A $1k AWS mistake
geocod.io
geocod.io
And it’s always the same - clouds refuse to provide anything more than alerts (that are delayed) and your only option is prayer and begging for mercy.
Followed by people claiming with absolute certainty that it’s literally technically impossible to provide hard capped accounts to tinkerers despite there being accounts like that in existence already (some azure accounts are hardcapped by amount but ofc that’s not loudly advertised).
It's easier to waive cost overages than deal with any of that.
AWS is less like your garage door and more like the components to build an industrial-grade blast-furnace - which has access doors as part of its design. You are expected to put the interlocks in.
Without the analogy, the way you do this on AWS is:
1. Set up an SNS queue
2. Set up AWS budget notifications to post to it
3. Set up a lambda that watches the SNS queue
And then in the lambda you can write your own logic which is smart: shut down all instances except for RDS, allow current S3 data to remain there but set the public bucket to now be private, and so on.
The obvious reason why "stop all spending" is not a good idea is that it would require things like "delete all my S3 data and my RDS snapshots" and so on which perhaps some hobbyist might be happy with but is more likely a footgun for the majority of AWS users.
In the alternative world where the customer's post is "I set up the AWS budget with the stop-all-spending option and it deleted all my data!" you can't really give them back the data. But in this world, you can give them back the money. So this is the safer one than that.
I run my home-dev stuff on Digital ocean and had to write my own cronjob which polls for usage cost and kills everything if I exceed X.
No better than AWS in terms of "don't financially ruin me if i'm targeted by a DDOS"
It is technically impossible. In that no tech can fix the greed of the people taking these decisions.
> No cloud provides wants to give their customers that much rope to hang themselves with.
They are so benevolent to us...
Data transfer can be pulled into the same model by having an alternate internet gateway model where you pay for some amount of unmetered bandwidth instead of per byte transfer, as other providers already do.
Actual spikey traffic that you can't plan for or react to is something I've never heard of, and believe is a marketing myth. If you find yourself actually trying to suddenly add a lot of capacity, you also learn that the elasticity itself is a myth; the provisioning attempt will fail. Or e.g. lambda will hit its scaling rate limit way before a single minimally-sized fargate container would cap out.
If you don't mind the risk, you could also just not set a billing limit.
The actual reason to use clouds is for things like security/compliance controls.
I also expect that in reality, if you regularly try to provision 10,000 cores of capacity at once, you'll likely run into provisioning failures. Trying to cost optimize your business at that level at the risk of not being able to handle your daily needs is insane, and if you needed to take that kind of risk to cut your compute costs by 6x, you should instead go on-prem with full provisioning.
Having your servers idle 85% of the day does not matter if it's cheaper and less risky than doing burst provisioning. The only one benefiting from you trying to play utilization optimization tricks is Amazon, who will happily charge you more than those idle servers would've cost and sell the unused time to someone else.
When my computer runs out of hard drive it crashes, not goes out on the internet and purchases storage with my credit card.
And why is that a problem? And how different is that from "forgetting" to pay your bill and having your production environment brought down?
AWS will remind you for months before they actually stop it.
1) you hit the cap 2) aws sends alert but your stuff still runs at no cost to you for 24h 3) if no response. Aws shuts it down forcefully. 4) aws eats the “cost” because lets face it. It basically cost them 1000th of what they bill you for. 5) you get this buffer 3 times a year. After that. They still do the 24h forced shutdown but you get billed. Everybody wins.
Since there are in fact two ropes, maybe cloud providers should make it easy for customers to avoid the one they most want to avoid?
I've used AWS for about 10 years and am by no means an expert, but I've seen all kinds of ugly cracks and discontinuities in design and operation among the services. AWS has felt like a handful of very good ideas, designed, built, and maintained by completely separate teams, littered by a whole ton of "I need my promotion to VP" bad ideas that build on top of the good ones in increasingly hacky ways.
And in any sufficiently large tech orgnization, there won't be anyone at a level of power who can rattle cages about a problem like this, who will want to be the one to do actually it. No "VP of Such and Such" will spend their political capital stressing how critical it is that they fix the thing that will make a whole bunch of KPIs go in the wrong direction. They're probably spending it on shipping another hacked-together service with Web2.0-- er. IOT-- er. Blockchai-- er. Crypto-- er. AI before promotion season.
I have budgets set up and alerts through a separate alerting service that pings me if my estimates go above what I've set for a month. But it wouldn't fix a short term mistake; I don't need it to.
It wasn't when the service was first created. What's intentionally malicious is not fixing it for years.
Somehow AI companies got this right form the get go. Money up front, no money, no tokens.
It's easy to guess why. Unlike hosting infra bs, inference is a hard cost for them. If they don't get paid, they lose (more) money. And sending stuff to collections is expensive and bad press.
That’s not a completely accurate characterization of what’s been happening. AI coding agent startups like Cursor and Windsurf started by attracting developers with free or deeply discounted tokens, then adjusted the pricing as they figure out how to be profitable. This happened with Kiro too[1] and is happening now with Google’s Antigravity. There’s been plenty of ink spilled on HN about this practice.
[1] disclaimer: I work for AWS, opinions are my own
I haven’t seen any of the major model providers have a system where you use as many tokens as you want and then they bill you, like AWS has.
I dunno, Aurora’s pricing structure feels an awful lot like that. “What if we made people pay for storage and I/O? And we made estimating I/O practically impossible?”
Even if you are not currently hitting performance limits of your current engine, Aurora would maintain the same throughput and latency on smaller instance classes. Which is where the potential cost savings come from...
On top of that, with Aurora Serverless with variable and unpredictable workloads you could have important cost savings.
You can get an insane amount of performance out of a well-tuned MySQL or Postgres instance, especially if you’ve designed your schema to exploit your RDBMS’ strengths (e.g. taking advantage of InnoDB’s clustering index to minimize page fetches for N:M relationships).
And if you really need high performance, you use an instance with node-local NVMe storage (and deal with the ephemerality, of course).
0: https://hackmysql.com/are-aurora-performance-claims-true/
Also from the link...when MySQL is properly tuned, the performance gap narrows substantially but is still 1,5x to 3x for the workloads tested in the article something I would call massive.
Most workloads are somewhere between 90:10 to 98:2 reads:writes, and most tables have at least one (if not more) secondary indices.
You’re of course welcome to disagree, but speaking as a DBRE who has used both MySQL and Postgres, RDS and Aurora in production, I’m telling you that Aurora does not win on performance.
The biggest cool thing Aurora MySQL does, IMO, is maintain the buffer pool on restarts. Not just dump / restore, but actually keeps its residence. They split it out from the main mysqld process so restarting it doesn’t lose the buffer pool.
But all in all, IMO it’s hideously expensive, doesn’t live up to its promises, and has some serious performance problems due to the decision to separate compute and storage by a large physical distance (and its simplification down to redo log only): for example, the lack of a change buffer means that secondary indices have to be written synchronously. Similarly, since AWS isn’t stupid, they have “node-local” (it’s EBS) temporary storage, which is used to build the aforementioned secondary indices, among other things. The size of this is not adjustable, and simply scales with instance size. So if you have massive tables, you can quite easily run out of room in this temporary storage, which at best kills the DDL, and at worst crashes the instance.
It's someone in a Patagonia vest trying to avoid getting PIP'd.
Unfortunately, that's not correct. A multi-trillion dollar company most absolutely has not just such a person, but many departments with hundreds of people tasked with precisely that, maximizing revenue by exploting every dark pattern they can possibly think of.
It would be good to provide a factual basis for such a confident contradiction of the GP. This reads as “no, your opinion is wrong because my opinion is right”.
The lack of business case is the most likely culprit. "You want to put engineering resources into something that only the $100/mo guys are going to use?"
You might be tempted to think "but my big org will use that", but I can guarantee compliance will shut it down -- you will never be permitted to enable a feature that intentionally causes hard downtime when (some external factor) happens.
Conversely the first time someone hits an edge case in billing limits and their site goes down, losing 10k worth of possible customer transactions there's no way to unring that bell.
The second constituency are also, you know, the customers with real cloud budgets. I don't blame AWS for not building a feature that could (a) negatively impact real, paying customers (b) is primarily targeted at people who by definition don't want to pay a lot of money.
But hey, let's say you have different priorities than me. Then why not bot? Why not let me set the hard cap? Why Amazon insists on being able to bill me on more than my business is worth if I make a mistake?
But an opt in „id rather you deleting data/disable than send me a 100k bill“ toggle with suitable disclaimers would mean people can safely learn.
Thats way everyone gets what they want. (Well except cloud provider who presumably don’t like limits on their open ended bills)
Still sounds kind of ugly.
The key problem is that data loss is really bad pr which cannot be reversed. Overcharge can be reversed. In a twisted way it might even strengthen the public image, I have seen that happen elsewhere.
But over the last few years, people have convinced themselves that the cost of ignorance is low. Companies hand out unlimited self-paced learning portals, tick the “training provided” box, and quietly stop validating whether anyone actually learned anything.
I remember when you had to spend weeks in structured training before you were allowed to touch real systems. But starting around five or six years ago, something changed: Practitioners began deciding for themselves what they felt like learning. They dismantled standard instruction paths and, in doing so, never discovered their own unknown unknowns.
In the end, it created a generation of supposedly “trained” professionals who skipped the fundamentals and now can’t understand why their skills have giant gaps.
The expectation that it just works is mostly a good thing.
Not if its an Airbus A220 or similar. They made it easy to take off, but it is still a large commercial aircraft...easy to fly...for pilots...
https://news.ycombinator.com/item?id=45975411
I agree that it’s likely very technically difficult to find the right balance between capping costs and not breaking things, but this shows that it’s definitely possible, and hopefully this signals that AWS is interested in doing this in other services too.
It solves the problem of unexpected requests or data transfer increasing your bill across several services.
https://aws.amazon.com/blogs/networking-and-content-delivery...
Does "data transfer" not mean CDN bandwidth here? Otherwise, that price seems two orders of magnitude less than I would expect
I have no idea what these terms mean in practice
The "Always-on DDoS Protection" on L7 is protection against massive requests spikes, built natively into CloudFront. Detection and mitigation of these attacks happens inline.
The "Advanced DDoS Protection" on L7 is adjustable, score-based DDoS protection configurable on AWS WAF (https://aws.amazon.com/blogs/networking-and-content-delivery...). Detection and mitigation of these attacks happens within seconds.
[edit: looks like there's no overages but they may force you to flip to the next tier and seems like they will throttle you https://docs.aws.amazon.com/AmazonCloudFront/latest/Develope....]
You can transfer from S3 on a single instance usually as fast as the instances NIC--100Gbps+
You'd need a synchronous system that checks quotas before each request and for a lot of systems you'd also need request cancellation (imagine transferring a 5TiB file from S3 and your cap triggers at 100GiB--the server needs to be able to receive a billing violation alert in real time and cancel the request)
I imagine anything capped provided to customers already AWS just estimates and eats the loss
Obviously such a system is possible since IAM/STS mostly do this but I suspect it's a tradeoff providers are reluctant to make
Also, consider using fck-nat (https://fck-nat.dev/v1.3.0/) instead of NAT gateways unless you have a compelling reason to do otherwise, because you will save on per-Gb traffic charges.
(Or, just run your own Debian nano instance that does the masquerading for you, which every old-school Linuxer should be able to do in their sleep.)
Only half-joking. When something grossly underperforms, I do often legitimately just pull up calc.exe and compare the throughput to the number of employees we have × 8 kbit/sec [0], see who would win. It is uniquely depressing yet entertaining to see this outperform some applications.
[0] spherical cow type back of the envelope estimate, don't take it too seriously; assumes a very fast 200 wpm speech, 5 bytes per word, and everyone being able to independently progress
It's a free service after all.
And ok, this is a mistake you will probably only make once - I know, because I too have made it on a much smaller scale, and thankfully in a cost-insensitive customer's account - but surely if you're an infrastructure provider you want to try to ensure that you are vigilantly removing footguns.
It's annoying because this is by far the more uncommon case for a VPC, but I think it's the right way to structure, permissions and access in general. S3, the actual service, went the other way on this and has desperately been trying to reel it back for years.
I wouldn’t even think about doing ClickOps. I’ve worked with AWS for 8 years and I doubt I’ve ever created a resource manually in the console.
A parallel to this is how SES handles permission to send emails. There are checks and hoops to jump through to ensure you can't send out spam. But somehow, letting DevOps folk shoot themselves in the foot (credit card) is ok.
What has been done is the monetary equivalent of "fail unsafe" => "succeed expensively"
Then it is still blocked unless you add a NAT gateway or Internet gateway to the VPC and at a route to them.
If you are doing all of this via IAC, you have to take a lot of steps to make this happen. On the other hand, if I’m using an EC2 instance to run an ETL job from data stored on S3, I’m not putting that EC2 instance in a subnet with internet access in the first place. Why would I?
And no you don’t need internet access to access the EC2 instance ftom your computer even without a VPN. You use System Manager Session Manager.
I do the same with lambda - attach then to a VPC without internet access with the appropriate endpoints. Even if they are serving an API, they are still using an API gateway
My point is that, architecturally, is there ever in the history of AWS an example where a customer wants to pay for the transit of same-region traffic when a check box exists to say "do this for free"? Authorization and transit/path are separate concepts.
There has to be a better experience.
It seems there is a gap between "how things are" and "how things should be".
"Transiting the internet" vs. "Cost-free intra-region transit" is an entirely different question than "This EC2 has access to S3 bucket X" or "This EC2 does not have access to S3 bucket X".
Somewhere, somehow, that fact should be exposed in the design of the configuration of roles/permissions/etc. so that enabling cost-free intra-region S3 access does not implicitly affect security controls.
And if there are any interoperability concerns, you offer an ability to opt-out with that (instead of opting in).
There is precedent for all of this at AWS.
This is breaking existing IAAC configurations because they rely on the default. You will never see the change you're describing except in security-related scenarios
> There is precedent for all of this at AWS.
Any non-security IAAC default changes you can point to?
Why it should not be done:
1. It mutates routing. Gateway Endpoints inject prefix-list routes into selected route tables. Many VPCs have dozens of RTs for segmentation, TGW attachments, inspection subnets, EKS-managed RTs, shared services, etc. Auto-editing them risks breaking zero-trust boundaries and traffic-inspection paths.
2. It breaks IAM / S3 policies. Enterprises commonly rely on aws:sourceVpce, aws:SourceIp, Private Access Points, SCP conditions, and restrictive bucket policies. Auto-creating a VPCE would silently bypass or invalidate these controls.
3. It bypasses security boundaries. A Gateway Endpoint forces S3 traffic to bypass NAT, firewalls, IDS/IPS, egress proxies, VPC Lattice policies, and other mandatory inspection layers. This is a hard violation for regulated workloads.
4. Many VPCs must not access S3 at all. Air-gapped, regulated, OEM, partner-isolated, and inspection-only VPCs intentionally block S3. Auto-adding an endpoint would break designed isolation.
5. Private DNS changes behavior. With Private DNS enabled, S3 hostname resolution is overridden to use the VPCE instead of the public S3 endpoint. This can break debugging assumptions, routing analysis, and certain cross-account access patterns.
6. AWS does not assume intent. The VPC model is intentionally minimal. AWS does not auto-create IGWs, NATs, Interface Endpoints, or egress paths. Defaults must never rewrite user security boundaries.
How are you inspecting zero-trust traffic? Not at the gateway/VPC level, I hope, as naive DPI there will break zero-trust.
If it breaks closed as it should, then it is working as intended.
If it breaks open, guess it was just useless pretend-zero-trust security theatre then?
“We have no idea what your intent is, so we’ll default to routing AWS-AWS traffic expensively” is way, way worse than forcing users to be explicit about their intent.
Minimal is a laudable goal - but if a footgun is the result then you violate the principle of least surprise.
I rather suspect the problem with issues like this is that they mainly catch the less experienced, who aren’t an AWS priority because they aren’t where the Big Money is.
https://docs.aws.amazon.com/vpc/latest/userguide/egress-only...
Oof, this hit home, hah.
I uploaded a small xls with uid and prodid columns and then kind of forgot about it.
A few months later I get a note from bank saying your account is overdrawn. The account is only used for freelancing work which I wasn't doing at the time, so I never checked that account.
Looks like AWS was charging me over 1K / month while the algo continuously worked on that bit of data that was uploaded one time. They charged until there was no money left.
That was about 5K in weekend earnings gone. Several months worth of salary in my main job. That was a lot of money for me.
Few times I've felt so horrible.
And of course I give every online service a separate virtual credit card (via privacy dot com, but your bank may issue them directly) with a spend limit set pretty close to the expected usage.
I have never understood why the S3 endpoint isn't deployed by default, except to catch people making this exact mistake.
Cloud cult was successfully promoted by all major players, and people have completely forgotten about the possibilities of traditional hosting.
But when I see a setup form for an AWS service or the never-ending list of AWS offerings, I get stuck almost immediately.
BTW you can of course self-host k8s, or dokku, or whatnot, and have as easy a deployment story as with the cloud. (But not necessarily as easy a maintenance story for the whole thing.)
That's my whole point. Zero maintenance.
For a tinkerer who's focused on the infra, then sure, hosting your own can make sense. But for anyone who's focused on literally anything else, it doesn't make any sense.
Are you really going to trust Claude Code to recover in that situation? Do you think it will? I've had DB primaries fail on managed DBs like AWS RDS and Google Cloud SQL, and recovery is generally automatic within minutes. You don't have to lift a finger.
Same goes for something like a managed k8s cluster, like EKS or GKE. There's a big difference between using a fully-managed service and trying to replicate a fully managed system on your own with the help of an LLM.
Of course it does boil down to what you need. But if you need reliability and don't want to have to deal with admin, managed services can make life much simpler. There's a whole class of problems I simply never have to think about.
This is such an imaginary problem. The examples like this you hear about are inevitably the outliers who didn't pay any attention to this issue until they were forced to.
For most services, it's incredibly easy to constrain your costs anyway. You do have to pay attention to the pricing model of the services you use, though - if a DDOS is going to generate a big cost for you, you probably made a bad choice somewhere.
> You really can't think of _one_ case where self hosting makes any sense?
Only if it's something you're interested in doing, or if you're so big you can hire a team to deal with that. Otherwise, why would you waste time on it?
I kind of assume that goes without saying, but you're right.
The company I'm with does model training on cloud GPUs, but it has funding for that.
> RDS + EKS for a couple hundred a month is an amazing deal for what is essentially zero maintenance application hosting.
Right. That's my point, and aside from GPU, pretty much any normal service or app you need to run can be deployed on that.
... or for a big company. I've worked at companies with thousands of developers, and it's all been 'self hosted'. In DCs, so not rinky dink, but yes, and there's a lot of advantages to doing it this way. If you set it up right, it can be much easier for developers to use than AWS.
"I'd like to spend the next sprint on S3 endpoints by default"
"What will that cost"
"A bunch of unnecessary resources when it's not used"
"Will there be extra revenue?"
"Nah, in fact it'll reduce our revenue from people who meant to use it and forgot before"
"Let's circle back on this in a few years"
I get pulled into a fair number of "why did my AWS bill explode?" situations, and this exact pattern (NAT + S3 + "I thought same-region EC2→S3 was free") comes up more often than you’d expect.
The mental model that seems to stick is: S3 transfer pricing and "how you reach S3" pricing are two different things. You can be right that EC2→S3 is free and still pay a lot because all your traffic goes through a NAT Gateway.
The small checklist I give people:
1. If a private subnet talks a lot to S3 or DynamoDB, start by assuming you want a Gateway Endpoint, not the NAT, unless you have a strong security requirement that says otherwise.
2. Put NAT on its own Cost Explorer view / dashboard. If that line moves in a way you didn’t expect, treat it as a bug and go find the job or service that changed.
3. Before you turn on a new sync or batch job that moves a lot of data, sketch (I tend to do this with Mermaid) "from where to where, through what, and who charges me for each leg?" It takes a few minutes and usually catches this kind of trap.
Cost Anomaly Detection doing its job here is also the underrated part of the story. A $1k lesson is painful, but finding it at $20k is much worse.
Crucial for the approval was that we had cost alerts already enabled before it happened and were able to show that this didn't help at all, because they triggered way too late. We also had to explain in detail what measures we implemented to ensure that such a situation doesn't happen again.
Do you just delete when the limit is hit?
> (the cap should be a rate, not a total)
this is _way_ more complicated than there being a single cap.
The cap can be opt-in.
People will opt into this cap, and then still be surprised when their site gets shut down.
It's great for ML research too, as you can just SSH into a pod with VScode and drag in your notebooks and whatnot as if it were your own computer, but with a 5090 available to speed up training.
s/everyone has/a bunch of very small customers have/
Hard no. Had to pay I think 100$ for premium support to find that out.
A bunch of data went down the "wrong" pipe, but in reality most likely all the data never left their networks.
How does this actually work? So you upload your data to AWS S3 and then if you wish to get it back, you pay per GB of what you stored there?
You can see why, from a sales perspective: AWS' customers generally charge their customers for data they download - so they are extracting a % off that. And moreover, it makes migrating away from AWS quite expensive in a lot of circumstances.
Please get some training...and stop spreading disinformation. And to think on this thread only my posts are getting downvoted....
"Free data transfer out to internet when moving out of AWS" - https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-i...
People are trying to tell you something with the downvotes. They're right.
In the link you posted, it even says Amazon can't actually tell if you're leaving AWS or not so they're going to charge you the regular rate. You need explicit approval from them to get this 'free' data transfer.
There is nothing in the blog suggesting that this requires approval from some committee or that it is anything more than a simple administrative step. And if AWS were to act differently, you have grounds to point to the official blog post and request that they honor the stated commitment.
Egress bandwidth costs money. Consumer cloud services bake it into a monthly price, and if you’re downloading too much, they throttle you. You can’t download unlimited terabytes from Google Drive. You’ll get a message that reads something like: “Quota exceeded, try again later.” — which also sucks if you happen to need your data from Drive.
AWS is not a consumer service so they make you think about the cost directly.
Sure you can just ram more connections through the lossy links from budget providers or use obscure protocols, but there's a real difference.
Whether it's fairly priced, I suspect not.
Can you share your tuning parameters on each host? If you aren't doing exactly the same thing on AWS as you are on Hetzner you will see different results.
Bypassing the TCP issue I can see nothing indicating low network quality, a single UDP iperf3 pass maintains line rate speed without issue.
Edit: My ISP peers with Hetzner, as do many others. If you think it's "lossy" I'm sure someone in network ops would want to know about it. If you're getting random packet loss across two networks you can have someone look into it on both ends.
Though important to note in this specific case was a misconfiguration that is easy to make/not understand in the data was not intended to leave AWS services (and thus should be free) but due to using the NAT gateway, data did leave the AWS nest and was charged at a higher data rate per GB than if just pulling everything straight out of S3/EC2 by about an order of magnitude (generally speaking YMMV depending on region, requests, total size, if it's an expedited archival retrieval etc etc)
So this is an atypical case, doesn't usually cost $1000 to pull 20TB out of AWS. Still this is an easy mistake to make.
We are programmed to receive. You can check out any time you like, but you can never leave
And people wonder why Cloudflare is so popular, when a random DDoS can decide to start inflicting costs like that on you.
But “security” people might say. Well, you can be secure and keep the behavior opt out, but you should be able to have an interface that is upfront and informs people of the implications
I was lucky to have experienced all of the same mistakes for free (ex-Amazon employee). My manager just got an email saying the costs had gone through the roof and asked me to look into it.
Feel bad for anyone that actually needs to cough up money for these dark patterns.
Sure, it decreases the time necessary to get something up running, but the promises of cheaper/easier to manage/more reliable have turned out to be false. Instead of paying x on sysadmin salaries, you pay 5x to mega corps and you lose ownership of all your data and infrastructure.
I think it's bad for the environment, bad for industry practices and bad for wealth accumulation & inequality.
Assuming he got it working he could have opened service without directly going further in debt with the caviat that if he messed up the pricing model, and it took off, it could have annihilated his already dead finances.
AWS just yesterday launched flat rate pricing for their CDN (including a flat rate allowance for bandwidth and S3 storage), including a guaranteed $0 tier. It’s just the CDN for now, but hopefully it gets expanded to other services as well.
- raw
- click-ops
Because, when you build your infra from scratch on AWS, you absolutely don't want the service gateways to exist by default. You want to have full control on everything, and that's how it works now. You don't want AWS to insert routes in your route tables on your behalf. Or worse, having hidden routes that are used by default.
But I fully understand that some people don't want to be bothered but those technicalities and want something that work and is optimized following the Well-Architected Framework pillars.
IIRC they already provide some CloudFormation Stacks that can do some of this for you, but it's still too technical and obscure.
Currently they probably rely on their partner network to help onboard new customers, but for small customers it doesn't make sense.
Why? My work life is in terraform and cloudformation and I can't think of a reason you wouldn't want to have those by default. I mean I can come up with some crazy excuses, but not any realistic scenario. Have you got any? (I'm assuming here that they'd make the performance impact ~0 for the vpc setup since everyone would depend on it)
If I declare two aws_route resources for my route table, I don't want a third route existing and being invisible.
I agree that there is no logical reason to not want a service gateway, but it doesn't mean that it should be here by default.
The same way you need to provision an Internet Gateway, you should create your services gateways by yourself. TF modules are here to make it easier.
Everything that comes by default won't appear in your TF, so it becomes invisible and the only way to know that it exists is to remember that it's here by default.
We are primarily using Hetzner for the self-serve version of Geocodio and have been a very happy customer for decades.
I learned AWS the same way most "bootstrapped" people do, with the free tier. Maybe it's more of a minefield than it was a decade ago.
The key is, do not make decisions lightly in the cloud, just because something is easy to enable in the UI does not mean it's recommended. Sit down with the pricing page or calculator and /really/ think over your use case. Get used to thinking about your infrastructure in terms of batch jobs instead of real time and understand the implementation and import of techniques like "circuit breakers."
Once you get the hang of it it's actually very easy and somewhat liberating. It's really easy to test solutions out in a limited form and then completely tear them down. Personally I'm very happy that I put the effort in.
Actually I am not willing to spend that much time reading "cloud" provider docs and best practices.
What I care about is hosting services and getting the mission done. I value predictable and reasonable costs much more than "flexibility".
In general whatever host I have ever used typically have "cloud" offerings too. So real services go to dedicated hosts, experiments go into 5 buck a month vms.
It doesn't take that much time just intentional reading to learn something new. Do you not read any docs?
> I value predictable and reasonable costs much more than "flexibility".
The point is that these aren't mutually exclusive.
> So real services go to dedicated hosts
And when it becomes overloaded, needs upgrading, or requires other maintenance? There's a problem I've completely left behind.
There is a tradeoff, between the time it takes to read the docs and the time it would take to achieve what you want to do with another tool which you are either familiar with or is simpler. A very important factor for that balance is how reusable and how reapplicable the knowledge you will gain will be. I am perfectly happy reading docs for PostgreSQL, Varnish, nginx and many other things if it will help me achieve my goal. But when it comes to cloud providers I am not willing to spend a minute reading how to vendor lock my stack on their platform. If there is a standalone service I might want to use like SQS or SES sure, but most other things are a hard pass, I would rather have a dedicated host.
> The point is that these aren't mutually exclusive.
They are really not, cloud providers charge incredibly high rates for both bandwidth and computational resources so there goes the reasonable part. The usage based pricing they use is typically not capped so you are always a misconfiguration away from incurring many times your monthly costs on bandwidth charges (see a similar case from azure https://news.ycombinator.com/item?id=30054739). To add insult to injury you usually get inferior performance.
> And when it becomes overloaded, needs upgrading, or requires other maintenance? There's a problem I've completely left behind.
You have replaced these problems with having to deal with the cloud providers. It costs time to deal with their impenetrable pricing, processes and abstractions. Do yourself a favor and track how much time you spend dealing with their tools and how much time and effort you spend trying to optimize costs.
Upgrades and maintenance are not really solved, depending on the products you use. If you are using EC2 you still need to do upgrades and maintenance exactly like you would with bare metal. Now if you are using a serverless approach you might be clear of that too, but in general docker helps a lot with removing a lot of the pain of using bare metal.
Overloading is typically easily solved by over provisioning and yeah if you have very spiky usage patterns it might make sense to use a cloud provider. If your typical load can be dealt by 1 Hetzner node but you need 20 nodes 2% of the time you might be better off using a cloud provider. Modern hardware though has a lot of capability and while you don't have an "entire datacenter" to fall back on like you would with AWS a few bare metal nodes can handle a very large volume of requests depending on your use case.
If you don't have a specific need for a specific service they are offering stay away, it's a giant ripoff.
If you need generic stuff like VMs, data storage, etc. You are much better of using Hetzner, OVH, etc, and some standalone CDN if you need one.
But of course, the incentive to optimize this is not there.
This should be illegal. If you can't inform me about the bill on my request you shouldn't be legally able to charge me that bill. Although I can already imagine plenty of ways somebody could do malicious compliance with that rule.
It's all in the docs: https://docs.aws.amazon.com/vpc/latest/privatelink/concepts....
>There is another type of VPC endpoint, Gateway, which creates a gateway endpoint to send traffic to Amazon S3 or DynamoDB. Gateway endpoints do not use AWS PrivateLink, unlike the other types of VPC endpoints. For more information, see Gateway endpoints.
Even the first page of VPC docs: https://docs.aws.amazon.com/vpc/latest/userguide/what-is-ama...
>Use a VPC endpoint to connect to AWS services privately, without the use of an internet gateway or NAT device.
The author of the blog writes:
> When you're using VPCs with a NAT Gateway (which most production AWS setups do), S3 transfers still go through the NAT Gateway by default.
Yes, you are using a virtual private network. Where is it supposed to go? It's like being surprised that data in your home network goes through a router.
I think it's okay if someone missed something in the docs and wanted to share from their experience. In fact, if you look at the the s3 pricing page [0], under Data Transfer, VPC endpoints are mentioned at all. It simply says data transfer is free between AWS services in the same region. I think that much detail would be enough to reasonably assume you didn't have to set up additional items to accomplish.
The solution is to move your processing infrastructure to Hetzner.
Make sure they go to an list with multiple people on it. Make sure someone pays attention to that email list.
It's free and will save your bacon.
I've also had good luck asking for forgiveness. One time I scaled up some servers for an event and left them running for an extra week. I think the damage was in the 4 figures, so not horrendous, but not nothing.
An email to AWS support led to them forgiving a chunk of that bill. Doesn't hurt to ask.
Personally I miss ephemeral storage - having the knowledge that if you start the server from a known good state, going back to that state is just a reboot away. Way back when I was in college, a lot of out big-box servers worked like this.
You can replicate this on AWS with snapshots or formatting the EBS volume into 2 partitions and just clearing the ephemeral part on reboot, but I've found it surprisingly hard to get it working with OverlayFS
And then writing “I regret it” posts that end up on HN.
Why are people not getting the message to not use AWS?
There’s SO MANY other faster cheaper less complex more reliable options but people continue to use AWS. It makes no sense.
https://www.ionos.com/servers/cloud-vps
$22/month for 18 months with a 3-year term 12 vCores CPU 24 GB RAM 720 GB NVMe
Unlimited 1Gbps traffic
And even EC2 is not just a VPS
If you need a simple VPS, yes, by all means, don't use AWS.
For this usecase AWS is definitely not cheaper nor simpler. Nobody said that. Ever.
Anything AWS does you can run on Linux computers.
It’s naive to think that AWS is some sort of magically special system that transcends other networked computers, out of brand loyalty.
That’s the AWS kool aid that makes otherwise clever people think there’s no way any organization can run their own computer systems - only AWS has the skills for that.
But you are absolutely right, I'm drinking the AWS kool aid like thousands of other otherwise clever people who don't know that AWS is just Linux computers!
I sometimes feel bad using people's services built with S3 as I know my personal usage is costing them a lot of money despite paying them nothing.
- DevOopsUnexpected, large AWS charges have been happening for so long, and so egregiously, to so many people, including myself, that we must assume it's by design of Amazon.
Also as a shameless plug: Vantage covers this is exact type of cost hiccup. If you aren't already using it, we have a very generous free tier: https://www.vantage.sh/
It really shows the Silicon Vally disconnect with the real world, where money matters.
And I can see how, in very big accounts, small mistakes on your data source when you're doing data crunching, or wrong routing, can put thousands and thousands of dollars on your bill in less than an hour.
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0: https://blog.cloudflare.com/aws-egregious-egress/By default a NGW is limited to 5Gbps https://docs.aws.amazon.com/vpc/latest/userguide/nat-gateway...
A GB transferred through a NGW is billed 0.05 USD
So, at continuous max transfer speed, it would take almost 9 hours to reach $1000
Assuming a setup in multi-AZ with three AZs, it's still 3 hours if you have messed so much that you can manage to max your three NGWs
I get your point but the scale is a bit more nuanced than "thousands and thousands of dollars on your bill in less than an hour"
The default limitations won't allow this.
Let's say they decide to recalculate or test a algorithm: they do parallel data loading from the bucket(s), and they're pulling from the wrong endpoint or region, and off they go.
And maybe they're sending data back, so they double the transfer price. RDS Egress. EC2 Egress. Better keep good track of your cross region data!