Reduce Storage credit consumption

[KhoajaKhaled]

Hi GIS community, 

Is there a way to reduce ArcGIS online credit consumption. I cleaned the unnecessary files and layers, but still it consumed most of the credits. What is your experience and advice. 

Appreciate it.

Thanks

[ChristopherCounsell]

When you click into that dashboard to identify the biggest items, it has a bug where it combines the feature storage and photos. This may mean your '3 biggest' may be many GB but it's actually photos, and a lower-ranked item with <1gb of storage may be incurring 200x more credits in size

https://support.esri.com/en-us/bug/status-dashboard-for-credits-shows-combined-size-in-ite-bug-00014...

The credit consumption in your screenshot is correct but if you want to truly identify which items are consuming the most credits based on their size, you need to export the csv and break down both feature storage and attachments separately

https://esriaustraliatechblog.wordpress.com/2021/06/22/which-arcgis-online-items-are-consuming-the-m...

I have found in my experience it to be driven by:

1. Large volume of complex geometry (polylines and polygons with lots of vertices). e.g. non-generalized state/country parcels. Rivers datasets for country.
2. Editor tracking history. This grows substantially over time with large volume of editing. 
3. Replicas (but again, mostly tied to #1)

[LindsayRaabe_FPCWA]

Thanks for the additional info. I can confirm for us it's the feature storage (and thus geometry) and offline replicas. We do have attachments on some layers but it's minimal compared to what many would have happening. We have been downloading the csv to review and track changes to individual feature services after trying different things. Trimming the change log for just our top 3 layers has saved us nearly 7GB!

Feature Service	MB (14/08)	MB (15/08)	Change (15/08)	MB (16/08)	Change (16/08)	MB (17/08)	Change (17/08)
FS 1	3604.9	3555.5	-49.4	3555.5	-49.4	1218.0	-2386.9
FS 2	3318.8	3318.8	0.0	3318.8	0.0	692.3	-2626.5
FS 3	2028.8	2028.8	0.0	2028.8	0.0	146.1	-1882.7