional integrity, new failure modes, and more

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O autorze książki

Sam Newman - jest technologiem w firmie ThoughtWorks, gdzie dzieli swój czas pomiędzy pomoc klientom z całego świata, a rolę architekta wewnętrznych systemów. Współpracował z różnymi firmami na całym świecie, zarówno w zakresie projektowania systemów, jak i innych operacji związanych z informatyką.

Sam Newman - pozostałe książki

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Od monolitu do mikrousług. Ewolucyjne wzorce przekształcania systemów monolitycznych

Autor:: Sam Newman

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Szczegóły książki

ISBN Ebooka:: 978-14-920-4779-7, 9781492047797
Data wydania ebooka :: 2019-11-14 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: angielski
Rozmiar pliku ePub:: 10.1MB
Rozmiar pliku Mobi:: 25.5MB

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Kategorie:
Programowanie » Techniki programowania

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Spis treści książki

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