Nobl9 application (1.193.0)
- Expandable annotation window
- Multiple active disruptions per component
- Release update indicator in Help & Resources
Release detailsโ
new Count delta metrics in the Prometheus APIโ
The Prometheus API for SLO time series now exposes count_good_delta and count_total_delta, which report the increment since the previous sample. Both are also available pre-aggregated at 1-minute, 5-minute, 15-minute, 1-hour, and 1-day resolutions.
Unlike count_good and count_total, which cover the whole SLO time window and can decrease as older observations leave it, the delta metrics report fresh increments only. This makes them a better fit for analyzing event volume over time. See the count delta metrics reference for details.
improved Expandable annotation windowโ
You can now expand an annotation popover into a larger, viewport-centered window with the new expand control next to Close. The header and Description section stay visible while the annotation content scrolls independently, making long descriptions easier to read and edit.
improved Multiple active disruptions per componentโ
The disruption API now allows multiple active disruptions to share the same origin component. Previously, a component could have only one impacting disruption at a time.
The component's status continues to reflect the most severe active disruption. The activeDisruptionId field in API responses now refers to the newest active disruption.
improved Release update indicator in Help & Resourcesโ
The Help & Resources menu now shows a notification dot when new Nobl9 release notes are available, so you can spot product updates without leaving the app.
fixed Anchored regex label matchers in the Prometheus APIโ
Regex label matchers in Prometheus API queries are now anchored, matching the behavior of native Prometheus.
Previously, a selector such as slo=~"name-a|name-b" could also match SLOs whose names merely contained one of the alternatives. This over-matching could inflate a query's series count and fail the query with a query selects N series, which exceeds the maximum error.