- Their free tier support depended on noticing message board activity and they didn't.
- Those experiencing outages were seeing the result of deploying in a non-HA configuration. Opinions differ as to whether they were properly aware that they were in that state.
- They had an unusually long outage for one particular server.
- Those points combined resulted in many people experiencing an unexplained prolonged outage.
- Their dashboard shows only regional and service outages, not individual servers being down. People did not realize this and so assumed it was a lie.
- Some silliness with Discourse tags caused people to think they were trying to hide the problems.
In short, bad luck, some bad procedures from a customer management POV, possibly some bad documentation resulted in a lot of smoke but not a lot of fire.
You get to a certain number of servers and the probability on any one day that some server somewhere is going to hiccup and bounce gets pretty high. That's what happened here: a single host in Sydney, one of many, had a problem.
When we have an incident with a single host, we update a notification channel for people with instances on that host. They are a tiny sliver of all our users, but of course that's cold comfort for them; they're experiencing an outage! That's what happened here: we did the single-host notification thing for users with apps on that Sydney host.
Normally, when we have a single-host incident, the host is back online pretty quickly. Minutes, maybe double-digit minutes if something gnarly happened. About once every 18 months or so, something worse than gnarly happens to a server (they're computers, we're not magic, all the bad things that happen to computers happen to us too). That's what happened here: we had an extended single-host outage, one that lasted over 12 hours.
(Specifically, if you're interested: somehow a containerd boltdb on that host got corrupted, so when the machine bounced, containerd refused to come back online. We use containerd as a cache for OCI container images backing flyd; if containerd goes down, no new machines can start on the host. It took a member of our team, also a containerd maintainer, several hours to do battlefield surgery on that boltdb to bring the host back up.)
Now, as you can see from the fact that we were at the top of HN all night, there is a difference between a 5 minute single-host incident and a 12-hour single-host outage. Our runbook for single-host problems is tuned for the former. 12-hour single-host outages are pretty rare, and we probably want to put them on the global status page (I'm choosing my words carefully because we have an infra team and infra management and I'm not on it, and I don't want to speak for them or, worse, make commitments for them, all I can say is I get where people are coming with this one).
edit: I hope this comment doesn't sound accusatory. At the end of the day I want everyone to succeed. I hope there's a silver lining to this in the post-mortem.
If you're running an app on Fly.io without local durable storage, then it's easy to fail over to another server. But durable storage on Fly.io is attached NVMe storage.
By far the most common way people use durable storage on Fly.io is with Postgres databases. If you're doing that on Fly.io, we automatically manage failover at the application layer: you run multiple instances, they configure themselves in a single-writer multi-reader cluster, and if the leader fails, a replica takes over.
We will let you run a single-instance Postgres "cluster", and people definitely do that. The downside to that configuration is, if the host you're on blows up, your availability can take a hit. That's just how the platform works.
If this sounds ludicrous, then I think I probably don't understand who Fly.io wants to be and that's okay. If I don't understand, however, you may want to take a look at your image and messaging to potentially recalibrate what kind of customers you're attracting.
AWS RDS lets you spin up a RDS instance that costs 3x less and regularly has downtime (the 'single-az' one), quite similar to this.
Anyone who's used servers before knows "A single instance" is the same as "sometimes you might have downtime".
Computers aren't magic, everyone from heroku (you must have multiple dynos to be high availability) to ec2 (multiple instances across AZs) agree on "a single machine is not redundant". I don't see how fly's messaging is out of line with that. They don't tell you anywhere "Our apps and machines are literally magic and will never fail".
Just because some customers are less fault tolerant than others, doesn't mean we shouldn't offer those options where people don't have the same requirements or are willing to work around it.
So hopefully as fly.io get's more popular, there will be some compelling managed offerings. I saw comments at one point from the neon CEO about a fly.io offering, but not sure if that went anywhere. I'm sure customers can also use crunchy, or other offerings.
What do you think?
$ fly volumes create mydata
Warning! Individual volumes are pinned to individual hosts.
You should create two or more volumes per application.
You will have downtime if you only create one.
Learn more at https://fly.io/docs/reference/volumes/
? Do you still want to use the volumes feature? (y/N)
(and yes, the warning is already even in red letters too)edit: sibling post shows there is such a message on the CLI. The only other thing I can think of is an "Are you sure you want to do this?" prompt, but in the end you can't reach everybody.
I kid, seems like you guys did what you could.
Hey, even if I can feel sympathetic for the course of unfortunate events, it's hard to not to comment:
if you're using a cache, you should invalidate it on failure!
Btw I am happy I got only small amounts of data in any of bolt databases...
How much is over 12 hours? 12 hours and 10 minutes? 13 hours? 67 days?
This was a server with local NVMe storage. The simplest thing to do would have been to just get rid of it, but we have quite a few free users with data they care about running on single node Postgres (because it's cheaper). It seemed like a better idea to recover this thing.
If they're sad that they lost their data, it's their fault for running on a single host with no backup. By actually performing an (apparently) difficult recovery, they reinforced their customers erroneous expectation that they are somehow responsible for the integrity of the data on any single host.
If you run off a single drive, and the drive dies, any resulting data loss is your fault. But not if something else dies.
This is much closer to EBS breaking. It happens sometimes, but if the data is easily accessible then it shouldn't get tossed.
…proceeds to make a bunch of non-factual statements.
To clarify, we communicated this incident to the personalized status page [1] of all affected customers within 30 minutes of this single host going down, and resolved the incident on the status page once it was resolved ~47h later. Here's the timeline (UTC):
- 2023-07-17 16:19 - host goes down
- 2023-07-17 16:49 - issue posted to personalized status page
- 2023-07-19 15:00 - host is fixed
- 2023-07-19 15:17 - issue marked resolved on status page
The bad news is that I'd be out of a job if I chose your service in this instance. 47 hours is two full days. For an entire cluster to be down for that long is just unacceptable. Rebuilding a cluster from the last-known-good backup should not take that long, unless there are PBs of data involved; dividing such large data stores into separate clusters/instances seems warranted. Solution archs should steer customers to multiple, smaller clusters (sharding) whenever possible. It is far better to have some customers impacted (or just some of your customer's customers) than have all impacted, in my not so humble opinion.
And, if the data size is smaller, you may want to trigger a full rebuild earlier in your DR workflows just as an insurance policy.
The good news is that only a single cluster was impacted. When the "big boys" go down, everything is impacted... but customers don't really care about that.
Not sure if this impacted customer had other instances that were working for them?
There was one physical server down. That's it. They even brought it back.
I've had AWS delete more instances, including all local NVMe store data, than I can count on my hands. Just in the last year.
Those instances didn't experience 47 hours downtime, they experienced infinite downtime, gone forever.
I guess by your standard I'd be fired for using AWS too.
But no, in reality, AWS deletes or migrates your instances all the time due to host hardware failure, and it's fine because if you know what you're doing, you have multiple instances across multiple AZs.
The same is true of fly. Sometimes underlying hardware fails (exactly like on AWS), and when that happens, you have to either have other copies of your app, or accept downtime.
I'll also add that the downtime is only 47 hours for you if you don't have the ability to spin up a new copy on a separate fly host or AZ in the meanwhile.
> If your instance root device is an instance store volume, the instance is terminated, and cannot be used again.
See also the aws "Dedicated Hosts" and "Mac Instances". Those also have similar termination behavior.
The majority of my instances lost are from the instance store thing.
Combine that with them having tooling for setting up Postgres built on top of single node storage, and you have the downtime problems and unhappy customers as a given.
I've never experienced AWS killing nodes forever; at least not DB instances.
> Rebuilding a cluster from the last-known-good backup should not take that long
It's not even clear if that's the right thing to do as a service provider.
Let's say you host a database on some database service, and the entire host is lost. I don't think you want the service provider to restore automatically from the last backup because it makes assumptions about what data loss you're tolerant to. If it just works from the last backup, suddenly you're potentially missing a day of transactions that you thought were there that magically disappears as opposed to knowing they disappeared from a hard break.
That's how other [useful] providers notify their customers that one of their hosts went down unexpectedly. Linode will send me 6 emails when they need to reboot something. Even Oracle sends me notices about network blips. I believe I've gotten one from AWS, but I also know sometimes their gear gets stuck in a bad state and I didn't get a notification, which was super annoying because it took forever to figure out it was AWS's faulty state.
Fly.io messed up, they didn't want to be a Heroku clone, but their marketing and their polished user experience design made it seem like they would be one anyway.
And as a reward now they have to deal with bottom of the barrel Heroku users that manage to do major damage to their brand whenever a single host goes down. Who would have predicted that corporate risk?
>> I get that due to the nature of their plans and architecture, downtime like this is guaranteed and normal. What other cloud providers have downtimes of 20 hours? There must be a lot to call this "guaranteed and normal".
Sadly, I've always felt a good amount of passive aggressiveness in many of the HN threads where fly.io is involved.
- it seems their staff were working on the issue before customers noticed it.
- once paid support was emailed, it took many hours for them to respond.
- it took about 20 hours for an update from them on the downed host.
- they weren't updating their users that were affected about the downed host or ways to recover.
- the status page was bullshit - just said everything was green even though they told customers in their own dashboard they had emergency maintenance going on.
I get that due to the nature of their plans and architecture, downtime like this is guaranteed and normal. But communication this poor is going to lose you customers. Be like other providers, who spam me with emails whenever a host I'm on even feels ticklish. Then at least I can go do something for my own apps immediately.