Did you include repair ingress in that? My previous 2 months were roughly 1.2TB and 0.8TB, so 1TB seemed fair.
It’ll take a lot longer than 2 years to get to the theoretical limit of 40TB (technically never, but after 10 years you’re still at 38TB). With the current traffic I would advise not to go over 24TB as that already takes 3 years to fill up. By that time you can always decide to expand then. Funny enough this matches with the Storj recommendation of having nodes between 8TB and 24TB in size. Turns out that was pretty good advise.
I would say, don’t count on it. While by that time there may be many more customers, there will also be many more nodes. Looking at the future based on what we know now, I actually don’t expect nodes will get it much better than they have it today. But I’d like to state that that is mostly educated speculation. While the sheet is based on actual current network performance. So I should probably stick with what we actually know.
I would say your average of 0.85TB is close enough to 1TB then. Especially since the previous months it was actually much higher and I don’t want to keep bumping it up and down constantly. I’m not entirely sure why I saw a little more ingress, but that’s just more confirmation that 1TB seems to be a decent level to put it on right now.
Still looking for more input on deletes btw. Right now my full node saw about 2.25% of data being deleted. I rounded that up to 2.5% for now, don’t want to be too optimistic in the calculations. Hopefully we get deletes in the graphs (and db’s) soon, so we can have much more exact data on that.
Correct, but keep in mind this is very theoretical and in practice you’ll likely see it fluctuate over time. You may see significant drops before you even get to that point during bad times and go far beyond during good times. It’s just an indication of what can roughly be expected to be some soft limit. There is also likely to be a certain subset of data that will “never” be removed. Which might lead to endless growth but really slow.
I guess what I’m saying is don’t buy hundreds of terabytes worth of HDD’s expecting to fill it.
Closing the voting would also prevent people from responding, so please don’t do that.
Right now the votes represent people voting for an official earnings estimator. People can still retract their votes if they want to vote on something else as well.
If no official version is being considered, then I guess it can be moved if we can get a definitive response on that.
Aww thanks! Yes that is correct. It’s a per /24 subnet soft limit. However, deletes have been really low recently, so the soft limit might go up. It’ll just take quite a while to get there.
I’ve made a few adjustments to the metrics used in the estimator.
Recently we’ve seen more download happening. My nodes together had more than 15% of stored amount as download. Newer nodes may see even better result as the downloads seem to hit new pieces at a higher rate. Deletes have also nearly stopped in the second half of the month. I saw less than 1% of stored data be deleted this month. Ingress is unfortunately also still a bit lower than previous estimations. Because of this I changed these metrics.
All in all, this means we make a quite bit more money per TB than previously predicted, but unfortunately it will also take a little longer to collect data. The soft cap has moved up by quite a bit all the way to 80TB, but don’t go out buying HDD’s just yet. At the current rate, you will have only 55TB filled after 10 years. So start with sharing what you have and only buy more HDD’s as needed.
As always, this represents the network as it is now. Things may change drastically in the future!
For new node operators, you can still fill up 8TB in about a year and you’d make about $40 per month when that is filled. That’s still a great deal.
For everyone. As long as that is still a great deal, market effects will mean it attracts new SNOs and ingress is likely to drop further as a result of it being split among more SNOs. That’s the nature of the beast. Getting in early becomes more important as a result as that gets you in while the ingress is still good and gives you a head start on the rest. So if you’re reading this, nice job on starting early!
I sincerely apologize for the ever more obnoxious signals at the top of this calculator to please not request edit access. Despite my many attempts to make clear that I won’t grant these requests, my inbox keeps being flooded with frequent access requests. To everyone who has followed instructions and simply copied the calculator, I thank you! These messages aren’t for you.
You’d think this latest version would make it hard to miss. But despite this, I still receive requests. I may eventually move this sheet to a throwaway email address so I can simply ignore the emails. I already contacted Google Sheets support, but there is apparently no way to block the feature that allows people to request access. Please be kind to my mailbox and follow the instructions.
If the emails have an exclusive subject or sender you can set up a rule to automatically trash the message. I’m not sure if this is something you’ve tried but I use it at work for system notifications that do not apply to my role directly
So that would be an rough average of $5/TB/month of storage assuming you gave it all of the egress bandwidth it could possibly want correct? Or I am digesting this piece of information incorrectly?
I am able to provision bandwidth stupidly cheap but not so much with storage… So I am trying to evaluate whether or not if I am in the right market to leverage this from my provider for the long haul.
Before that you likely receive a much less. I would like to suggest to use a spreadsheet from the topic and copy to your Google account, then place your numbers. You will have an estimation based on current average usage and all other limits (like vetting, building trust with a gradual decrease in the amount of withholding, etc.)
Honestly I don’t get it what are you mean by that. And your spreadsheet is broken.
You need 8TB of storage for what? What is your profitability target? Have you accounted how much money you will pay to datacenter before your node probably filled up? Have you calculated how much time it may take?
Please, try to formulate it in a different words.
There is no obvious dependency between egress traffic and allocated space. Even proportion between an egress and repair traffic is questionable and could be taken only with some probability.
In general you should have more egress traffic with more space used, but this dependency is non-linear, and extending this estimation to the amount of allocated space have even greater estimation error.
It’s much simpler to talking about time. The 8TB could be filled roughly after a year based on current stat, then you may have a target income per month, if the usage would not change.
