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4. Solution Strategy

Help: A short summary and explanation of the fundamental decisions and solution strategies that shape the system's architecture. These include:

  • Technology decisions
  • Decisions about the top-level decomposition of the system (e.g., use of an architectural pattern or design pattern)
  • Decisions on how to achieve key quality goals
  • Relevant organizational decisions (e.g., selecting a development process or delegating certain tasks to third parties)

Motivation: These decisions form the cornerstones for your architecture. They are the basis for many other detailed decisions or implementation rules.

Form: Keep the explanation of these key decisions short. Motivate what was decided and why it was decided that way. Refer to Section 9 for more detailed architecture decision records.


4.1 Technology Decisions

Help: Capture the key technology choices and the reasoning behind them. These are the foundational technology picks that define the technical landscape of the system.

Decision Choice Rationale
\<Programming Language> \<e.g., TypeScript> \<Team expertise, type safety, ecosystem>
\<Application Framework> \<e.g., Spring Boot> \<Production-proven, enterprise support, team familiarity>
\<Database> \<e.g., PostgreSQL> \<ACID compliance, JSON support, corporate standard>
\<Messaging> \<e.g., Apache Kafka> \<High throughput, durability, event sourcing support>
\<Container Orchestration> \<e.g., Kubernetes> \<Scalability, self-healing, industry standard>
\<API Gateway> \<e.g., Kong> \<Rate limiting, authentication, corporate standard>

4.2 Top-Level Decomposition

Help: Describe the approach used to decompose the system at the highest level. Which architectural patterns or styles were chosen and why?

Architectural Style

\<Describe the chosen architectural style (e.g., microservices, modular monolith, event-driven, layered, hexagonal) and the primary reasons for choosing it.>

Key Design Patterns

Pattern Applied Where Rationale
\<e.g., CQRS> \<Order processing> \<Separate read/write concerns for scalability>
\<e.g., Event Sourcing> \<Audit trail> \<Full history of state changes required>
\<e.g., API Gateway> \<External access> \<Single entry point, cross-cutting concerns>
\<e.g., Circuit Breaker> \<External integrations> \<Resilience against downstream failures>
\<e.g., Saga> \<Distributed transactions> \<Consistency across service boundaries>

4.3 Approaches to Achieve Quality Goals

Help: Map each top quality goal (from Section 1.2) to the architectural approach chosen to satisfy it.

Quality Goal Architectural Approach Details
\<Performance> \<Caching, async processing> \<Redis caching layer, message queue for heavy operations>
\<Availability> \<Redundancy, health checks> \<Multi-AZ deployment, liveness/readiness probes>
\<Modifiability> \<Loose coupling, interfaces> \<Domain-driven boundaries, contract-first API design>
\<Security> \<Defense in depth> \<OAuth 2.0, TLS, input validation, WAF>
\<Testability> \<Dependency injection, ports/adapters> \<Hexagonal architecture enables isolated testing>

4.4 Organizational Decisions

Help: Document relevant organizational decisions that affect the architecture, such as development methodology, team topology, build/deploy process, or third-party involvement.

Decision Choice Rationale
\<Development Process> \<e.g., Scrum with 2-week sprints> \<Iterative delivery, stakeholder feedback>
\<CI/CD Strategy> \<e.g., GitLab CI with automated pipelines> \<Fast feedback, consistent deployments>
\<Code Review> \<e.g., Mandatory MR reviews by 2 reviewers> \<Quality assurance, knowledge sharing>
\<Third-Party Services> \<e.g., Auth0 for identity management> \<Reduce build effort, industry-standard security>
\<Monitoring> \<e.g., Datadog APM + ELK Stack> \<Full observability across services>

Based on the arc42 architecture template (https://arc42.org).
Created by Dr. Peter Hruschka and Dr. Gernot Starke.
Licensed under CC BY-SA 4.0.