New updates and improvements to Bloomfilter.
February 11, 2025
Still in QA, with confirmed parity for our Jira integration. A few missing field configurations were identified. Deployed to production but integrations remain off—we’ll enable them one by one after validation.
Dashboards are officially in production! Start building and customizing to your heart’s content, and let us know your feedback.
Now available in production, including custom calculations.
A few last defects are being resolved. Coordinating rollout for next week.
Updating the risk module based on feedback, with some additional improvements. More details coming soon.
Final testing phase.
Development is underway, with a brief pause to address Data Management defects. Updates coming early next week.
February 1, 2025
The fix for initiatives and the normalization of defects to bugs will be deployed on Tuesday. This update is currently in staging.
On Tuesday, we’re also rolling out an update to our queuing mechanism in Heroku. This will improve ETL performance, timing, and calculation efficiency. Additional bug fixes will be included in this release.
Significant progress this week—three out of four pages are complete, and we’re more than halfway through the workflows page. QA for this new module begins next week.
Catching up here, with plans to begin end-to-end testing late next week. Once testing is successful for Jira and ADO, we’ll start migrating integrations and adding new ones.
Final preparations are underway. Deployment instructions are being finalized, and the application is getting the last set of refinements before its first release.
The last week of the quarter will bring everything together: custom ETL configurations, data management configuration, and final validation. A lot of progress has been made, and the next couple of weeks will be crucial in delivering our most ambitious quarter yet.
September 10, 2024
New visual enhancements, including animated elements for better representation of workflow dynamics.
Introduced new metrics for work period analysis, expanded financial task visualization, and improved calculation accuracy.
Improved logging, refined query execution, and optimized error handling for more robust system stability.