Software architectural patterns are high-level design templates or solutions that provide a structured approach for organizing and designing software systems. Architectural patterns offer proven solutions to recurring design problems and help architects and developers build scalable, maintainable, and robust software applications.
NOTE Architectural patterns are not rigid templates but guidelines to be tailored to the specific requirements and context of each project. Adapt the patterns as needed, considering the unique characteristics and constraints of the system being developed.
Distribution Patterns
1.1. MVC
MVC (Model-View-Controller) is a widely used architectural pattern for designing and developing software applications. It separates the concerns of data management, user interface, and application logic by dividing the application into three interconnected components: the Model, the View, and the Controller.
The MVC pattern has been adopted in various application frameworks and platforms, including web development frameworks (e.g., Ruby on Rails, ASP.NET MVC), desktop application frameworks (e.g., JavaFX), and mobile application frameworks (e.g., iOS, Android). It provides a structured and maintainable way to design and organize software applications.
Elements of MVC:
Model: The Model represents the data and the business logic of the application. It encapsulates the data structure, access methods, and rules for manipulating and managing the data. The Model component is responsible for maintaining the consistency and integrity of the data.
View: The View is responsible for presenting the user interface to the users. It displays the data from the Model in a format that is understandable and visually appealing to the users. The View component is passive and does not contain any business logic; it simply renders the data provided by the Model.
Controller: The Controller acts as an intermediary between the Model and the View. It receives input from the users through the View and initiates appropriate actions in the Model. It also listens for changes in the Model and updates the View accordingly. The Controller contains the application logic and coordinates the interaction between the Model and the View.
Benefits of MVC:
Separation of concerns: The MVC pattern promotes a clear separation between the data, the user interface, and the application logic. This separation makes the code more modular, maintainable, and testable.
Reusability: By separating the components, each part of the MVC pattern can be reused independently. For example, the same Model can be used with different Views or the same Controller logic can be used with different Models.
Scalability and maintainability: The MVC pattern provides a structured approach to development, making it easier to scale and maintain the application over time. Changes in one component, such as the data structure or user interface, can be made without affecting the other components.
Simultaneous development: The MVC pattern allows different teams or developers to work on different components simultaneously. The Model, View, and Controller can be developed and tested independently, speeding up the development process.
User interface flexibility: Since the View and Controller are decoupled from the Model, it is possible to have multiple Views for the same Model, each presenting the data in a different way. This flexibility allows for better customization and adaptation to different user interface requirements.
1.2. MVP
Model-View-Intent (MVI)
1.3. MVVM
Vertical Slice Architecture
N-Tier Architecture
Two-Tier Architecture
Three-Tier Architecture
Four-Tier Architecture
Five-Tier Architecture
Multi-Tier Architecture
Multi-Tier Architecture (N > 5)
1.4. Layered Architecture
1.5. Microservices
1.6. Clean Architecture
Project Layout
The tree view represents a common directory structure for a Clean Architecture project.
project_root/
├── src/
│ ├── core/ # Domain layer (independent of frameworks)
│ │ ├── entities/ # Domain entities (models)
│ │ ├── valueobjects/ # Domain value objects
│ │ ├── usecases/ # Application business logic
│ │ ├── repositories/ # Interfaces for data access
│ │ └── ... # Other domain-related subfolders
│ ├── infra/ # Infrastructure layer (specific implementations)
│ │ ├── databases/ # Database access (SQL, NoSQL, etc.)
│ │ ├── networks/ # Network communication (APIs, etc.)
│ │ ├── ui/ # UI frameworks (Android, iOS, web, etc.)
│ │ └── ... # Other infrastructure-related subfolders
│ └── presentation/ # Presentation layer (view models, controllers)
│ ├── android/ # Android specific UI implementation
│ ├── ios/ # iOS specific UI implementation
│ ├── web/ # Web specific UI implementation
│ └── ... # Other UI implementations
├── test/ # Unit and integration tests
│ └── ...
└── ... # Other project files (build scripts, configuration)
Notes:
This is a general structure, specific details may vary based on programming language and project needs.
The core layer should have minimal dependencies and be framework-independent.
The infra layer contains concrete implementations for databases, networks, and UI frameworks.
The presentation layer uses the core layer's use cases and adapts them for specific UI frameworks (Android, iOS, web, etc.).
Project Layout
The tree view of a Clean Architecture project layout, directory structure respectively.
The tree view represents a common directory structure for a Hexagonal Architecture project. Keep the core domain logic independent of external technologies and frameworks.
├── README.md
├── LICENSE
├── .gitignore
├── package.json
├── src
│ ├── index.js
│ ├── components
│ │ ├── App.js
│ │ ├── Header.js
│ │ └── Footer.js
│ ├── reducers
│ │ ├── index.js
│ │ ├── userReducer.js
│ │ └── postReducer.js
│ ├── actions
│ │ ├── index.js
│ │ ├── userActions.js
│ │ └── postActions.js
│ ├── sagas
│ │ ├── index.js
│ │ ├── userSagas.js
│ │ └── postSagas.js
│ ├── utils
│ │ ├── api.js
│ │ ├── constants.js
│ │ ├── helpers.js
│ │ └── ...
│ └── styles
│ ├── index.css
│ ├── app.css
│ ├── header.css
│ ├── footer.css
│ └── ...
└── public
├── index.html
├── favicon.ico
├── logo.png
└──
...
Examples and Explanations:
- `README.md`: This is a file that contains the documentation and instructions for the project. It is written in markdown and usually displayed on the project's GitHub page.
- `LICENSE`: This is a file that specifies the terms and conditions for using, modifying, and distributing the project. It is usually a standard open source license such as MIT, GPL, or Apache.
- `.gitignore`: This is a file that tells Git which files or folders to ignore when committing or pushing changes to the repository. It usually contains patterns or names of files that are generated by the project or the system, such as `node_modules`, `.env`, or `.DS_Store`.
- `package.json`: This is a file that contains the metadata and dependencies of the project. It is used by npm or yarn to install and manage the packages that the project requires. It also contains scripts and configurations for running and building the project.
- `src`: This is a folder that contains the source code of the project. It is usually organized into subfolders according to the type or functionality of the code, such as components, reducers, actions, sagas, utils, and styles.
- `index.js`: This is the entry point of the project. It is the file that is executed when the project is run or built. It usually imports and renders the main component, such as `App.js`, and applies the redux store and the saga middleware to the application.
- `components`: This is a folder that contains the React components of the project. A component is a reusable piece of UI that can accept props and render elements. Each component is usually defined in a separate file with the same name, such as `App.js`, `Header.js`, or `Footer.js`.
- `reducers`: This is a folder that contains the redux reducers of the project. A reducer is a function that takes the previous state and an action, and returns the next state. Each reducer is usually defined in a separate file according to the slice of state it manages, such as `userReducer.js`, `postReducer.js`, or `index.js` (which combines all the reducers using `combineReducers`).
- `actions`: This is a folder that contains the redux actions of the project. An action is an object that describes what happened in the application, such as `{ type: 'LOGIN', payload: { username: 'Alice' } }`. Each action is usually defined in a separate file according to the domain or feature it belongs to, such as `userActions.js`, `postActions.js`, or `index.js` (which exports all the actions).
- `sagas`: This is a folder that contains the saga functions of the project. A saga is a function that uses the `yield` keyword and the `effects` from the saga library to perform asynchronous or complex tasks, such as calling an API, dispatching actions, or handling errors. Each saga is usually defined in a separate file according to the domain or feature it belongs to, such as `userSagas.js`, `postSagas.js`, or `index.js` (which runs all the sagas using `all` and `fork`).
- `utils`: This is a folder that contains the utility functions or constants of the project. A utility function is a function that performs a common or generic task, such as formatting a date, validating an input, or generating a random number. A constant is a variable that holds a fixed or immutable value, such as a URL, a color, or a message. Each utility function or constant is usually defined in a separate file according to its purpose or category, such as `api.js`, `constants.js`, or `helpers.js`.
- `styles`: This is a folder that contains the CSS files of the project. CSS is a language that defines the style and layout of the HTML elements. Each CSS file is usually named after the component or feature it styles, such as `index.css`, `app.css`, `header.css`, or `footer.css`.
- `public`: This is a folder that contains the static assets of the project, such as HTML, images, icons, or fonts. These files are usually copied or served as they are, without any processing or bundling. The most important file in this folder is `index.html`, which is the HTML file that loads the JavaScript bundle and renders the application.
#### 1.11. Data Mesh
project_root/
├── domains/
│ ├── domain_1/
│ │ ├── data/ # Raw and curated data for domain_1
│ │ ├── pipelines/ # Scripts for data ingestion, transformation, validation
│ │ ├── ownership/ # Documentation on data ownership, access control
│ │ └── tests/ # Unit and integration tests for data pipelines
│ ├── domain_2/ # Similar structure for other domains
│ └── ...
├── infrastructure/
│ ├── orchestration/ # Tools for scheduling and managing data pipelines
│ ├── storage/ # Configuration for data storage (e.g., data lake)
│ └── monitoring/ # Tools for monitoring pipeline health and data quality
├── platform/ # Optional: Shared codebase for common data processing tasks
│ └── ...
├── readme.md # Project overview, setup instructions
├── data_products/ # Optional: Location for curated data products
│ └── ...
└── tests/ # Integration tests for overall data mesh functionality
This layout emphasizes domain-driven ownership of data. Each domain has its own directory containing:
* **data/**: Raw and curated data relevant to the domain
* **pipelines/**: Scripts to ingest, transform, and validate data
* **ownership/**: Documentation on data ownership, access control
* **tests/**: Unit and integration tests for data pipelines
* **domains/**: The core directory containing subdirectories for each domain.
* **infrastructure/**: Configuration and tools for managing the data mesh infrastructure.
* **platform/** (Optional): Shared codebase for common data processing tasks across domains.
* **readme.md**: Project overview, setup instructions, and documentation.
* **data_products/** (Optional): Location for curated data products consumed by applications.
* **tests/**: Integration tests for overall data mesh functionality.
#### 1.12. Domain-Driven Design (DDD)
- Project Layout
```plaintext
project/
├── src/
│ ├── domain/
│ │ ├── <domain_context_1>/ // Folder per domain context
│ │ │ ├── entities/ // Entities representing domain concepts
│ │ │ ├── value_objects/ // Immutable objects with data
│ │ │ ├── repositories/ // Interfaces for persistence access
│ │ │ └── services/ // Domain logic operations
│ │ ├── ... (other domain contexts)
│ │ └── shared/ // Shared domain concepts across contexts
│ ├── application/
│ │ ├── commands/ // Data for initiating actions
│ │ ├── queries/ // Data for retrieving information
│ │ └── services/ // Application-level services
│ ├── infrastructure/
│ │ ├── persistence/ // Persistence mechanisms (databases, etc.)
│ │ └── ... (other infrastructure concerns)
│ └── presentation/ // User Interface (web, console, etc.)
├── tests/
│ └── ... (unit and integration tests)
└── ... (other project configurations)
src/: Contains the source code for the application.
domain/: Core domain logic resides here.
<domain_context_1>, etc.: Folders for each domain context (bounded contexts).
Component-Driven Development (CDD) is an approach to software development that emphasizes the construction of applications by composing modular, reusable components. It focuses on building and integrating self-contained, loosely coupled components as the primary building blocks of an application.
In CDD, the application is divided into smaller, independent components, each representing a distinct functionality or user interface element. These components can be developed, tested, and maintained independently, promoting code reusability and modular design. The components are typically designed to have well-defined interfaces, allowing them to be easily integrated into larger systems or used across multiple projects.
CDD encompasses the entire development lifecycle, from designing and implementing components to integrating them into larger systems. It promotes modularity, reusability, and scalability in software development, enabling teams to build applications more efficiently and maintainable by focusing on building and integrating reusable components.
NOTE CDD aligns well with modern frontend development frameworks like React, Vue.js, and Angular, which provide component-centric development approaches.
Concepts of CDD:
Component-Based Architecture: CDD emphasizes the use of a component-based architecture, where components are the fundamental units of development, deployment, and composition. Components are self-contained entities that encapsulate specific functionality or user interface elements.
Reusability: Components in CDD are designed to be reusable across different parts of the application or even in different projects. This reusability reduces duplication of code and accelerates development by leveraging existing components.
Isolation and Independence: Components in CDD are developed in isolation, allowing them to be tested, maintained, and evolved independently. Each component has its own well-defined boundaries and dependencies, minimizing coupling with other components.
Component Libraries: Component libraries are collections of reusable components that adhere to a specific set of guidelines and standards. These libraries provide a repository of components that developers can leverage to build applications more efficiently.
Component Testing: Testing plays a crucial role in CDD. Components are tested in isolation to ensure their individual functionality and behavior. Additionally, integration tests are performed to verify the correct composition and interaction of components within the application.
Designing with Composability in Mind: Components in CDD are designed to be easily composed together to form larger applications. They provide well-defined interfaces and expose properties, events, and methods for interaction and customization.
Collaboration and Documentation: CDD encourages collaboration between designers, developers, and stakeholders. It emphasizes the use of documentation, style guides, and design systems to facilitate effective communication and ensure consistency in component development.
1.14. Serverless Architecture
Backend for Frontend (BFF)
Backend for Frontend (BFF) is a design pattern where a dedicated backend service is created for each frontend application. This approach allows tailoring the backend logic and APIs to the specific needs of a particular frontend, optimizing communication and data exchange between the frontend and backend.
Frontend for Backend (FFB) integrates admin panels into web applications, enabling frontend developers to manage and configure backend functionalities more efficiently. This approach adds a layer of frontend interfaces, essentially admin panels that directly interact with the backend.
Principles guide architects and developers in making design decisions when applying architectural patterns.
Separation of Concerns
Architectural patterns promote the separation of different concerns within a system, ensuring that each component or module is responsible for a specific set of tasks. This principle enhances modularity, simplifies understanding and maintenance, and enables independent development and testing.
Modularity
Architectural patterns emphasize modular design, where software systems are divided into smaller, self-contained units (modules, components, services) that can be developed, tested, and maintained independently. Modularity improves code reuse, facilitates collaboration, and simplifies system evolution.
Scalability
Architectural patterns consider scalability as a crucial aspect. They promote designs that enable systems to handle increased workloads efficiently. Scalability can be achieved through patterns like microservices, distributed computing, caching, and load balancing, ensuring that the system can grow to meet future demands.
Flexibility and Adaptability
Architectural patterns aim to create software systems that are flexible and adaptable to changes. They facilitate the separation of components, promote decoupling, and support the addition or modification of features without impacting the entire system. This principle enables systems to evolve over time and respond to changing requirements.
Reusability
Architectural patterns encourage the creation of reusable components and modules, reducing development time and effort. By abstracting common functionalities into reusable building blocks, patterns promote code sharing, consistency, and maintenance efficiency.
Testability
Architectural patterns prioritize testability by promoting designs that are easily testable at various levels (unit, integration, system). By separating concerns and dependencies, patterns enable developers to write focused and isolated tests, ensuring the reliability and quality of the software.
Performance and Efficiency
Architectural patterns consider performance and efficiency as key factors. They guide the design of systems that optimize resource utilization, minimize response times, and provide scalability. Patterns like caching, asynchronous processing, and distributed computing help improve system performance.
Security
Architectural patterns consider security as an integral aspect. They guide the design of systems with security measures such as authentication, authorization, encryption, and data protection. Patterns ensure that security concerns are addressed at various levels, including network communication, data storage, and user access.
Maintainability
Architectural patterns focus on creating software systems that are easy to maintain. They promote designs that facilitate code readability, modifiability, and troubleshooting. Patterns like layered architecture, clean code practices, and design patterns help ensure that the system remains maintainable over its lifecycle.
Interoperability
Architectural patterns address the need for interoperability between different components, services, or systems. They promote designs that adhere to standards, use well-defined interfaces, and support seamless integration. Patterns like service-oriented architecture (SOA) enable systems to communicate and collaborate effectively.
3. Best Practice
When applying architectural patterns, it is important to follow best practices to ensure successful implementation and achieve the desired outcomes.
Understand the Problem Domain
Gain a thorough understanding of the problem domain and the specific requirements before selecting and applying an architectural pattern. Consider factors such as scalability, performance, maintainability, and extensibility to choose the most appropriate pattern.
Modularity and Encapsulation
Emphasize modularity and encapsulation when designing components or modules. Clearly define their responsibilities and ensure that each component has a well-defined interface. This promotes code reusability, testability, and maintainability.
Follow Design Principles
Adhere to established design principles such as SOLID (Single Responsibility, Open-Closed, Liskov Substitution, Interface Segregation, Dependency Inversion), DRY (Don't Repeat Yourself), and KISS (Keep It Simple, Stupid). These principles guide clean and maintainable design and ensure the system is easy to understand and modify.
Separation of Concerns
Apply the principle of separation of concerns by clearly separating different responsibilities within the system. Use architectural patterns to achieve clear boundaries between components, such as separating user interface logic from business logic.
Document and Communicate
Document the chosen architectural patterns, design decisions, and their rationale. This documentation helps communicate the system's structure and design to stakeholders, team members, and future maintainers. Clear documentation facilitates better understanding, collaboration, and maintenance.
Consider Performance and Scalability
Evaluate and address performance and scalability requirements early in the design phase. Consider patterns like caching, load balancing, asynchronous processing, and distributed systems to ensure the system can handle anticipated workloads efficiently.
Ensure Testability
Design the system to be easily testable. Use patterns that enable unit testing, integration testing, and automated testing. Isolate dependencies, create mock objects, and design components with testability in mind to ensure comprehensive test coverage.
Address Security Concerns
Implement appropriate security measures based on the requirements and sensitivity of the system. Follow secure coding practices, apply encryption where necessary, implement access controls, and regularly update and patch components to address potential security vulnerabilities.
Monitor and Measure
Incorporate monitoring and measurement capabilities into the architecture to gather data on system performance, usage patterns, and potential bottlenecks. Use this data to make informed decisions for optimization, scalability, and future improvements.
Continuously Refactor and Improve
Architecture is not a one-time activity but an ongoing process. Regularly assess the system's design, identify areas for improvement, and refactor the codebase accordingly. Apply lessons learned from previous implementations and leverage emerging best practices to enhance the system's quality and maintainability.
4. Terminology
Software Architecture
Software architecture refers to the high-level structure and organization of a software system. It defines the components, relationships, and interactions between them, guiding the system's design and behavior.
Component
A component is a self-contained, modular unit within a software system. It encapsulates specific functionality and can be independently developed, tested, and deployed. Components often have well-defined interfaces and can be assembled to create larger systems.
Module
A module is a self-contained unit of code that performs a specific function or implements a set of related functions. Modules promote modularity, encapsulation, and code reusability.
Interface
An interface defines a contract or set of methods that a component or module exposes to other components or modules. It specifies how different parts of the system can interact and communicate with each other.
Dependency
A dependency is a relationship between two components or modules where one component relies on another to perform its functionality. Dependencies can be in the form of method calls, data access, or communication between components.
Decoupling
Decoupling refers to reducing dependencies between components or modules. It aims to make components independent of each other, allowing changes in one component to have minimal impact on others. Decoupling promotes modularity, testability, and maintainability.
Coupling
Coupling refers to the level of interdependence between components or modules. Tight coupling means that changes in one component can have a significant impact on others. Loose coupling means that components are relatively independent, making them easier to modify or replace.
Abstraction
Abstraction refers to hiding unnecessary implementation details and exposing only essential information. It helps simplify complexity, enhances modularity, and improves understandability.
Inheritance
Inheritance is a mechanism in object-oriented programming where a class (subclass) derives properties and behaviors from another class (superclass). It allows code reuse, promotes modularity, and supports polymorphism.
Polymorphism
Polymorphism refers to the ability of objects to take on multiple forms and behave differently based on their types. It allows different classes to implement the same interface or base class in different ways.
Encapsulation
Encapsulation is the practice of bundling data and related methods within a class or component, hiding internal implementation details. It promotes data protection, code modularity, and information hiding.
Architecture Style
An architecture style is a specific set of principles and guidelines that define the overall structure, behavior, and interaction patterns of a software system. Examples include client-server, layered, microservices, and event-driven architecture.
Pattern
A pattern is a reusable solution to a recurring problem. In software architecture, patterns provide proven approaches for designing specific aspects of a system, such as communication, data access, or system structure. Examples include MVC, MVVM, repository pattern, and observer pattern.
Refactoring
Refactoring is the process of restructuring existing code or system architecture to improve its internal structure without changing its external behavior. It aims to enhance code quality, maintainability, and understandability.
Scalability
Scalability refers to the ability of a system to handle increasing workloads and accommodate growing user demands. Scalable architectures allow systems to scale horizontally (adding more instances) or vertically (increasing resources of existing instances) without sacrificing performance.
Trade-off: A decision or compromise made when selecting an architectural pattern that involves balancing different factors or qualities. Trade-offs consider aspects such as performance, maintainability, scalability, development time, and system complexity.
Architectural Anti-pattern: A common design or implementation approach that initially seems appealing but results in negative consequences such as poor performance, maintainability issues, or scalability limitations. Architectural anti-patterns serve as warnings of what not to do in system design.
Software Architectural Patterns
Software architectural patterns are high-level design templates or solutions that provide a structured approach for organizing and designing software systems. Architectural patterns offer proven solutions to recurring design problems and help architects and developers build scalable, maintainable, and robust software applications.
1. Category
Distribution Patterns
1.1. MVC
MVC (Model-View-Controller) is a widely used architectural pattern for designing and developing software applications. It separates the concerns of data management, user interface, and application logic by dividing the application into three interconnected components: the Model, the View, and the Controller.
The MVC pattern has been adopted in various application frameworks and platforms, including web development frameworks (e.g., Ruby on Rails, ASP.NET MVC), desktop application frameworks (e.g., JavaFX), and mobile application frameworks (e.g., iOS, Android). It provides a structured and maintainable way to design and organize software applications.
Elements of MVC:
Model: The Model represents the data and the business logic of the application. It encapsulates the data structure, access methods, and rules for manipulating and managing the data. The Model component is responsible for maintaining the consistency and integrity of the data.
View: The View is responsible for presenting the user interface to the users. It displays the data from the Model in a format that is understandable and visually appealing to the users. The View component is passive and does not contain any business logic; it simply renders the data provided by the Model.
Controller: The Controller acts as an intermediary between the Model and the View. It receives input from the users through the View and initiates appropriate actions in the Model. It also listens for changes in the Model and updates the View accordingly. The Controller contains the application logic and coordinates the interaction between the Model and the View.
Benefits of MVC:
Separation of concerns: The MVC pattern promotes a clear separation between the data, the user interface, and the application logic. This separation makes the code more modular, maintainable, and testable.
Reusability: By separating the components, each part of the MVC pattern can be reused independently. For example, the same Model can be used with different Views or the same Controller logic can be used with different Models.
Scalability and maintainability: The MVC pattern provides a structured approach to development, making it easier to scale and maintain the application over time. Changes in one component, such as the data structure or user interface, can be made without affecting the other components.
Simultaneous development: The MVC pattern allows different teams or developers to work on different components simultaneously. The Model, View, and Controller can be developed and tested independently, speeding up the development process.
User interface flexibility: Since the View and Controller are decoupled from the Model, it is possible to have multiple Views for the same Model, each presenting the data in a different way. This flexibility allows for better customization and adaptation to different user interface requirements.
1.2. MVP
Model-View-Intent (MVI)
1.3. MVVM
Vertical Slice Architecture
N-Tier Architecture
Two-Tier Architecture
Three-Tier Architecture
Four-Tier Architecture
Five-Tier Architecture
Multi-Tier Architecture
Multi-Tier Architecture (N > 5)
1.4. Layered Architecture
1.5. Microservices
1.6. Clean Architecture
Notes:
This is a general structure, specific details may vary based on programming language and project needs.
The core layer should have minimal dependencies and be framework-independent.
The infra layer contains concrete implementations for databases, networks, and UI frameworks.
The presentation layer uses the core layer's use cases and adapts them for specific UI frameworks (Android, iOS, web, etc.).
Project Layout
1.7. Event-Driven Architecture
1.8. Hexagonal Architecture (Ports and Adapters)
Key Components:
core: Contains the heart of the application, the domain logic.
adapters: Implements the specific mechanisms for interacting with the outside world.
tests: Contains unit and integration tests for the application.
Project Layout
1.9. Service-Oriented Architecture (SOA)
1.10. Saga
Representation and Diagrams:
Project ├── README.md ├── data │ ├── domain1 │ │ ├── data1.csv │ │ ├── data2.json │ │ └── metadata.yaml │ ├── domain2 │ │ ├── data3.parquet │ │ ├── data4.hdf5 │ │ └── metadata.yaml │ └── domain3 │ ├── data5.sql │ ├── data6.xml │ └── metadata.yaml ├── docs │ ├── domain1.md │ ├── domain2.md │ └── domain3.md ├── src │ ├── domain1.py │ ├── domain2.py │ └── domain3.py └── tests ├── domain1_test.py ├── domain2_test.py └── domain3_test.py
project_root/ ├── domains/ │ ├── domain_1/ │ │ ├── data/ # Raw and curated data for domain_1 │ │ ├── pipelines/ # Scripts for data ingestion, transformation, validation │ │ ├── ownership/ # Documentation on data ownership, access control │ │ └── tests/ # Unit and integration tests for data pipelines │ ├── domain_2/ # Similar structure for other domains │ └── ... ├── infrastructure/ │ ├── orchestration/ # Tools for scheduling and managing data pipelines │ ├── storage/ # Configuration for data storage (e.g., data lake) │ └── monitoring/ # Tools for monitoring pipeline health and data quality ├── platform/ # Optional: Shared codebase for common data processing tasks │ └── ... ├── readme.md # Project overview, setup instructions ├── data_products/ # Optional: Location for curated data products │ └── ... └── tests/ # Integration tests for overall data mesh functionality
src/
: Contains the source code for the application.domain/
: Core domain logic resides here.<domain_context_1>
, etc.: Folders for each domain context (bounded contexts).entities/
: Holds entity classes representing domain concepts.value_objects/
: Stores value object classes for immutable data.repositories/
: Contains interfaces for accessing and persisting data.services/
: Houses domain logic operations (business rules).shared/
: Shared domain concepts used across multiple contexts.application/
: Handles application-specific logic.commands/
: Stores data structures for initiating actions.queries/
: Holds data structures for retrieving information.services/
: Contains application-level services orchestrating domain logic.infrastructure/
: Deals with persistence and external integrations.persistence/
: Implements persistence mechanisms (databases, message queues).presentation/
: Code for the user interface (web, console, etc.).tests/
: Contains unit and integration tests for the application.Project Layout
1.13. Component-Driven Development (CDD)
Component-Driven Development (CDD) is an approach to software development that emphasizes the construction of applications by composing modular, reusable components. It focuses on building and integrating self-contained, loosely coupled components as the primary building blocks of an application.
In CDD, the application is divided into smaller, independent components, each representing a distinct functionality or user interface element. These components can be developed, tested, and maintained independently, promoting code reusability and modular design. The components are typically designed to have well-defined interfaces, allowing them to be easily integrated into larger systems or used across multiple projects.
CDD encompasses the entire development lifecycle, from designing and implementing components to integrating them into larger systems. It promotes modularity, reusability, and scalability in software development, enabling teams to build applications more efficiently and maintainable by focusing on building and integrating reusable components.
Concepts of CDD:
Component-Based Architecture: CDD emphasizes the use of a component-based architecture, where components are the fundamental units of development, deployment, and composition. Components are self-contained entities that encapsulate specific functionality or user interface elements.
Reusability: Components in CDD are designed to be reusable across different parts of the application or even in different projects. This reusability reduces duplication of code and accelerates development by leveraging existing components.
Isolation and Independence: Components in CDD are developed in isolation, allowing them to be tested, maintained, and evolved independently. Each component has its own well-defined boundaries and dependencies, minimizing coupling with other components.
Component Libraries: Component libraries are collections of reusable components that adhere to a specific set of guidelines and standards. These libraries provide a repository of components that developers can leverage to build applications more efficiently.
Component Testing: Testing plays a crucial role in CDD. Components are tested in isolation to ensure their individual functionality and behavior. Additionally, integration tests are performed to verify the correct composition and interaction of components within the application.
Designing with Composability in Mind: Components in CDD are designed to be easily composed together to form larger applications. They provide well-defined interfaces and expose properties, events, and methods for interaction and customization.
Collaboration and Documentation: CDD encourages collaboration between designers, developers, and stakeholders. It emphasizes the use of documentation, style guides, and design systems to facilitate effective communication and ensure consistency in component development.
1.14. Serverless Architecture
Backend for Frontend (BFF)
Backend for Frontend (BFF) is a design pattern where a dedicated backend service is created for each frontend application. This approach allows tailoring the backend logic and APIs to the specific needs of a particular frontend, optimizing communication and data exchange between the frontend and backend.
Frontend for Backend (FFB)
Frontend for Backend (FFB) integrates admin panels into web applications, enabling frontend developers to manage and configure backend functionalities more efficiently. This approach adds a layer of frontend interfaces, essentially admin panels that directly interact with the backend.
Modular Monoliths
2. Principles
Principles guide architects and developers in making design decisions when applying architectural patterns.
Separation of Concerns
Modularity
Scalability
Flexibility and Adaptability
Reusability
Testability
Performance and Efficiency
Security
Maintainability
Interoperability
3. Best Practice
When applying architectural patterns, it is important to follow best practices to ensure successful implementation and achieve the desired outcomes.
Understand the Problem Domain
Modularity and Encapsulation
Follow Design Principles
Separation of Concerns
Document and Communicate
Consider Performance and Scalability
Ensure Testability
Address Security Concerns
Monitor and Measure
Continuously Refactor and Improve
4. Terminology
Software Architecture
Component
Module
Interface
Dependency
Decoupling
Coupling
Abstraction
Inheritance
Polymorphism
Encapsulation
Architecture Style
Pattern
Refactoring
Scalability
Trade-off: A decision or compromise made when selecting an architectural pattern that involves balancing different factors or qualities. Trade-offs consider aspects such as performance, maintainability, scalability, development time, and system complexity.
Architectural Anti-pattern: A common design or implementation approach that initially seems appealing but results in negative consequences such as poor performance, maintainability issues, or scalability limitations. Architectural anti-patterns serve as warnings of what not to do in system design.
5. References