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# Software Architecture Design Document Template (SAD) ## 1. Introduction ### 1.1 Purpose The purpose of this document is to provide a comprehensive and formal description of the software architecture for **[System Name]**. It defines the high-level structure, components, and relationships of the system, addressing the key concerns of project stakeholders. This document serves as a blueprint for all development activities and a guide for understanding the system's design principles, constraints, and trade-offs. ### 1.2 Scope This document covers the architectural design of the **[System Name]** software, which aims to **[briefly describe the system's purpose]**. The architecture is described through a set of defined views, chosen to address specific stakeholder concerns. This document does not delve into low-level implementation details, which will be covered in a separate Software Design Description (SDD). ### 1.3 Definitions, Acronyms, and Abbreviations | Term | Definition | | :--- | :--- | | **SAD** | Software Architecture Design Document | | **SRS** | Software Requirements Specification | | **Viewpoint** | A specification of the conventions for constructing and using a view. | | **Concern** | An interest that a stakeholder has in a system. | | **API** | Application Programming Interface | | [Add more terms as needed] | | ### 1.4 References * **[Document 1 Title]**: [e.g., "Software Requirements Specification for Product X"] * **[Document 2 Title]**: [e.g., "Project Plan"] * **ISO/IEC/IEEE 42010:2011**: Systems and software engineering - Architecture description. --- ## 2. Architectural Representation ### 2.1 Stakeholders and Concerns The following table maps key stakeholders to their primary concerns, which this architectural description will address. | Stakeholder | Primary Concerns | | :--- | :--- | | **Product Manager** | Business value, features, cost, time-to-market. | | **Developers** | Technology choices, component interactions, APIs, maintainability. | | **System Administrators** | Deployment, scalability, performance, monitoring, security. | | **QA/Testers** | Testability, reliability, behavior under load. | | **Security Team** | Data protection, access control, threat mitigation. | ### 2.2 Architectural Views The architecture will be described using the following views, each chosen to address specific stakeholder concerns: * **Logical View**: Addresses developer and product manager concerns by showing the system's functional decomposition. * **Process View**: Addresses developer and administrator concerns by detailing the runtime structure and concurrency. * **Deployment View**: Addresses administrator concerns by mapping software to physical hardware and infrastructure. * **Data View**: Addresses developer and data specialist concerns by describing the data architecture. --- ## 3. Architectural Goals and Constraints ### 3.1 Business Goals The architecture is designed to support the following business objectives: * **[Goal 1]**: [e.g., "Enable rapid iteration and feature delivery."] * **[Goal 2]**: [e.g., "Achieve a high level of availability to minimize service disruption."] * **[Goal 3]**: [e.g., "Ensure a secure platform for handling sensitive customer data."] ### 3.2 Quality Attributes (Non-Functional Requirements) The architecture is specifically designed to meet the following non-functional requirements: * **Performance**: The system must achieve a p95 response time of under **[500ms]** for all critical API calls. * **Scalability**: The system must be able to scale horizontally to handle a **[3x]** increase in user traffic over the next year. * **Security**: All customer data must be encrypted both in transit and at rest. * **Availability**: The system must maintain a **[99.99%]** uptime. ### 3.3 Design Constraints The architectural design is subject to the following constraints: * **Technology**: The primary technology stack must be **[e.g., Python, AWS, PostgreSQL]**. * **Budget**: The monthly cloud hosting cost must not exceed **[$X,XXX]**. * **Legacy Integration**: The new system must be able to securely read data from the existing **[e.g., legacy mainframe system]**. --- ## 4. Architectural Views ### 4.1 Logical View (Component Diagram) This view shows the system's primary components, their responsibilities, and the main interactions between them. ![Logical View Diagram](https://example.com/logical-view.png) * **[Component A]**: [e.g., "User Management Service"] - Manages all user-related data and authentication. * **[Component B]**: [e.g., "Catalog Service"] - Manages product information and inventory. * **[Component C]**: [e.g., "Order Service"] - Handles the business logic for processing and fulfilling orders. * **[Component D]**: [e.g., "Payment Gateway Adapter"] - An interface to a third-party payment processor. ### 4.2 Process View This view describes the runtime structure of the system, detailing how components interact and manage concurrency. ![Process View Diagram](https://example.com/process-view.png) * **Concurrency**: The system will use a multi-process, multi-threaded model. Each service will be a separate process, and each process will use multiple threads to handle concurrent requests. * **Inter-Process Communication**: Communication between services will be handled via **[e.g., RESTful APIs, asynchronous message queues (RabbitMQ)]**. ### 4.3 Deployment View This view illustrates how the software components are physically deployed onto the hardware infrastructure. ![Deployment View Diagram](https://example.com/deployment-view.png) * **Infrastructure**: The system will be hosted on **[e.g., AWS]**. * **Deployment Strategy**: Each service will be containerized using Docker and orchestrated by Kubernetes for automated scaling and management. * **Load Balancing**: An Elastic Load Balancer (ELB) will distribute incoming traffic across multiple service instances. ### 4.4 Data View This view describes the system's data architecture, including data stores and their relationships. ![Data View Diagram](https://example.com/data-view.png) * **Data Stores**: * **[Data Store 1]**: [e.g., "PostgreSQL Database"] - Used for storing structured, relational data such as user and order information. * **[Data Store 2]**: [e.g., "Redis Cache"] - Used for in-memory caching of frequently accessed data to improve performance. --- ## 5. Architectural Decisions ### 5.1 Key Decisions and Rationale * **Decision**: To adopt a **microservices** architectural style. * **Rationale**: This approach addresses the scalability and maintainability goals by allowing services to be developed, deployed, and scaled independently. It also provides fault isolation. * **Decision**: To use **[RabbitMQ]** for asynchronous communication between services. * **Rationale**: This decision supports the performance and reliability goals by decoupling services, allowing them to process tasks without waiting for immediate responses. ### 5.2 Design Alternatives and Trade-offs * **Alternative**: A monolithic architecture was considered. * **Trade-offs**: While a monolith would be simpler to develop and deploy initially, it would not meet the long-term scalability and maintainability goals. Changes to one part of the system would risk affecting the entire application. --- ## 6. Architectural Policies and Patterns ### 6.1 System-Wide Policies * **Error Handling**: All services must use a standard logging library and log errors to a centralized log management system (e.g., ELK Stack). * **Security**: All APIs must be protected with an authentication and authorization layer. Secrets (e.g., API keys, database passwords) must be stored in a secure vault (e.g., AWS Secrets Manager). ### 6.2 Design Patterns * **[Pattern 1]**: [e.g., "Circuit Breaker"] - Applied to inter-service calls to prevent cascading failures. * **[Pattern 2]**: [e.g., "Saga Pattern"] - Used for managing distributed transactions across multiple services. --- ## 7. Appendices (Optional) ### 7.1 Requirements Traceability Matrix A matrix linking the architectural components and decisions to the specific requirements they fulfill. ### 7.2 Detailed Diagrams Additional detailed diagrams, such as sequence diagrams for critical user flows or class diagrams for core data models.

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