Options for Managing SharePoint Online Storage Growth

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Asked By SkyDancer42 On

Hey everyone, I'm feeling pretty overwhelmed right now. My SharePoint Online storage is nearing its limit, currently sitting at 99.9% capacity, and we're experiencing a rapid data growth of about 40 TB each month. This is mostly driven by high-consumption project sites that don't have any cost recovery model in place, meaning they're not charged back to projects or clients. Our leadership is insisting that we need to control this growth without any budget for additional storage. I'm down to just about three days' worth of available storage, and I'm completely at a loss. What options do I have for managing this situation? What strategies have you put in place for data management in a similar scenario? Any advice would be greatly appreciated! Thanks!

3 Answers

Answered By TechGuru99 On

Wow, 40 TB growth monthly is huge! Just to clarify, are you sure that's all from SharePoint Online and not from OneDrive or Teams recordings? Those sometimes can balloon quickly. Maybe double-check where the space is really being consumed.

Athy_x -

Yeah, it's purely from SharePoint unfortunately. We did manage to cut down on versioning to 60, which freed up a decent amount of space.

Answered By StorageSage55 On

It sounds like this is beyond your control and involves company policy. It's the document control team's call on the 12-year retention, so they should be advocating for the budget to purchase more storage from leadership. They need to make the case for why it's necessary before a solution can be found.

Answered By DataNinja88 On

Have you considered implementing retention policies to delete older files? I know it's tough because no one wants to delete anything, but if there's no budget for more storage, that's a critical step. Try to figure out why you're growing at such a rate; something's got to change.

Athy_x -

That’s been a topic of contention. Our document control team insists on keeping everything for at least 12 years, but it’s frustrating because there's a lot of irrelevant data lying around that makes analysis tough.

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