# Heavy storage use and slowdowns with lots of sensors directly cut into my monitoring time

In my environment, PRTG really shines until I start getting close to “real world” scale. Once I add a large number of sensors and servers, the system feels heavy, the UI slows, and even basic refreshes can hang for a bit. On top of that, the storage footprint grows fast, so I am constantly watching disk space and retention instead of focusing on what the data is telling me. It creates awkward moments where I am waiting on the tool during a live incident, or explaining to management why a health dashboard is lagging when we need it most. I know PRTG can handle serious networks, but this performance and storage overhead has become a daily friction point for me.

Is anyone else finding that storage use and performance slowdowns become a real hurdle once your sensor count and server list grow, and how do you cope with that day to day?

##### Post Metadata
- Posted at: 7 months ago
- Author title: Pinned by G2 as a common question



## Comments
### Comment 1

<p><span style="color: rgb(0, 0, 0);">Have you tried tuning your sensor scan intervals and dependencies so PRTG isn’t polling everything all the time, because optimizing those settings can reduce load and improve responsiveness when lots of sensors are active.</span></p>

##### Comment Metadata
- Posted at: 7 months ago
- Author title: Jr. SEO Specialist




## Related Product
[Paessler PRTG](https://www.g2.com/products/paessler-prtg/reviews)

## Related Category
[Enterprise Monitoring](https://www.g2.com/categories/enterprise-monitoring)

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