Yes. Not necessarily as much as the number of nodes, but still (e.g. 3 vetting nodes won’t take 3 times as much time as a single vetting node).
The post explains that the more available data storage you have, the longer it will take to fill up a node in a non-linear fashion. You should copy the “more realistic earnings estimator” linked in the post you cited to your google account to fill in your numbers and see for yourself.
Having 5x8TB or 2x20TB or even 1x40TB won’t change a thing to this regards, as long as they all are within the same /24 subnet (and even more so behind the same IP) because they are all going to treated as a “big single node” for ingress. (This doesn’t apply to egress which only depends on the quantity of data you’re storing)
This said, having several nodes scattered among several HDD is always a better option as it mitigates the risks of losing nodes if some HDDs fail, whereas having only one huge HDD could make you lose everything if it were to fail.
Vetting progress is not shown on the web dashboard.
One needs to run some technical commands to uncover them.
See this for instance:
As of today, 100TB would never ever be filled up even after 20 years.
The best approach is to start one first node with say an 8TB disk, and wait for this node to be nearly full. In the mean time, you may want to start another small node (500GB) so it gets vetted and is ready for the future.
Then, when your main node is nearly full, start a new one with another 8TB disk (or expand your small 500GB which would now be fully vetted and ready - and start another new one for “incubation”).
And so on. By doing so, and if usage of the Tardigrade network stays roughly as it has been for the past months, it would already take around 7 to 8 years to fill up 48TB (6x8TB).
It would also be better from an electricity cost point of view.
Yes, vetting time is, from what i understand, linearly dependent on the number of nodes behind the same IP.
It won’t change anything if the nodes are in the same subnet because the nodes will share the ingress traffic.
Run this command in your linux terminal:
for sat in wget -qO - localhost:14002/api/sno | jq .satellites.id -r; do wget -qO - localhost:14002/api/sno/satellite/$sat | jq .id,.audit; done
change the port if your node is on a port other than 14002
I’d just make one node if the disks are already setup with redundancy. Otherwise make one node per HDD (that last one is my opinion but people have different preferences).
Also all the questions you asked have been answered multiple times on the forum so next time please do use the magic of the research function
Since your nodes is treated like a single node during the vetting process you receive 5% of the traffic to all nodes combined. Let’s say your start 5 nodes at the same time then these 5% traffic are split to the 5 nodes that your are running. Which means each node only receives 1% of the traffic directed to your IP (if it is evenly distributed, which I don’t know).
When you only let one node vet at a time you can benefit from the whole 5%. When the node is vetted it will receive 100% traffic and you earn money faster.
The question is now when I start a second node on the same IP is that traffic then split 95% for the vetted node and 5% for the unvetted one?
I believe vetting doesn’t work exactly like that.
As far as I can remember, on the whole network, 95% of ingress requests get sent to vetted nodes. And 5% to unvetted nodes. Your vetting nodes don’t receive 5% of what your vetted nodes receive.
Which means that, you could even end up in a weird situation where your vetting node gets more ingress than your vetted nodes if during your vetting period the number of vetting nodes in the whole Tardigrade network is very low. Very unlikely, but possible.
More technical insights on how it works and what they are planning to do on this matter:
Also, even though the vetting process takes longer if you have several nodes being vetted, I remember reading somewhere that they tweaked this process so it’s not exactly linearly dependent on the number of nodes being vetted. It’s faster than that.
Can’t find back posts explaining all that though
EDIT: Found it, see my post below.
Thanks to already excellent responses from others in this topic, I have very little to add. Just some small remarks.
@Pac already answered this, but I want to add a caveat that my post you are linking to contains outdated information. There seemed to be a theoretical limit of about 40TB at the time. Things have changed since then. Ingress has gone down a bit, but deletes have gone down even more. To the point where the theoretical limit has gone up to about 100TB, but is no longer relevant as it would take literally several decades to get there if ever. Please refer to the sheet in the top post instead to get an indication of what to expect in the first 10 years (if traffic patterns stay exactly the same, which they won’t). I try to keep that sheet up to date with recent traffic patterns.
While we’re linking to my stuff, I recommend this script. It will show earnings and among other things the vetting process on each satellite. If you have further questions regarding this script you can post in that topic.
One last remark on @Pac’s last post. The linked post refers to a priority auditing that’s done for nodes that haven’t been fully vetted yet. This indeed makes it not linear to the number of nodes in vetting. But keep in mind that this doesn’t cover all audits. You still get audited through the normal process as well based on random piece selection. Additionally, even this priority audit process for unvetted nodes also audits all other nodes that hold pieces for the same segment. So while this process makes sure there is a minimum number of audits for all unvetted nodes, it is quickly overtaken by random audits as soon as you get more data. All those normal audits do scale linearly with the number of nodes in vetting.
This leads to 2 options. Vet as many at once to get them vetted a little faster, or vet them one by one. One by one has the vetting process take a little longer, but as long as you also have fully vetted nodes with free space, this could actually be a slight advantage as traffic for unvetted nodes isn’t shared with traffic for vetted nodes. So you can get slightly more on one IP if you have nodes in vetting and vetted. In general, this difference is probably not worth jumping through hoops for. So choose whatever makes managing your nodes easier on your end.
Wow, you guys are amazing. I can’t believe the responses in such a short time, thank you so much!
I do have parity drives, and the 24TB node running now is made up of 6 disks. I also have 1Gbps up/down and unlimited bandwidth.
Awesome! Thanks, will switch on next upgrade, looks like both images are the same ATM
So is there any egress benefit to having multiple nodes? As per your statement seems like egress is a function of data present, thus whether it’s on 1 node or 10, doesn’t really matter…agree?
Sounds like we need a bigger sales/marketing team Perhaps this bull run will help tardigrade be more widely adopted
I did look around quite a bit and search the forums but I did not see answers that I thought were current or I didn’t see the answer. I try to not clutter up forums with redundancy
I did use this script, thank you. I actually found it before this post but it still only shows %vetted which is actually sufficient assuming 100 successful audits are still the number required.
That said, I ran the script successfully and my nodes have been up 24/7 since Jan 16 and the vetted status is between 0-2% across satellite. I’m still only running a single node. This seems VERY slow, at this rate it will take >1 yr for all satellites to vet my server. I’m pasting a screenshot below. Any thoughts?
Given all of the discussion and my setup, it seems that a single node with 24TB is sufficient for quite some time (especially if it never gets vetted). My disks are optimized for sleep with a cache drive in front plus parities for redundancy…as such, 1 24TB will get vetted and filled up as quickly as possible and egress will service the requests as they come once data is hosted, right?
Thanks again to everyone for the great feedback and assistance.
Keep in mind that they aim for balanced growth. So with more customers come more node operators. And if your large node would fill in a year that would also mean the network has only about a year of additional space. That would be a dangerous level to be at. Don’t expect this to suddenly change a lot. It may go up, but it won’t be x10.
It is. So the percentage is the same as the count. It’s currently hard coded at 100. Don’t think that’s likely to change, but if it does I will update the calculator accordingly.
Yep, currently you mostly see audits for unvetted nodes. The more data you get, the more normal audits you will also get. Vetting speeds up exponentially over time because of this. Nothing to worry about. It takes on average about a month. But the first week you only get a couple. What you’re seeing is normal, it likely will still take about a month only.
If you mean to make your drives spin down. I would highly advise against that. Read caching is of limited use as download patterns are quite random. It mostly helps with the database access. If your drives spin down they will definitely time out downloads due to spin up time. But realistically they will soon no longer get the chance to spin down because of the constant access.
I have a 2TB NVME device in front of the entire array. The mounted volume write to NVME first and it then gets replicated down to the disks on a schedule. From the mount, all data appears in a single location so anything reading/writing to/from the mount doesn’t need to worry about where the data is physically located, as it’s irrelevant to the reader/writer.
Regarding spin up times – 100% irrelevant on write as write are completed on the nvme, furthermore all of the identify and db files are maintained ONLY on the NVME drive. The disks backing the mount are configured in such a way that all data will go to a single drive first, fill that drive up and then proceed to the next drive.
You may be correct on not spinning down the first disk that’s going through ingress right now as it will have spin up time on egress. Is there an egress timeout? If so, is it longer than spin-up time or no?
There is a “natural” egress timeout: Whenever a client requests a segment of data, corresponding pieces are queried from nodes (29 which is the minimum number of pieces for rebuilding a segment + some more to be safe).
All these nodes are then concurrently trying to retrieve these pieces as fast as possible.
The first 29 nodes to successfully send their pieces win the race. Other transfers are cancelled (and do not get paid for this egress query EDIT: we in fact get paid for what got partially sent, see @BrightSilence’s post below).
If one the nodes needs to spin up its disk to query the piece, it will surely lose the race.
Download in Storj terms means a download by the tardigrade customer from the network. That would be a read on your end. This btw is also what makes you the most money. As soon as your cache is exceeded those spin up times will matter to pieces requested from one of the HDD’s.
@Pac addressed the time out. If enough other nodes are faster than you, your download will be canceled. So you want to be among the faster nodes to make money from downloads.
If I remember correctly, whatever bandwidth you send for that query you get paid even when your transfer is canceled. Example, 1 MB was requested and 100KB was uploaded then transfer was canceled then that 100KB is paid.
(Correct me if I am wrong)
Having used Unraid in the past, I would advise against using the Unraid cache for Storj data. I would recommend having a dedicated share for your node and set Cache=No in the share settings. Unraid’s cache and Mover system is likely okay for large files, the Mover run may choke on the sheer amount of small files that your node will generate on a regular basis, which will also translate to heavy parity activity during this time. Furthermore, once you’re storing data, ideally you’re able to serve up that data on demand and get paid for egress. Having to spin up drives in order to win egress races is going to be detrimental to node performance and drive health. Might as well write the data straight to the array and have it available to read from there without spinning down drives.
For others not familiar, the Unraid community is obsessed with drive spindown.
I think it’s both electricity costs and noise. A lot of Unraid users are coming at the home server game by adding a bunch of drives to an old gaming PC, so it might be sitting in the computer room next to their new gaming PC (brushing the community with really broad strokes).
I flirted with Unraid coming from an Ubuntu server in my basement running ZFS all day so I just yolo’d it with all drives running all the time. You actually get better write performance to the array if you use reconstruct write (i.e. turbo writes), which performs slightly similar to other real-time RAID systems in that it reads all the remaining drives while writing in order to write parity. By default, this is turned off to prevent “unnecessary” drive spinup. This results in half-speed writing to the array because it needs to both read and write parity while files are written to the array.
The OS-managed write cache is one way to deal with the slow performance of the array if one doesn’t want to do turbo writes. Plugins exist to help users hunt down the cause of drive spin up and optimize which files stay on the cache vs what files are at rest. Optimizing hard drive spindown and spinup is just ingrained in the Unraid ethos.
For a media server, I can understand the perspective to some extent, keep media at rest until you’re serving it up to a handful of users or whatever.
On the other hand, for a Storj node, I think a SNO should aim for the opposite of this and keep drives spinning all the time.