Managing optimization packs
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Whether out-of-the-box or custom, before being used optimization packs need to be installed on an Akamas installation before being used.
Since optimization packs are global resources that are shared across all the workspaces on the same Akamas installation, an account with administrative privileges is required to manage them.
Optimization packs that are not yet installed are displayed as grayed out in the Akamas UI (this is the case for the AWS and Docker packs in the following figure).
An Akamas installation comes with the latest optimization packs already loaded in the store and is able to check the central repository for updates.
There are two ways of installing an optimization pack:
online installation - this is the general case when the optimization pack is already in the store
Only in the first case, an optimization pack can be installed from the UI. See here below the command line commands to get an optimization pack installed.
Online installation
Execute the following command by specifying the name of the optimization pack that is already available in the store:
Execute the following command to install an optimization pack by specifying the name of the optimization pack and the full path to the JSON descriptor file:
When installing an optimization pack, the following checks are executed to identify potential clashes with already existing resources:
name of the optimization pack
metrics
parameters
component types
telemetry providers
In case one of those checks is positive (i.e. a clash exists), the installation failed and a message notifies that a "force" option needs to be used to get the optimization pack installed anyway
Please be aware that when forcing the installation of an optimization pack, Akamas replaces (or merges) all the conflicting resources, except that if there is at least one custom resource, the installation is stopped. In this case, the custom resource needs to be manually removed first in order to proceed.
The following command uninstalls an optimization pack
Notice that this also deletes all the components built using that optimization pack.
In case a new optimization pack needs to be installed from a descriptor, the procedure is the following:
uninstall the optimization pack
remove the old version of the optimization pack descriptor file from the store container;
install the new optimization pack with the new JSON descriptor
offline installation - this may apply to custom optimization packs available as a JSON file (refer to the page)
The following command describes how to download the file descriptor related to the version 1.3.0 of the Linux optimization pack:
