Hi all,

My team is using Geoserver to power a web app that shows maps of
projected climate change. We are currently running into issues that I
believe are related to the large amount of layers. I was wondering if
other users had ideas on how to make it more efficient and stable.

Our data is originally in Zarr datasets. It could be converted to
netCDF, but we had too many issues with the Rotated Pole projection. As
we added the reprojection step, we decided to save everything in
GeoTIFFs it seemed easier to handle.

The data has many facets : dataset (3), indicator (22), scenario (3),
season (5), stat (4), ensemble percentile (5), time period (15).

This list is somewhat simplified for the question. All in all, we
currently have 50 000 such geotiffs and as many layers in Geoserver.
That number is expected to grow a lot in the near future. 

I see the multi-dimensional support in Geoserver, but in our case that
only covers the time period. Is there a format where we could combine
some layers together to have fewer stores on Geoserver ? I tried using
a GeoPackage with multiple "subdatasets", but Geoserver failed to parse
it.

We currently provision the server using the REST API. We mount the data
in a folder local to the server and make API calls to create each
layer/store. On the production server, this currently takes around 2h.
It's very slow. Is it possible to pre-generate the catalog offline ?

We haven't had performance issue for the WMS service for now, we don't
have that many users. Most difficulties arise in the data provisionning
step.

Thanks!

--
Pascal Bourgault
Ouranos, Montréal, Qc



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