Hey everyone 👋, we’re announcing the release of Chaos Genius v0.10.0! 🎉🚀
This release focuses on clearing the bugs backlog and improving the quality of our root cause analysis for anomalies. Here are some brief notes on our new features and bug fixes:
⚡ Enhancements to Root Cause/Drill Down Algorithm for Anomalies
Till now, for finding the reasons behind an anomalous data point, Drilldowns would mostly sort the underlying sub-populations by the severity score of their anomalies. This often led to high severity but low impact sub-populations being ranked higher in the Drilldowns hierarchy. To fix this, Drilldowns for an anomalous point in a KPI are now sorted by a new metric called Impact Score. This metric weighs both the severity of the data point as well as the contribution the subdimension has to the overall KPI. Users will now have more relevant and clearer insights into their data.
- Impact Score Metric #1033
🐛 Bug fixes
- Fix anomaly subdim filter and data download for subdims with empty value #1057
- removed check of hasdruiddropdown #1056
- fix(drilldowns): reset count col before data loading #1055
- fix(data-loader): fix bug when metric and count column are same #1053
- fixed security vulnerabilites #1052
- fix(drilldowns): use severity when impact is 0 #1051
- fix(anomaly): when metric and count column are same for pre-aggregated data #1048
- feat: add path safe KPI and subdim names for CSV download #1045
- download csv name changes #1047 #1044
- fix(anomaly-params): use .get instead of indexing, check rca_time exists #1043
- added description and numerical range to slider values #1041
- fix(migrations): handle case where value of subdim can be an empty value #1040
- perf: optimize graph JSON creation #1039
- Make anomaly CSV download work for subdims too #1038 #1036
- feat(alerts): add CSV to email alert report, better CSV names #1035
- Schedule Deepdrills/summary at same time as anomaly for daily running KPIs #1034
- refactor anomaly data view for style, lints, type errors #1032
- fix(anomaly): smaller time window, drop dups for hourly KPI drilldown #1029
- fix: added guard condition to fix #1021 #1027