Extract clean, consistent and queryable data from logs, reports, and other unstructured text files for *any* downstream use case
Fuse data from reports, bug trackers, and many more with simple functions instead of wading through multiple spreadsheets & formulas.
Go beyond standard dashboards into insights for any project stage (Eg: Bug trending rates, is anyone of my team overloaded, etc)
Templates & functions to determine PASS/ FAIL/ INCOMPLETE for any stage of your release process.
Use multiple detection methods (thresholds, regressions, ML pipelines, etc.) to identify & flag anomalies based on historical data
Schedule and update any notebook, file, or database via cron, Jenkins, triggers, or our built in scheduler
Automate extraction and centralize tracking of slack, area, power, and other key (Quality of Results) QoR metrics
Combine metadata from version control and performance metrics from simulation runs to easily drill down into bugs and issues
Key metrics (pass fail status, simulation seconds, wall clock seconds, versions, etc) - parser to dashboard for your team’s workflows
Templates and functions to answer questions like- why are my jobs not running while my machine utilization is low and licenses are idle?