Software Architecture

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Last updated 2:56 AM on 3/13/25
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28 Terms

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Introduction to Software Architecture

Software architecture is the high-level structure of a software system that defines how different components interact. It acts as a blueprint that ensures software is scalable, maintainable, and efficient.

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Key Goals of Software Architecture

Organization of components

for clarity and efficiency.

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Key Goals of Software Architecture

Scalability

to handle future growth.

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Key Goals of Software Architecture

Security and maintainability

for long-term software success

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Key Components of Software Architecture

A. User Interface (UI) Layer

• The front-end that users interact with.

Ensures usability and accessibility.

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Key Components of Software Architecture

B. Business Logic Layer

Processes user requests and applies business rules.

Ensures the system performs the intended operations.

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C. Data Layer

Handles database management and data retrieval.

Stores user information, transactions, and settings.

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D. Security Layer

Ensures data protection and access control.

Implements encryption, authentication, and authorization.

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Why Software Architecture Matters

A well-structured architecture provides:

Performance

Scalability

Security

Maintainability

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4. Software Architecture Patterns

A. Layered Architecture (N-Tier Architecture)

  • Organizes software into layers: UI, Business Logic, Data, and Security.

  • Easier to modify individual layers without affecting the whole system.

  • Widely used in web applications.

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B. Client-Server Architecture

  • Separates clients (users) from servers (data processing).

  • Users interact with an application through a client, while a server handles requests.

  • Common in web-based applications.

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C. Microservices Architecture

  • Breaks the system into small, independent services.

  • Improves scalability and fault tolerance.

  • Each microservice can be updated without affecting the entire system.

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D. Event-Driven Architecture

  • Uses events to trigger system actions.

  • Improves responsiveness and scalability.

  • Common in real-time applications.

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5. Security Considerations in Software Architecture

A. Centralized Security Model

  • Stores all sensitive data in a single, highly protected location.

  • Reduces attack surface but may become a single point of failure.

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5. Security Considerations in Software Architecture

B. Distributed Security Model

Security is applied at multiple layers.

Less risk of total system compromise.

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Security Best Practices:

  • Data Encryption

  • Access Control

  • Regular Audits

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6. Architectural Design Considerations

Performance:

Will the system handle real-time data processing?

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6. Architectural Design Considerations

Scalability:

Can the system grow without performance issues?

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6. Architectural Design Considerations

Maintainability:

Can developers easily update and debug the system?

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6. Architectural Design Considerations

Security:

How will the system protect user data?

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7. Software Deployment and Delivery Models

A. On-Premise Deployment

  • Software is installed on company-owned servers.

  • Provides full control over security and data management.

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7. Software Deployment and Delivery Models

B. Cloud-Based Deployment

  • Hosted on cloud platforms like AWS, Azure, or Google Cloud.

  • Easier to scale and maintain.

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7. Software Deployment and Delivery Models

C. Hybrid Deployment

Combines on-premise and cloud environments.

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8. Future Trends in Software Architecture

Serverless Computing:

Developers run applications without managing servers (e.g., AWS Lambda).

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8. Future Trends in Software Architecture

AI-Driven Architectures:

Uses machine learning for automation and prediction.

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8. Future Trends in Software Architecture

Edge Computing:

Moves computation closer to users for real-time processing.

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8. Future Trends in Software Architecture

Quantum Computing Integration:

Future software will leverage quantum processing power.

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9. Conclusion: Why Software Architecture Matters

  • Software performs efficiently with minimal latency.

  • Systems remain scalable as user demand grows.

  • Security threats are minimized through encryption and authentication.

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