Layered Architecture
An architectural pattern that organizes systems into layers to promote modularity and separation of concerns.
Classification
- ComplexityMedium
- Impact areaTechnical
- Decision typeArchitectural
- Organizational maturityIntermediate
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Misunderstandings in layer definitions can lead to issues.
- Layers may not integrate properly.
- Excessive abstraction can impact performance.
- Use clear interfaces between layers.
- Document each layer thoroughly.
- Conduct regular code reviews.
I/O & resources
- Software Requirements
- Technology Stack
- Architecture Documentation
- Modular Software Solution
- Layer Documentation
- Improved User Experience
Description
The Layered Architecture is a well-established architectural pattern that divides systems into different layers, each with a specific responsibility. This pattern promotes modularity and allows for a clear separation of concerns, improving the maintainability and extensibility of software systems.
✔Benefits
- Increased Maintainability
- Improved Testability
- Easier Integration
✖Limitations
- Can lead to performance issues if not implemented correctly.
- Requires careful planning and design.
- Can increase complexity if too many layers are used.
Trade-offs
Metrics
- Maintenance Time
Time required to make changes to the architecture.
- Error Rate
Number of errors per 1000 lines of code.
- Response Time
Time taken to respond to user requests.
Examples & implementations
E-Commerce Platform by Example Inc.
Example Inc. developed a modular e-commerce platform based on a layered architecture to enhance maintainability and scalability.
Banking System by Financial Services Ltd.
Financial Services Ltd. implemented a layered banking system that allows a clear separation between business logic and data access layers.
CRM System by Customer Relations Inc.
Customer Relations Inc. developed a CRM system based on a layered architecture to facilitate the integration of third-party services.
Implementation steps
Gather and analyze requirements.
Select technology stack.
Define and document layers.
⚠️ Technical debt & bottlenecks
Technical debt
- Insufficient testing leads to unstable layers.
- Poor documentation causes misunderstandings.
- Technical debt due to outdated technologies.
Known bottlenecks
Misuse examples
- Ignoring layer boundaries.
- Merging layers without necessity.
- Insufficient testing between layers.
Typical traps
- Assuming that more layers are always better.
- Overlooking the importance of documentation.
- Neglecting communication within the team.
Required skills
Architectural drivers
Constraints
- • Technological constraints of the chosen stack.
- • Regulatory requirements for data processing.
- • Resource constraints within the team.