Institutional Technical Fact Sheet: Capabilities & Technology Stack

1. Software Architectures and Design Patterns

We design and implement systems tailored to the scale and operational needs of each client, ensuring maintainability and performance.

1.1 Deployment Models (Software Architectures)

• Monolithic Architectures:
  Development of applications where all components (interface, business logic, and data access) run as a single unified system.
• Microservices Architecture:
  Scalable and distributed cloud deployments where each functionality operates as an independent service.

1.2 Structural Design Patterns

• MVC Model (Model-View-Controller):
  A code design pattern that separates information, user interface, and business logic.
• Frontend / Backend Decoupling:
  Total separation of the visual layer and the server through the use of APIs (RESTful or GraphQL).

2. Core Programming Languages

Deep expertise in object-oriented, functional, and scripting programming languages.

• JavaScript / TypeScript: Primary language for modern full-stack development and strict typing.
• Java: For mission-critical enterprise systems and high concurrency.
• C# / .NET: Microsoft's corporate ecosystem.
• Python: Multi-purpose language used for high-performance backend and AI.
• PHP: Agile web development and CMS integration.

3. Development Frameworks and Ecosystems

3.1 Backend Environments and Frameworks

• Node.js & NestJS: Asynchronous runtime and progressive TypeScript-based framework for scalable APIs.
• Spring Boot (Java): Ecosystem for the rapid creation of microservices.
• .NET (C#): Development of robust APIs within the Microsoft ecosystem.
• Django (Python): Fast, secure, and scalable backend development.
• Laravel & Symfony (PHP): Structured construction of web platforms using MVC.

3.2 Frontend Frameworks and Libraries

• React: Development of dynamic user interfaces (SPA).
• Angular: Robust framework ideal for administration panels.
• Vue.js: Progressive, lightweight ecosystem for modern interfaces.
• Bootstrap: Agile creation of responsive and mobile-first designs.

4. Databases and Storage

4.1 Relational Databases (SQL)

• Oracle Database & SQL Server: For massive, high-availability corporate environments.
• PostgreSQL: The most advanced and robust open-source engine.
• MySQL: Stability and speed for web applications.

4.2 Portable and Embedded Databases

• SQLite: Lightweight storage embedded in applications.
• Microsoft Access: Integration with office tools.

4.3 Non-Relational Databases (NoSQL)

• MongoDB: Document-oriented databases for dynamic schemas.
• Firebase: Real-time data synchronization and rapid deployment.
• Elasticsearch: Search engine and distributed analytics for ultra-fast searches.

5. Cybersecurity and Data Protection

5.1 Technical Cybersecurity

• API Protection: Implementation of JWT, OAuth2, and strict CORS policies.
• Perimeter Defense: Prevention of SQL injections, XSS attacks, CSRF, and DDoS.
• Cryptography: Password encryption and forced communications under TLS/SSL.
• Vulnerability Auditing: Proactive scanning and security incident management.

5.2 Regulatory Compliance (GDPR/LOPDP)

• Privacy by Design: Architecture conceived from day zero to protect user's data.
• ARCO+ Rights Management: Implementation of interfaces for access, rectification, cancellation, and opposition.
• Traceability and Logs: Strict auditing of accesses for forensic reports.
• Consent Management: Irrefutable and explicit capture of user consent.