Main features and functionality
• Requirements and domain model analysis
In-depth study of the customer's business processes.
Designing domain contexts according to DDD (Domain Driven Design).
• Micro services and SOA design
Splitting the monolith into micro services with clear boundaries of responsibility.
Building a service-oriented architecture (SOA) for enterprise systems.
• API Gateway and Contract Management
Configuring the Gateway API for routing, authentication, and version control.
Documentation and validation of API contracts (Open API/Swagger).
• Designing event flows
Implementation of an Event Driven approach using message brokers.
Designing CQRS and Event Sourcing for complex scenarios.
• Quality and safety management
Selection of fault tolerance patterns (Circuit Breaker, Bulkhead).
Integration of security standards (OAuth2, Open ID Connect, JWT).
• Documentation and prototyping
Generation of architectural diagrams (C4, UML).
Rapid prototypes of key components for validating concepts.
Technologies used
• Micro services & SOA: Spring Cloud, Quarkus, .NET Core, Apache Camel
• API Gateway: Kong, AWS API Gateway, NGINX Plus, Zuul
• Domain Driven Design: EventStorming, Context Mapping, Aggregates
• Messaging & Eventing: Apache Kafka, RabbitMQ, AWS SNS/SQS
• Containerization and orchestration: Docker, Kubernetes, Helm
• Service Mesh: Istio, Linkerd
• Infrastructure as code: Terraform, Ansible, Pulumi
Target audience and customer segments
• Startups: they need a flexible architecture that is ready for rapid growth and
frequent changes in requirements.
• System integrators: implement complex projects with many external systems and services.
• Large IT companies: upgrading outdated monoliths and building a unified corporate
architecture.
Development and integration opportunities
• Cloud ecosystems Deep integration with AWS, Azure, GCP: auto scaling services,
service buses, FaaS.
• DevOps and CI/CD Embedding of architectural checks in Jenkins, GitLab CI, and GitHub Actions
pipelines.
• Platform solutions Transition to PaaS/CaaS using OpenShift, Cloud Foundry.
• AI support for architects, Machine learning-based architectural pattern analysis tools.
• Enterprise Architecture Frameworks Implementation of TOGAF, Zachman practices for strategic
management of the IT landscape.
Conclusion
AIS Sokol Architectural Design provides solid technological foundation that
allows quickly adapt to market changes and scale solutions without loss of quality. The combination of
best practices of DDD, micro services, SOA and API-oriented approach ensures long-term efficiency and
predictability of IT product development.