Technologies and standards
Sound technology. Engineering with judgement.
We combine established technologies, software architecture and engineering practices to build maintainable, scalable enterprise systems ready to evolve.
Every choice starts with business requirements, system constraints and the balance between benefits and technical costs.
Explore our servicesFrom context to solution
Security · Quality · Observability
Backend engineering and the .NET ecosystem
C# and modern .NET as a foundation for enterprise applications, integration services and reliable data processing.
We choose data access and execution models according to each system's queries, transactions and performance requirements.
Services and contracts
ASP.NET Core and REST APIs with explicit contracts for integrating systems and separating business logic from interfaces.
Persistence
SQL Server, Entity Framework Core and Dapper: abstraction, query control and maintainability according to the use case.
Asynchronous processing
Background tasks and asynchronous workloads with error handling, retries and idempotency suited to the process.
Software architecture and design
Clear boundaries, controlled dependencies and integration contracts that make the system easier to understand and evolve.
DDD, CQRS and microservices are not default requirements. Their adoption must justify the added complexity in relation to the domain, operations and business needs.
Domain and modularity
Domain-Driven Design (DDD) where domain complexity requires it; modular architecture and separation of responsibilities to define capability boundaries.
Design and dependencies
Clean Architecture and SOLID to guide dependencies, make contracts explicit and isolate infrastructure details.
Distribution with judgement
CQRS to separate reads and writes where useful; event-driven architecture and microservices where autonomy, scale and operational requirements justify them.
Microsoft Azure and cloud architectures
Azure is our primary cloud specialization. We design the platform with workload, security and operating cost in mind.
We prioritize services that fit system constraints and the team's operational capacity, avoiding unnecessary infrastructure complexity.
Application hosting
Azure App Service, Azure Functions and Static Web Apps according to application type, execution model and deployment requirements.
Integration and data
Azure Service Bus for messaging and event-driven workflows; Azure SQL and Azure Storage according to persistence and access requirements.
Identity and security
Microsoft Entra ID, managed identities and Azure Key Vault for identity, access controls, secrets and secure configuration.
Monitoring
Azure Monitor and Application Insights to correlate logs, metrics and distributed traces and support diagnosis.
Kubernetes and Infrastructure as Code
Version-controlled applications, deployment configuration and infrastructure: a shared foundation for reviewing changes and validating environments automatically.
Kubernetes is considered when its capabilities outweigh its operational cost. Version-controlled definitions and infrastructure plans allow scope to be reviewed before controlled changes are applied.
Containers with Docker
Containerized backend workloads, image management and reproducible configurations for consistency between environments.
Orchestration with Kubernetes and Helm
Workload configuration, health probes, rolling deployments and secret/configuration integration through reviewable manifests and charts.
Infrastructure with Terraform
Reusable modules, environment-specific configuration, validation and change planning; reviewing drift between definitions and actual infrastructure state.
Automation and alternatives
Git and automated validation for code, infrastructure and deployments. Bicep where an Azure-specific definition better fits the context.
DevOps and engineering quality
Delivery practices that help detect defects earlier, reduce manual intervention and maintain technical traceability as software evolves.
Controls adapt to each change's risk. Testing and observability provide evidence for decisions, without promising to eliminate every defect.
Integration and quality
Git and Azure DevOps with automated builds, Pull Request validation and quality controls. Unit and integration tests; TDD where it helps guide design.
Controlled delivery
CI/CD pipelines, deployment approvals and delivery across multiple environments to make releases repeatable and record changes.
Observability and evolution
Logs, metrics and traces to understand system behavior, investigate failures and guide improvements to maintainability and operations.
Engineering principles
Principles matter as much as tools.
Criteria that guide design, implementation and operational decisions.
Justified simplicity
Add complexity only when it addresses a specific need and its cost can be supported.
Maintainability
Understandable code and decisions so the team can maintain and evolve the system.
Verifiable quality
Automated tests, reviews and controls that provide evidence for each change.
Security by design
Identity, least privilege, secret management and secure configuration from the earliest decisions.
Observability
Useful signals for understanding application behavior and diagnosing operational failures.
Incremental evolution
Modernize through bounded, measurable and reviewable changes with controlled risk.
Technical judgement
We do not choose technologies because they are fashionable.
We assess requirements, constraints, operating cost, maintainability and capacity to evolve before defining a solution.
- Functional and non-functional requirements
- Existing technology ecosystem
- Team capabilities
- Operational complexity
- Security and compliance
- Scalability
- Long-term maintenance
- Total cost of ownership
Do you need to review your technology architecture?
We analyze your technical context to identify improvements, risks and opportunities for evolution.