concept#Architecture#Software Engineering#Integration

System Structure

Describes the static and logical organization of a system into components, interfaces and interaction patterns for structured design and communication.

System Structure describes the static and logical organization of a software system, including components, interfaces and interaction patterns.

Maturity

Established

Cognitive loadMedium

Classification

ComplexityMedium
Impact areaTechnical
Decision typeArchitectural
Organizational maturityIntermediate

Technical context

Integrations

CI/CD pipeline (e.g. Jenkins, GitHub Actions)Observability tooling (monitoring, tracing)API gateways and service meshes

Principles & goals

Principles

Clear separation of responsibilities along domainsExplicit interfaces and contract-based communicationMinimize coupling, maximize cohesion

Value stream stage

Build

Organizational level

Enterprise, Domain, Team

Use cases & scenarios

Use cases

Scenarios

Compromises

Risks

Wrong boundaries lead to increased coupling effort
Unclear ownership causes delays in changes
Excessive simplification overlooks operational requirements

Best practices

Document assumptions, boundaries and open questions explicitly
Use standardized representations (e.g. component, sequence diagrams)
Conduct regular architecture reviews and technical retrospectives

I/O & resources

Inputs

Business requirements and domain model
Existing system documentation and codebase
Operational requirements (availability, performance)

Outputs

Architecture documents and component diagrams
Contract specifications for interfaces
Recommendations for deployment and operations models

Resources

Description

System Structure describes the static and logical organization of a software system, including components, interfaces and interaction patterns. It provides an abstract model for system design and decision-making regarding boundaries, responsibilities and deployment levels. It supports documentation, architectural reviews and team alignment.

✔Benefits

Improved maintainability through clear structure
Better team alignment and responsibility assignment
Facilitates scaling and targeted optimizations

✖Limitations

Initial coordination and documentation effort
Can introduce overhead if decomposed too finely
Not all runtime aspects are visible statically

Trade-offs

Metrics

Number of interface changes
Measures how often APIs/interfaces are changed; indicator of structural stability.
Time to deploy a component
Time from commit to production deployment of a component; measures deploy autonomy.
Fault propagation across components
Share of incidents affecting multiple components; indicator of coupling.

Examples & implementations

Monolith to modular architecture

Splitting a large monolith into clearly bounded modules with defined interfaces.

Layered architecture for business application

Use of layered model (presentation, domain, persistence) to separate concerns.

Microservices with clear API boundaries

Definition of service boundaries, data ownership and communication patterns for microservices.

Implementation steps

Analyze existing architecture and collect relevant artifacts

Define core components, interfaces and responsibilities

Create architecture documents and review with stakeholders

Establish governance and decision processes for future changes

⚠️ Technical debt & bottlenecks

Technical debt

Legacy monolith modules without clear interfaces
Non-versioned APIs in production
Missing observability in critical paths

Known bottlenecks

Tight couplingDeployment pipeline bottleneckCross-team coordination

Misuse examples

Complete module split without considering ops-related requirements
Setting architecture solely based on individual developers' technical preferences
Documentation becomes outdated and is not maintained

Typical traps

Neglecting non-functional requirements
Too many exceptions without governance lead to inconsistencies
Unclear ownership of interfaces

Required skills

Software architecture and modelingInterface design and API governanceCommunication and facilitation across teams

Architectural drivers

Scalability for load spikesFast delivery and independent deploysMaintainability and clear responsibility boundaries

Constraints

• Existing legacy components may enforce boundaries
• Regulatory requirements on data residency
• Limited resources for comprehensive restructuring