The TITAN platform, designed to tackle complex issues like disinformation and critical thinking, is built on a robust technical framework that aligns user needs with high-performance solutions. As the platform evolves, several key technical requirements have been identified and iteratively reviewed to ensure that it remains scalable, secure, and user-friendly. This blog delves into the technical architecture of TITAN, focusing on privacy, scalability, and performance, among other essential non-functional requirements.
Common Design Concepts
Privacy by Design (PbD)
Privacy by Design is a core principle in the TITAN platform, ensuring that user privacy is embedded into the platform from the earliest stages of development. PbD aims to proactively safeguard user data rather than reacting to privacy breaches after they occur. Key principles include:
Proactive Approach: Anticipating and preventing data breaches through built-in safeguards.
Privacy as the Default Setting: Ensuring maximum privacy protection for users without requiring additional actions.
End-to-End Security: Implementing strong security measures throughout the data lifecycle—from collection to disposal.
Transparency and User Control: Offering clear information on data usage and providing users with control over their personal data.
This approach ensures that privacy considerations are an integral part of every phase of development, making TITAN a secure platform for all users.
Microservice Architecture
TITAN utilises a Microservice Architecture, which breaks down complex systems into smaller, independently deployable services. Each microservice handles a specific business function, allowing flexibility in development, deployment, and scaling. Key advantages include:
Scalability: Individual services can be scaled independently, optimising system performance.
Fault Isolation: If one microservice fails, the rest of the system remains unaffected, ensuring resilience.
Technology Flexibility: Teams can use the most suitable technologies for each microservice, promoting innovation and efficiency.
Parallel Development: Different teams can work on separate services, speeding up development cycles.
This modular design makes TITAN a flexible and scalable solution that can adapt to future needs and changes in technology.
General Technical Requirements
In addition to design principles, TITAN addresses a variety of general technical requirements aimed at enhancing the platform’s performance, scalability, and security. These requirements have been thoroughly reviewed to ensure the platform meets the needs of its diverse user base.
Reliability
High Mean Time Between Failures (MTBF): TITAN is designed to have minimal downtime, ensuring continuous operation.
Robust Error Handling: Comprehensive error management prevents system crashes and maintains stability.
Resilience and Redundancy: Built-in redundancy and failover mechanisms ensure the platform continues running even during failures.
Availability
High Uptime: With a target of 99% availability, TITAN ensures that the platform is almost always accessible to users.
Quick Recovery: In case of system failure, recovery mechanisms are in place to restore services quickly.
Monitoring
Real-time monitoring tools track performance metrics and detect potential issues, providing insights for optimising the system’s reliability and availability.
Data and System Integrity
To maintain data integrity and system reliability, TITAN incorporates:
Regular Backups: Scheduled data backups ensure that critical information can be restored quickly in case of failure.
Modularity through APIs and Microservices: The use of APIs and microservices enhances flexibility and scalability.
Tailored Data Storage Solutions: TITAN leverages both relational and NoSQL databases to handle diverse data types efficiently.
Security
Security is a top priority for TITAN, with robust measures implemented to protect user data:
Encryption: Both data at rest and in transit are encrypted using strong algorithms.
Secure User Authentication: Multi-factor authentication (MFA) adds an extra layer of security.
Access Controls: Role-based access control (RBAC) restricts access to sensitive data based on user roles.
Compliance with Regulations: TITAN complies with international data protection laws like GDPR, ensuring that data is handled appropriately across regions.
Auditability
To ensure transparency and accountability, TITAN includes detailed logging and monitoring capabilities:
Data Collection Documentation: All datasets used for AI training are documented, including preprocessing steps and transformations.
Model Versioning: Version control for AI models ensures that any updates or changes are well-documented and tracked.
Deployability
TITAN’s modular design enhances its deployability, allowing for seamless integration with other systems:
Scalability: The platform is designed to scale both horizontally and vertically, ensuring it can handle increasing user loads.
User-Friendly Interfaces: The platform features intuitive interfaces, enhancing usability for a wide range of users.
The TITAN platform’s technical requirements have been meticulously designed to ensure the platform is scalable, reliable, and secure. From adopting a Privacy by Design approach to implementing a Microservice Architecture, TITAN remains focused on creating a user-centered, future-proof platform. By addressing critical non-functional requirements such as performance, availability, and security, TITAN ensures that it can meet the needs of its users while adapting to the ever-evolving landscape of technology.
Read more in our architecture report (D1.4) here.
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