Altinn 3 Broker Capabilities and Features
Altinn 3 Broker Capabilities and Features
On this page:
This is work in progress
Value streams
Description TBD.
High-level summary of capabilities and features
Description: TBD
For further breakdown into features and more fine-granulated user stories, see https://github.com/orgs/Altinn/projects/54/views/11.
Non-functional requirements
Erik, TBD: Ref. / also see Altinn Studio NFRs.
Note: Information security , separate sectins
Performance Requirements:
High throughput to handle large volumes of data transactions efficiently.
Low latency in data processing and transmission.
Scalability:
Ability to scale up or down based on the demand and number of users.
Support for horizontal and vertical scaling strategies.
Availability and Reliability:
High availability, aiming for near 100% uptime.
Robust failover and redundancy mechanisms to ensure continuous operation.
Security:
Strong encryption for data in transit and at rest.
Comprehensive access control and authentication mechanisms.
Regular security audits and compliance with relevant data protection regulations (e.g., GDPR).
Maintainability and Upgradability:
Ease of maintenance and updates without significant downtime.
Modular design to facilitate updates and integration of new features.
Disaster Recovery and Data Backup:
Effective disaster recovery plan to handle system failures.
Regular data backups and secure storage solutions.
Usability:
User-friendly interface for both administrators and end-users.
Comprehensive documentation and user support.
Interoperability:
Compatibility with various data formats and systems used by businesses and government agencies.
APIs for integration with external systems and services.
Compliance and Legal Requirements:
Adherence to national and international standards and regulations.
Regular compliance audits and updates as per legal changes.
Monitoring and Logging:
Extensive monitoring of system performance and security.
Detailed logging of transactions and user activities for audit purposes.
Data Integrity and Quality:
Mechanisms to ensure the accuracy and consistency of data.
Validation checks to maintain data quality.
Load Balancing:
Effective distribution of workload across servers and resources.
Load balancing to optimize resource use and maximize throughput.
Environmental and Operational Conditions:
Designed to operate under the specified environmental conditions (e.g., data center temperature and humidity).
Consideration for operational conditions like power consumption and cooling requirements.