This major release of Akamas introduces several brand new features and enhancements, UI improvements, additional Optimization Packs, and integrations. The following is a list of a few selected features.
Akamas 2.0 provides extended collaboration capabilities required to support adoption in enterprise contexts where it is required to grant visibility and the ability to modify its constructs only to specific users or teams.
In Akamas 2.0, the new concept of workspace has been introduced to group systems, workflows, and optimization studies. This way it is possible to easily and safely share them with their colleagues, team members, departments, or external organizations.
Administrators can create workspaces to delegate optimization activities to users, organized by department, application, optimization initiative, or any other criteria. Users can then be associated with one or more workspaces either as contributors, who can actively contribute to optimization activity by creating, modifying and deleting systems, workflows and optimization studies or as simple viewers, who can monitor their progress or share results by viewing these constructs. Workspaces can be managed via either API or CLI.
In Akamas 2.0 several improvements have been introduced to Metric Analysis charts, that is to charts that allow to analyze and compare metrics collected in its experiments (or the baseline) in an optimization study:
a) it is now possible to visualize more easily the scoring windows identified by Akamas during an experiment for each metric to better support the analyst;
b) it is now possible to select custom colors for each time series in order to better highlight relevant metrics for an experiment, and produce more readable reports;
c) Users can now select columns to be displayed on the studies page. Moreover, the study page has also been simplified to improve the readability of the study status and evolution.
Akamas 2.0 ships an updated AWS Optimization Pack that now also supports the ability to optimize applications leveraging AWS Lambda functions.