Swimlane 10.25.2 Release Notes
the 10 25 2 release focuses on platform reliability, infrastructure maintenance, and operational performance this release includes the latest mongodb maintenance update along with improvements to certificate trust handling, python runtime compatibility, and database performance what's new in this release? mongodb upgrade upgraded mongodb from version 8 0 23 to 8 0 26 this update incorporates the latest stability, security, and maintenance improvements to help ensure continued platform reliability and compatibility addressed issues improved trust for third party ca certificates previously, third party ca certificates uploaded through the admin console were not consistently trusted after upgrading the platform this could affect secure connections (for example, ldaps) and sometimes required manual certificate path or workaround steps this has been resolved by improving runtime certificate handling and standardising ca bundle usage across supported deployment environments these changes ensure uploaded certificates are trusted more consistently, improve the reliability of tls authentication, and reduce unnecessary startup warnings in restricted runtime environments restored python runtime support for correlation tasks previously, certain python based integration tasks could fail after upgrading to 10 25 1 due to a missing runtime dependency this affected actions such as swimlane collect correlation keys, preventing workflows from completing successfully this has been resolved by restoring the required runtime dependencies and improving python library compatibility across supported python versions these updates ensure correlation and other python plugin actions execute reliably after upgrading improved database performance through index optimisation previously, least used database indexes could consume storage and increase maintenance overhead without providing significant performance benefits least used indexes have been removed to optimise database performance, reduce resource consumption, and improve the efficiency of ongoing database operations