11.34.47 Platform Release

Released September 11, 2026

This release is a patch update for the 11.34 platform release.

Addressed issues

• Automation flows: Improved reliability of post-compute metric and report automations by ensuring that when a flow step exhausts its retries the failure is logged and surfaced, instead of silently leaving metric and report data unrefreshed in large environments.

• Automation flows: Improved reliability of compute automations by coordinating the underlying transaction timeout with the flow-step timeout, preventing recurring timeouts during large compute jobs.

• Automation flows: Improved reliability of consolidation flows by removing an unnecessary load of all sub-flow definitions that could cause the flow to time out on its first step.

• Data Warehouse: Improved query-result consistency by ensuring the same query returns the same record count regardless of the processing path used.

• Explorer: We've enhanced Explorer so query results stay consistent whether or not result fields have aliases applied — same underlying logic, same reliable results every time.

• Platform resilience: Improved reliability of data export by ensuring the export directory lock is released before the export is marked complete, resolving a race condition that could occur during export.

• Platform stability: Improved platform stability by significantly reducing memory usage when opening and consistency-checking very large data stores, preventing out-of-memory errors during startup and maintenance on the largest environments.

• Data consolidation: Improved data consolidation safety by preventing a storage read error from removing existing records before their replacements are written, which could otherwise affect record relationships and vulnerability risk ratings.

• Data consolidation: Improved data consolidation reliability by correcting how the discard threshold is calculated so source records without identifiers are handled correctly.

• Data processing: We've improved data lifecycle cleanup so raw records are now removed at full speed, with no delay.

• Query performance: Improved performance of large-scale metric queries by optimizing grouped aggregation over related data.

• Search performance: Improved reliability of text-index population by preventing excessive write-ahead logging during large index builds.

• Processing performance: Improved bulk data-creation performance by resolving a slowdown that could occur when large volumes of deleted data accumulated in storage.