How much traffic can a VPS handle?

**Marc van Leeuwen** · 12-03-2018, 09:42 AM

I have a VPS 4GB of RAM. Can I know how much traffic can a VPS handle? Is it estimated by what factors?

**Rob Whisonant** · 12-03-2018, 05:55 PM

It depends on many factors. Page sizes, if it's database driven or not just to name two.

Also, a badly optimized script can slow a VPS way down.

What I see most with VPSs is that the mysql server is the weak link that slows things down.

**buzybee-kevin** · 01-02-2019, 09:19 PM

Their are a lot of factors that go into answering this question. The fact of the matter is that it really cannot be answered definitively. We can only offer a ballpark answer based on the best possibility scenario. A VPS with 4 GB should be able to handle a very busy website with well over several thousand visitors a day. It is estimated by these factors

Node type CPU,RAM architecture,
virtualization technology ie Xen,KVM,Openvz
Virtualization tech settings,
HDD,SSD type,
RAID type,
OS type,
Website code type ie PHP,HTML,
Website code optimization quality,
Bandwidth allocated to your server and saturation,

**BountySite** · 01-03-2019, 11:33 AM

What are you running?
If you are talking about how many connections 4GB RAM can handle, then you do the math with number of connections in all TCP states.
You will have to optimize some kernel params to increase some default limits.

Check this link for ref
https://serverfault.com/questions/10852/what-limits-the-maximum-number-of-connections-on-a-linux-server

It the server is running mostly image rendering, with nginx, you can do very high traffic( 1000(s) / second)

**vps9** · 04-10-2019, 07:55 AM

Is your website static?
Does it have any animation or heavy elements?
What is the optimisation performed on the website?
What is the size of database? and query takes how much time to fetch data?

These are some of the factors of the traffic assumption or calculation

**GMBReviews** · 04-10-2019, 03:36 PM

There's a lot of factors that takes into account.
1. Is your website using cache to save processing cost ?
2. Is your Web server caching API requests ?
3. Is your database cached ?
4. Is your site optimized in a way that uses least resources ?