This release of Alectrona Patch 2.4 focuses on improving running application detection and logging, ensuring smoother and more consistent updates.

We've introduced new features and improvements to enhance your experience with Patch Desktop. This release also includes a few bug fixes to ensure smoother operation.

We've optimized the performance of generating Patch Reports, which now include the device's managed Patch Configuration in the report output.

We've also resolved an issue where the Active Intervals feature did not function as expected when using the Update All feature.

This release introduces the MaxConcurrentDownloads key to control concurrent downloads and enhances the Patch Report with more detailed information.

Additionally, we've fixed an issue where the InstallOrUpdate key was ignored when utilizing the Update All feature.

This release resolves three issues introduced in Alectrona Patch 2.0.

We are happy to announce day-one support for macOS 15 Sequoia in Alectrona Patch 2.0. 🎉

We prioritize security and believe that day-one support is crucial for software updates. Upgrading to the latest version of macOS guarantees your Macs have the latest security enhancements available and ensures immediate access to new features and improvements. When your users upgrade to macOS Sequoia, you can be confident that Alectrona Patch will work as seamlessly and effectively as ever.

This release resolves an issue with file logging introduced in Alectrona Patch 1.9.0.

This release resolves two issues introduced in Alectrona Patch 1.9.0.

We are starting off 2024 with an exciting new release of Alectrona Patch that includes a bunch of new features!

Our notification system has been rebuilt from the ground up to add the latest styling features found in the most modern macOS versions; it is sleek, beautiful, concise, and by far the most customizable end-user experience of any patch management solution for macOS. 🙌

This minor release addresses a potential issue where the Patch Agent may not reschedule automatic updates within the expected time frame.