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Cogynt v2.9 Release Notes

· 5 min read

Cogility is excited to announce that Cogynt version 2.9 will be generally available for both AWS and GCP customers as of April 2023. Please see what's new below.

If you'd like more information, or want to have your Cogynt instance updated, please contact us.

Authoring​

Authoring Experience Improvements​

  • Users are now required to specify when partitions are not desired in a pattern. This will prevent users from deploying incomplete patterns with missing partitions, which can potentially cause serious data corruption.
  • Partials support has been removed in favor of using multiplicity.
  • These changes help Data Scientists and SMEs follow best practices and catch mistakes earlier in the modeling phase.

Risk Filter​

  • A risk threshold can be applied to patterns with risk analysis implemented, reducing bloat from unwanted or unimportant data.
  • The filter adds a new dimension and increased flexibility and control in risk analysis.

Optimized Performance​

  • Improved array serialization to boost array processing efficiency in Flink jobs.
  • Reduced project and modeling component export file size and improved export/import speed.
  • Optimized Flink state storage by removing unnecessary storage of unused fields and metadata, which in turn boosts checkpointing performance.

Deployment Configuration UI Upgrade​

  • Flink configurations are now displayed with user-friendly and intuitive labels.
  • Tooltips clearly describe the purpose of each configuration, and provide guidance on what input values to type in.

Other User Experience Improvements and Bug Fixes​

  • When viewing the lexicon, right-clicking opens an actions menu.
  • The deployment stop button has been updated for consistency with industry standards, making buttons more recognizable.
  • Improved deployment status UI accuracy and stability.
  • More improvements and bug fixes have been added to improve the authoring experience.

Data Management Tool​

S3 Data Connectors for CSV Files​

  • Data Scientists and SMEs can now create and manage CSV to S3 connectors through a dedicated UI and tool in the Cogynt Data Management Tool.
  • Users can start, pause, stop, and reuse connectors to manage their data pipeline from S3 buckets.
  • Users can now map fields from CSV headers or columns to a target field in a user schema from a project.
  • An added layer of data validation ensures preservation of data integrity.
  • Previously, users established this connection via Confluent Control Center, where a JSON file is configured and uploaded manually. Having a dedicated UI to help build and manage connectors improves the usability of the custom CSV to S3 connectors.

Optimized Performance​

  • Support multi-byte character in CSV S3 connector.

Support for JSON Files in an S3 Location​

Note

This feature is only available in Confluent Control Center.

  • Data Scientists and Data Engineers may establish a connector for JSON files stored in AWS S3.
  • These users establish the connector for the Confluent Control Center.
  • This allows Data Engineers to make JSON files available to Authoring Tool users on a production scale.

User Management​

  • The "super admin" role now appears on the list of roles as a "read only" role.
  • Any current "super admin" can now assign or revoke this role for additional users.
  • In the rare case that the authentication provider is changed for a cluster, the first user that logs in using the new authentication provider is automatically delegated as the "super admin."
  • The changes allow users more control over the "super admin" role and prevent scenarios where the "super admin" role is locked out.

Workstation​

Major Improvements to Collections Widget​

The Cogility Team has re-imagined Collection Comments and Custom Fields. These benefits make it easier to collaborate and write lengthy, detailed reports.

Comment Improvements​

  • Collection Notes are retitled as "Comments."
  • The comments user interface is now easier to use and digest.

Custom Field Improvements​

  • Analysts may now edit an individual field just by clicking on it, rather than by clicking an Edit icon that changes every field to editable.
  • The UIs of all custom fields have been reworked.
  • "Rich Text" fields are now available:
    • Allows analysts to write out information with up to 50,000 characters.
    • Analysts may add style and formatting to their text.
    • These fields are exportable to PDF using the Report Builder templates.

Events Stream Widget User Experience Improvements​

  • The UI now hides the Core ID field and adds a Reset button that hides manually toggled fields.
  • This improves the analyst's ability to investigate events by surfacing only the most relevant fields.

Event Detail Templates are Manageable by All Analysts​

  • Any user with access to Designer > Event Detail Templates may view any event detail template. Previously, only the author of a template could manage it.
  • Analysts can leverage all available templates to better understand the underlying details of an event.

Notifications Explorer Widget Loading Message Improvement​

  • Created a new loading message for the Notifications Explorer.
  • It is now clearer to the analyst when events are simply loading, instead of no events being returned.
  • Spacing slider functionality has been improved.
  • Retention to link chart settings has been added.
  • These improvements allow analysts to better control the display of knowledge graphs and retain their settings.

Other Bug Fixes and Improvements​

  • Custom Field single selection and checkbox fields with many options are now scrollable.
  • Switched map provider, resulting in increased performance and stability.

Audit Viewer​

Several new actions are now logged or have been enhanced in the Audit Viewer and the _cogynt_audit_log Kafka topic. For more information, see Logged Actions in the Audit Viewer User Guide.

Authoring​

  • Enhanced and additional logs for Flink deployments.
  • Logging for projects.
  • Logging for user data schemas.
  • Logging for event types.

Workstation​

  • Logging for applied search facet filters.
  • Logging for Custom Field Templates.
  • Logging for Event Detail Templates
  • Logging for Report Builder templates.
  • Logging for custom fields on a collection.

Data Management​

  • Logging for Kafka connectors.
  • Logging for manually entered data.