
A solid software architecture is the foundation for long-term success. At ConSol, we design tailored solutions for your specific use case using a broad technology stack, ensuring your software is future-proof and high-performing to meet today's and tomorrow's challenges.
Christoph Ehlers
Head of Custom IT Solutions
| µSOA | SCS (Self-Contained System) | DDDD (Distributed Domain-driven Design | FaaS (Function as a Service) | |
|---|---|---|---|---|
Size | Very small | Medium, may consist of multiple smaller microservices, independent system (including data storage and UI) | Small | As small as possible (a few hundred lines), definition of the interface first, only possible if decomposition can be reached. |
Demarcation | One task (within a domain) | One domain | One bounded context / domain | One function |
Independence | Independent development of tasks | Independent development of domains | Independent development of bounded contexts / domains | Independent development of functions |
Communication | Mostly synchronous communication (REST), resilience for calls (e.g. Hystrix), often combined with streaming (e.g. Apache Kafka) | Lightweight integration (ideally via UI), can answer requests independently, asynchronous communication with other systems (if necessary) | Asynchronous communication (for better stability), business events, redundant data storage (CQRS) | Asynchronous communication, event-based |
Coupling | Orchestration for a common goal | Low coupling of domains | Bounded context, ubiquitous language, low coupling of the contexts | Collaboration for common goal, common interfaces, emergent behavior |
Team | 2-3 persons per microservice | 1 Scrum team per SCS as main team (but possibly also several Scrum teams for different Microservices with scaled Scrum | 1 Scrum team per system | 1-2 persons per function |
Infrastructure | Common infrastructure | No special infrastructure required | Common infrastructure for professional events | Dependence on common infrastructure |
Scalability | For very high scalability requirements | Good scalability | Good scalability | For extreme scalability requirements |
Examples | Netflix, Twitter | Amazon, Otto.de, Galeria Kaufhof | Serverless architecture, AWS Lambda, Azure Functions |
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Thomas Machata

