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Currently, there are two methods to 'shift' archives:
1. "ArchiveAutoArchiveFileRoot" set to blank
2. "ArchiveOverwriteDataOnAutoShiftFailure" enabled
Neither method shifts to dynamic archives. We have three sites that merged PI servers, thus half our archives are merged and dynamic. this negates any automated form of archive management.
I suspect the two shift methods came about thru an evolution, but there should be a way to 'rotate' thru all archive types so that we don't need to manually manage archives, mess with additional drives, etc.
What about a new tuning parameter?: 'Archive_DeleteOldestOnAutoShift'
We are only required to keep 'x' number of years of data, we have that requirement, but the drive is full. We can't easily add space, and we can't delete many archives at a time and maintain our minimum history, and we're too busy to delete archives every couple of days.
Help! Thank you!

As we adopt more and more AF databases as part of how we do business, the ability to easily maintain them becomes more and more important.

We have created documents to detail the business process flow to follow to update AF databases, but these are stored as documents on sharepoint sites, and not easily linkable to the actual AF databases. We can put a link to them in the database "Description", but it is a workaround.

It would be great to have the ability to better document AF databases. This could take a number of forms from the very basic to the more advanced:
Eg (some or all of these could be implemented)
1.) Make the "Description" field on the AF Database General tab larger, and multi-line. Do the same for Tables, Analyses etc.
2.) Provide a way to link to documentation (eg. have a "documentation" button that links to a sharepoint URL).
3.) Provide a list of PI points consumed and updated by the database.
4.) Use different coloured icons for tables that are local and tables that have external connections.
5.) Have a "Documentation" element for each AF database, for example an html-based document that implements wiki functionality.
6.) ??

Currently you can only run a single PI Analytics instance at a time. We have two VMs running PI Analytics in a failover situation, but this means that one of the VMs is sitting idle 99% of the time.

We are starting to hit the limits of scaling with analytics falling behind. Ideally, the analytics should be able to run on multiple VMs.

For example, if you have 10 AF Databases and 2 Analytics servers, it should run the analytics for 5 of the databases on each VM. In a failover situation it could send the Analytics for all 10 databases to the online server. In this way if you run into performance issues you could increase the number of Analytics servers to improve performance (at least across multiple AF Databases). If you added a 3rd server, it would split the jobs 3+3+4 based on AF Databases.

You would still need to ensure the servers are adequately specified to handle the load of a single AF databases calculations, but this would go a long way to improving the problems we are having with performance.