Comment by adamcharnock
17 hours ago
This is an industry we're[0] in. Owning is at one end of the spectrum, with cloud at the other, and a broadly couple of options in-between:
1 - Cloud – This is minimising cap-ex, hiring, and risk, while largely maximising operational costs (its expensive) and cost variability (usage based).
2 - Managed Private Cloud - What we do. Still minimal-to-no cap-ex, hiring, risk, and medium-sized operational cost (around 50% cheaper than AWS et al). We rent or colocate bare metal, manage it for you, handle software deployments, deploy only open-source, etc. Only really makes sense above €$5k/month spend.
3 - Rented Bare Metal – Let someone else handle the hardware financing for you. Still minimal cap-ex, but with greater hiring/skilling and risk. Around 90% cheaper than AWS et al (plus time).
4 - Buy and colocate the hardware yourself – Certainly the cheapest option if you have the skills, scale, cap-ex, and if you plan to run the servers for at least 3-5 years.
A good provider for option 3 is someone like Hetzner. Their internal ROI on server hardware seems to be around the 3 year mark. After which I assume it is either still running with a client, or goes into their server auction system.
Options 3 & 4 generally become more appealing either at scale, or when infrastructure is part of the core business. Option 1 is great for startups who want to spend very little initially, but then grow very quickly. Option 2 is pretty good for SMEs with baseline load, regular-sized business growth, and maybe an overworked DevOps team!
[0] https://lithus.eu, adam@
I think the issue with this formulation is what drives the cost at cloud providers isn't necessarily that their hardware is too expensive (which it is), but that they push you towards overcomplicated and inefficient architectures that cost too much to run.
A core at this are all the 'managed' services - if you have a server box, its in your financial interest to squeeze as much per out of it as possible. If you're using something like ECS or serverless, AWS gains nothing by optimizing the servers to make your code run faster - their hard work results in less billed infrastructure hours.
This 'microservices' push usually means that instead of having an on-server session where you can serve stuff from a temporary cache, all the data that persists between requests needs to be stored in a db somewhere, all the auth logic needs to re-check your credentials, and something needs to direct the traffic and load balance these endpoint, and all this stuff costs money.
I think if you have 4 Java boxes as servers with a redundant DB with read replicas on EC2, your infra is so efficient and cheap that even paying 4x for it rather than going for colocation is well worth it because of the QoL and QoS.
These crazy AWS bills usually come from using every service under the sun.
The complexity is what gets you. One of AWS's favorite situations is
1) Senior engineer starts on AWS
2) Senior engineer leaves because our industry does not value longevity or loyalty at all whatsoever (not saying it should, just observing that it doesn't)
3) New engineer comes in and panics
4) Ends up using a "managed service" to relieve the panic
5) New engineer leaves
6) Second new engineer comes in and not only panics but outright needs help
7) Paired with some "certified AWS partner" who claims to help "reduce cost" but who actually gets a kickback from the extra spend they induce (usually 10% if I'm not mistaken)
Calling it it ransomware is obviously hyperbolic but there are definitely some parallels one could draw
On top of it all, AWS pricing is about to massively go up due to the RAM price increase. There's no way it can't since AWS is over half of Amazon's profit while only around 15% of its revenue.
One of the biggest problems with the self-hosted situations I’ve seen is when the senior engineers who set it up leave and the next generation has to figure out how to run it all.
In theory with perfect documentation they’d have a good head start to learn it, but there is always a lot of unwritten knowledge involved in managing an inherited setup.
With AWS the knowledge is at least transferable and you can find people who have worked with that exact thing before.
Engineers also leave for a lot of reasons. Even highly paid engineers go off and retire, change to a job for more novelty, or decide to try starting their own business.
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The end result of all this is that the percentage of people who know how to implement systems without AWS/Azure will be a single digit. From that point on, this will be the only "economic" way, it doesn't matter what the prices are.
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It’s all anecdotal but in my experiences it’s usually opposite. Bored senior engineer wants to use something new and picks a AWS bespoke service for a new project.
I am sure it happens a multitude of ways but I have never seen the case you are describing.
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> 7) Paired with some "certified AWS partner"
What do you think RedHat support contracts are? This situation exists in every technology stack in existence.
> 3) New engineer comes in and panics
> 4) Ends up using a "managed service" to relieve the panic
It's not as though this is unique to cloud.
I've seen multiple managers come in and introduce some SaaS because it fills a gap in their own understanding and abilities. Then when they leave, everyone stops using it and the account is cancelled.
The difference with cloud is that it tends to be more central to the operation, so can't just be canceled when an advocate leaves.
> One of AWS's favorite situations
I'll give you an alternative scenario, which IME is more realistic.
I'm a software developer, and I've worked at several companies, big and small and in-between, with poor to abysmal IT/operations. I've introduced and/or advocated cloud at all of them.
The idea that it's "more expensive" is nonsense in these situations. Calculate the cost of the IT/operations incompetence, and the cost of the slowness of getting anything done, and cloud is cheap.
Extremely cheap.
Not only that, it can increase shipping velocity, and enable all kinds of important capabilities that the business otherwise just wouldn't have, or would struggle to implement.
Much of the "cloud so expensive" crowd are just engineers too narrowly focused on a small part of the picture, or in denial about their ability to compete with the competence of cloud providers.
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Just this week a friend of mine was spinning up some AWS managed service, complaining about the complexity, and how any reconfiguration took 45 minutes to reload. It's a service you can just install with apt, the default configuration is fine. Not only is many service no longer cheaper in the cloud, the management overhead also exceed that of on-prem.
I'd gladly use (and maybe even pay for!) an open-source reimplementation of AWS RDS Aurora. All the bells and whistles with failover, clustering, volume-based snaps, cross-region replication, metrics etc.
As far as I know, nothing comes close to Aurora functionality. Even in vibecoding world. No, 'apt-get install postgres' is not enough.
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What managed service? Curious, I don’t use the full suite of aws services but wondering what would take 45mins, maybe it was a large cluster of some sort that needed rolling changes?
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Cloud was never cheaper. It was as convenient.
> If you're using something like ECS or serverless, AWS gains nothing by optimizing the servers to make your code run faster - their hard work results in less billed infrastructure hours.
If ECS is faster, then you're more satisfied with AWS and less likely to migrate. You're also open to additional services that might bring up the spend (e.g. ECS Container Insights or X-Ray)
Source: Former Amazon employee
We did some benchmarks and ECS was definitely quite a bit more expensive for a given capacity than just running docker on our own EC2 instances. It also bears pointing out that a lot of applications (either in-house or off-the-shelf) expect a persistent mutable config directory or sqlite database.
We used EFS to solve that issue, but it was very awkward, expensive and slow, its certainly not meant for that.
I don’t understand why most cloud backend designs seem to strive for maximizing the number of services used.
My biggest gripe with this is async tasks where the app does numerous hijinks to avoid a 10 minute lambda processing timeout. Rather than structure the process to process many independent and small batches, or simply using a modest container to do the job in a single shot - a myriad of intermediate steps are introduced to write data to dynamo/s3/kinesis + sqs/and coordination.
A dynamically provisioned, serverless container with 24 cores and 64 GB of memory can happily process GBs of data transformations.
Fully agree to this. I find the cost of cloud providers is mostly driven by architecture. If you're cost conscious, cloud architectures need to be up-front designed with this in mind.
Microservices is a killer with cost. For each microservices pod - you're often running a bunch of side cars - datadog, auth, ingress - you pay massive workload separation overhead with orchestration, management, monitoring and ofc complexity
I am just flabbergasted that this is how we operate as a norm in our industry.
It's about fitting your utilization to the model that best serves you.
If you can keep 4 "Java boxes" fed with work 80%+ of the time, then sure EC2 is a good fit.
We do a lot of batch processing and save money over having EC2 boxes always on. Sure we could probably pinch some more pennies if we managed the EC2 box uptime and figured out mechanisms for load balancing the batches... But that's engineering time we just don't really care to spend when ECS nets us most of the savings advantage and is simple to reason about and use.
Agreed. There is a wide price difference between running a managed AWS or Azure MySQL service and running MySQL on a VM that you spin up in AWS or Azure.
> your infra is so efficient and cheap that even paying 4x for it rather than going for colocation is well worth it because of the QoL and QoS.
You don’t need colocation to save 4x though. Bandwidth pricing is 10x. EC2 is 2-4x especially outside US. EBS for its iops is just bad.
Great comment. I agree it's a spectrum and those of us who are comfortable on (4) like yourself and probably us at Carolina Cloud [0] as well, (4) seems like a no brainer. But there's a long tail of semi-technical users who are more comfortable in 2-3 or even 1, which is what ultimately traps them into the ransomware-adjacent situation that is a lot of the modern public cloud. I would push back on "usage-based". Yes it is technically usage-based but the base fee also goes way up and there are also sometimes retainers on these services (ie minimum spend). So of course "usage-based" is not wrong but what it usually means is "more expensive and potentially far more expensive".
[0] https://carolinacloud.io, derek@
The problem is that clouds have easily become 3 or 5 times the price of managed services, 10x the price of option 3, and 20x the price of option 4. To say nothing of the fact that almost all businesses can run fine on "pc under desk" type situations.
So in practice cloud has become the more expensive option the second your spend goes over the price of 1 engineer.
Hetzner is definitely an interesting option. I’m a bit scared of managing the services on my own (like Postgres, Site2Site VPN, …) but the price difference makes it so appealing. From our financial models, Hetzner can win over AWS when you spend over 10~15K per month on infrastructure and you’re hiring really well. It’s still a risk, but a risk that definitely can be worthy.
> I’m a bit scared of managing the services on my own
I see it from the other direction, when if something fails, I have complete access to everything, meaning that I have a chance of fixing it. That's down to hardware even. Things get abstracted away, hidden behind APIs and data lives beyond my reach, when I run stuff in the cloud.
Security and regular mistakes are much the same in the cloud, but I then have to layer whatever complications the cloud provide comes with on top. If cost has to be much much lower if I'm going to trust a cloud provider over running something in my own data center.
Do you want the power to fix or do you want the paper to wave so you aren't held accountable.
The main benefit of outsourcing to aws etc is that the CEO isn't yelling at you when it breaks, because their golf buddies are in the same situation.
You sum it up very neatly. We've heard this from quite a few companies, and that's kind of why we started our ours.
We figured, "Okay, if we can do this well, reliably, and de-risk it; then we can offer that as a service and just split the difference on the cost savings"
(plus we include engineering time proportional to cluster size, and also do the migration on our own dime as part of the de-risking)
I've just shifted my SWE infrastructure from AWS to Hetzner (literally in the last month). My current analysis looks like it will be about 15-20% of the cost - £240 vs 40-50 euros.
Expect a significant exit expense, though, especially if you are shifting large volumes of S3 data. That's been our biggest expense. I've moved this to Wasabi at about 8 euros a month (vs about $70-80 a month on S3), but I've paid transit fees of about $180 - and it was more expensive because I used DataSync.
Retrospectively, I should have just DIYed the transfer, but maybe others can benefit from my error...
FYI, AWS offers free Egress when leaving them (because they were forced to be EU regulation, but they chose to offer it globally):
https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-i...
But. Don't leave it until the last minute to talk to them about this. They don't make it easy, and require some warning (think months, IIRC)
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> I’m a bit scared of managing the services on my own (like Postgres, Site2Site VPN, …)
Out of interest, how old are you? This was quite normal expectation of a technical department even 15 years ago.
I’m curious to know the answer, too. I used to deploy my software on-prem back in the day, and that always included an installation of Microsoft SQL Server. So, all of my clients had at least one database server they had to keep operational. Most of those clients didn’t have an IT staff at all, so if something went wrong (which was exceedingly rare), they’d call me and I’d walk them through diagnosing and fixing things, or I’d Remote Desktop into the server if their firewalls permitted and fix it myself. Backups were automated and would produce an alert if they failed to verify.
It’s not rocket science, especially when you’re talking about small amounts of data (small credit union systems in my example).
No it was not. 15 years ago Heroku was the rage. Even the places that had bare metal usually had someone running something similar to devops and at least core infrar was not being touched. I am sure places existed but 15 years while far away was already pretty far along from what you describe. At least in SV.
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Ahah I'm 31, but deciding if it makes sense to manage your own db doesn't depend on the age of the CTO.
See, turning up a VM, installing and running Postgres is easy.
The hard part is keeping it updated, keeping the OS updated, automate backups, deploying replicas, encrypting the volumes and the backups, demonstrating to a third party auditor all of the above... and mind that there might be many other things I honestly ignore!
I'm not saying I won't go that path, it might be a good idea after a certain scale, but in the first and second year of a startup your mind should 100% be on "How can I make my customer happy" rather than "We failed again the audit, we won't have the SOC 2 Type I certification in time to sign that new customer".
If deciding between Hetzner and AWS was so easy, one of them might not be pricing its services correctly.
I’m wondering if it makes sense to distribute your architecture so that workers who do most of the heavy lifting are in hetzner, while the other stuff is in costly AWS. On the other hand this means you don’t have easy access to S3, etc.
networking costs are so high in AWS I doubt this makes sense
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No amount of money will make me maintain my own dbs. We tried it at first and it was a nightmare.
Or CDN, queues, log service, observability, distributed storage. I am not even sure what the people in the on-prem vs cloud argument think. If you need a highly specialised infra with one or two core services and a lower tier network is ok then on-prem is ok. Otherwise if is a never ending quest to re-discover the millions of engineering hours went into building something like AWS.
It's worth becoming good at.
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I don't know. I rent a bare metal server for $500 a month, which is way overkill. It takes almost no time to manage -- maybe a few hours a year -- and can handle almost anything I throw at it. Maybe my needs are too simple though?
Just curious, what is the spec you pay $6000/year for? Where/what is the line between rent vs buy?
It's a server with:
- 2x Intel Xeon 5218
- 128gb Ram
- 2x960GB SSD
- 30TB monthly bandwidth
I pay around an extra $200/month for "premium" support and Acronis backups, both of which have come in handy, but are probably not necessary. (Automated backups to AWS are actually pretty cheap.) It definitely helps with peace of mind, though.
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Dead on. Recently, 3 and 4 have been compelling. Cloud costs have rocketed up. I started my casual transition to co-lo 2 years ago and just in december finished everything. I have more capacity at about 30% of the cost. If you go option 3, you even get the benefit of 6+ month retro pricing for RAM/storage. I'm running all DDR4, but I have so much of it I don't know what to do with it.
The flip side is that compliance is a little more involved. Rather than, say, carve out a whole swathe of SOC-2 ops, I have to coordinate some controls. It's not a lot, and it's still a lot lighter than I used to do 10+ years ago. Just something to consider.
you're missing 5, what they are doing.
There is a world of difference between renting some cabinets in an Equinix datacenter and operating your own.
Fair point!
5 - Datacenter (DC) - Like 4, except also take control of the space/power/HVAC/transit/security side of the equation. Makes sense either at scale, or if you have specific needs. Specific needs could be: specific location, reliability (higher or lower than a DC), resilience (conflict planning).
There are actually some really interesting use cases here. For example, reliability: If your company is in a physical office, how strong is the need to run your internal systems in a data centre? If you run your servers in your office, then there's no connectivity reliability concerns. If the power goes out, then the power is out to your staff's computers anyway (still get a UPS though).
Or perhaps you don't need as high reliability if you're doing only batch workloads? Do you need to pay the premium for redundant network connections and power supplies?
If you want your company to still function in the event of some kind of military conflict, do you really want to rely on fibre optic lines between your office and the data center? Do you want to keep all your infrastructure in such a high-value target?
I think this is one of the more interesting areas to think about, at least for me!
When I worked IT for a school district at the beginning of my career (2006-2007), I was blown away that every school had a MASSIVE server room (my office at each school - the MDF). 3-5 racks filled (depending on school size and connection speed to the central DC - data closet) 50-75% was networking equipment (5 PCs per class hardwired), 10% was the Novell Netware server(s) and storage, the other 15% was application storage for app distributions on login.
Personally I haven't seen a scenario where it makes sense beyond a small experimental lab where you value the ability to tinker physically with the hardware regularly.
Offices are usually very expensive real estate in city centers and with very limited cooling capabilities.
Then again the US is a different place, they don't have cities like in Europe (bar NYC).
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If you have less than a rack of hardware, if you have physical security requirements, and/or your hardware is used in the office more than from the internet, it can make sense.
5 was a great option for ml work last year since colo rented didn't come with a 10kW cable. With ram, sd and GPU prices the way they are now I have no idea what you'd need to do.
Thank goodness we did all the capex before the OpenAI ram deal and expensive nvidia gpus were the worst we had to deal with.
What is the upper limit of Hertzner? Say you have an AWS bill in the $100s of millions, could Hertzner realistically take on that scale?
An interesting question, so time for some 100% speculation.
It sounds like they probably have revenue in the €500mm range today. And given that the bare metal cost of AWS-equivalent bills tends to be a 90% reduction, we'll say a €10mm+ bare metal cost.
So I would say a cautious and qualified "yes". But I know even for smaller deployments of tens or hundreds of servers, they'll ask you what the purpose is. If you say something like "blockchain," they're going to say, "Actually, we prefer not to have your business."
I get the strong impression that while they naturally do want business, they also aren't going to take a huge amount of risk on board themselves. Their specialism is optimising on cost, which naturally has to involve avoiding or mitigating risk. I'm sure there'd be business terms to discuss, put it that way.
Why would a client who wants to run a Blockchain be risky for Herzner? I'm not a fan, I just don't see the issue. If the client pays their monthly bill, who cares if they're using the machine to mine for Bitcoin?
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Who are you thinking of?
Netflix might be spending as much as $120m (but probably a little less), and I thought they were probably Amazon's biggest customer. Does someone (single-buyer) spend more than that with AWS?
Hertzner's revenue is somewhere around $400m, so probably a little scary taking on an additional 30% revenue from a single customer, and Netflix's shareholders would probably be worried about risk relying on a vendor that is much smaller than them.
Sometimes if the companies are friendly to the idea, they could form a joint venture or maybe Netflix could just acquire Hertzner (and compete with Amazon?), but I think it unlikely Hertzner could take on Netflix-sized for nontechnical reasons.
However increasing pop capacity by 30% within 6mo is pretty realistic, so I think they'd probably be able to physically service Netflix without changing too much if management could get comfortable with the idea
A $120M spend on AWS is equivalent to around a $12M spend on Hetzner Dedicated (likely even less, the factor is 10-20x in my experience), so that would be 3% of their revenue from a single customer.
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That $120m will become $12m when they're not using AWS.
> Hertzner's revenue is somewhere around $400m, so probably a little scary taking on an additional 30% revenue from a single customer
A little scare for both sides.
Unless we're misunderstanding something I think the $100Ms figure is hard to consider in a vacuum.
I'm largely just thinking $HUGE when throwing out that number, but there are plenty of companies that have cloud costs in that range. A quick search brings up Walmart, Meta, Netflix, Spotify, Snap, JP Morgan.
Figma apparently spends around 300-400k/day on AWS. I think this puts them up there.
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> 4 - Buy and colocate the hardware yourself – Certainly the cheapest option if you have the skills, scale, cap-ex, and if you plan to run the servers for at least 3-5 years.
Is it still the cheapest after you take into account that skills, scale, cap-ex and long term lock-in also have opportunity costs?
That is why the the second "if" is there.
You can get locked into cloud too.
The lock in is not really long term as it is an easy option to migrate off.
This space of #2 like Lithus is not something I'm very familiar with, so thank you for the comment that piqued my interest!
If you're willing to share, I'm curious who else you would describe as being in this space.
My last decade and a half or so of experience has all been in cloud services, and prior to that it was #3 or #4. What was striking to me when I went to the Lithus website was that I couldn't figure out any details without hitting a "Schedule a Call" button. This makes it difficult for me to map my experiences in using cloud services onto what Lithus offers. Can I use terraform? How does the kubernetes offering work? How does the ML/AI data pipelines work? To me, it would be nice if I could try it out in a very limited way as self-service, or at least read some technical documentation. Without that, I'm left wondering how it works. I'm sure this is a conscious decision to not do this, and for good reasons, but I thought I'd share my impressions!
Hello! I think this is a fair question, and improving the communication on the website is something that is steadily climbing up our priority list.
We're not really that kind of product company; we're more of a services company. What we do is deploy Kubernetes clusters onto bare metal servers. That's the core technical offering. However, everything beyond that is somewhat per-client. Some clients need a lot of compute. Some clients need a custom object storage cluster. Some clients need a lot of high-speed internal networking. Which is why we prefer to have a call to figure out specifically what your needs are. But I can also see how this isn't necessarily satisfying if you're used to just grabbing the API docs and having a look around.
What we will do is take your company's software stack and migrate it off AWS/Azure/Google and deploy it onto our new infrastructure. We will then become (or work with) your DevOps team to supporting you. This can be anything from containerising workloads to diagnosing performance issues to deploying a new multi-region Postgres cluster. Whatever you need done on your hardware that we feel we can reasonably support. We are the ones on-call should NATS fall over at 4am.
Your team also has full access to the Kubernetes cluster to deploy to as you wish.
I think the pricing page is the most concrete thing on our website, and it is entirely accurate. If you were to phone us and say, "I want that exact hardware," we would do it for you. But the real value we also offer is in the DevOps support we provide, actually doing the migration up-front (at our own cost), and being there working with your team every week.
This makes total sense to me. I'm thinking through the flow that would lead me to be a customer of yours.
In my current job, I think we're honestly a bit past the phase where I would want to take on a migration to a service like yours. We already have a good team of infrastructure folks running our cloud infrastructure, and we have accepted the lock-in of various AWS managed services. So the high-touch devops support doesn't sound that useful to me (we already have people who are good at this), and replacing all the locked-in components seems unlikely to have good ROI. I think we'd be more likely to go straight to #3 if we decided to take that on to save money.
But I'll probably be a founder or early employee at a new startup again someday, and I'm intrigued by your offering from that perspective. But it seems pretty clear to me that I shouldn't call you up on day 1, because I'm going to be nowhere near $5k a month, and I want to move faster than calling someone up to talk about my needs. I want to self-serve a small amount of usage, and cloud services seem really great for that. But this is how they get you! Once you've started with a particular cloud service, it's always easiest to take on more lock-in.
At some point between these two situations, though, I can see where your offering would be great. But the decision point isn't all that clear to me. In my experience, by the time you start looking at your AWS bill and thinking "crap, that seems pretty expensive", you have better things to do than an infrastructure migration, and you have taken on some lock-in.
I do like the idea of high-touch services to solve the breaking-the-lock-in challenge! I'll certainly keep this in mind next time I find myself in this middle ground where the cloud starts feeling more expensive than it's worth, but we don't want to go straight to #3.
> Option 1 is great for startups
Unfortunately, (successful) startups can quickly get trapped into this option. If they're growing fast, everyone on the board will ask why you'd move to another option at the first place. The cloud becomes a very deep local minimum that's hard to get out off.
Can someone explain 2 to me. How is a managed private cloud different from full cloud? Like you are still using AWS or Azure but you are keeping all your operation in a bundled, portable way, so you can leave that provider easily at any time, rather than becoming very dependent on them? Is it like staying provider-agnostic but still cloud based?
To put it plainly: We deploy a Kubernetes cluster on Hetzner dedicated servers and become your DevOps team (or a part thereof).
It works because bare metal is about 10% the cost of cloud, and our value-add is in 1) creating a resilient platform on top of that, 2) supporting it, 3) being on-call, and 4) being or supporting your DevOps team.
This starts with us providing a Kubernetes cluster which we manage, but we also take responsibility for the services run on it. If you want Postgres, Redis, Clickhouse, NATS, etc, we'll deploy it and be SLA-on-call for any issues.
If you don't want to deal with Kubernetes then you don't have to. Just have your software engineers hand us the software and we'll handle deployment.
Everything is deployed on open source tooling, you have access to all the configuration for the services we deploy. You have server root access. If you want to leave you can do.
Our customers have full root access, and our engineers (myself included) are in a Slack channel with you engineers.
And, FWIW, it doesn't have to be Hetzner. We can colocate or use other providers, but Hetzner offer excellent bang-per-buck.
Edit: And all this is included in the cluster price, which comes out cheaper than the same hardware on the major cloud providers
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You give customers root but you're on call when something goes tits up?
You're a brave DevOps team. That would cause a lot of friction in my experience, since people with root or other administrative privileges do naughty things, but others are getting called in on Saturday afternoon.
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Instead of using the Cloud's own Kubernetes service, for example, you just buy the compute and run your own Kubernetes cluster. At a certain scale that is going to be cheaper if you have to know how. And since you are no longer tied to which services are provided and you just need access to compute and storage. you can also shop around for better prices than Amazon or Azure since you can really go to any provider of a VPS.
#2.5ish
We rent hardware and also some VPS, as well as use AWS for cheap things such as S3 fronted with Cloudflare, and SES for priority emails.
We have other services we pay for, such as AI content detection, disposable email detection, a small postal email server, and more.
We're only a small business, so having predictable monthly costs is vital.
Our servers are far from maxed out, and we process ~4 million dynamic page and API requests per day.
I am using something inbetween 2 and 3, a hosted Web-site and database service with excellent customer support. On shared hardware it is 22 €/month. A managed server on dedicated hardware starts at about 50 €/month.
Getting rid of bureaucratic internal IT department is a game changer for productivity. That alone is worth 10x infra costs, especially for big companies where work can grind to a halt dealing with obstructionists through service now. Good leaders understand this.
Sadly true. Or, the so-called internal IT Dept. can be a shambolic mess of PHB's, Brunchlords, Catberts, metric maximizers, and micromanagers, presiding over the hollowed-out and burned out remains of the actual workforce that you'd need to reliably do the job.
5. On-premise and engineers touch the wires every few days.
> while largely maximising operational costs
The core services are cheap. S3 is cheap. Dynamo is cheap. Lambda is exceedingly cheap. Not understanding these services on their own terms and failing to read the documentation can lead one to use them in highly inefficient ways.
The "cloud" isn't just "another type of server." It's another type of /service/. Every costly stack I've seen fails to accept this truth.
Where do AWS reserved instances come into your hierarchy? What if there existed a “perpetual” reserved instance? Is cap-ex vs. op-ex really the key distinction?
Been using Hetzner Cloud for Kubernetes and generally like it, but it has its limitations. The network is highly unpredictable. You at best get 2Gbit/s, but at worst a few hundreds of Mbit/s.
https://docs.hetzner.com/cloud/technical-details/faq/#what-k...
Is that for the virtual private network? I heard some people say that you actually get higher bandwidth if you're using the public network instead of the private network within Hetzner, which is a little bit crazy.
Hetzner dedicated is pretty bad at private networks, so bad you should use a VPN instead. Don't know about the cloud side of things.
this is what we did in the 90ies into mid 2000:
> Buy and colocate the hardware yourself – Certainly the cheapest option if you have the skills
back then this type of "skill" was abundant. You could easily get sysadmin contractors who would take a drive down to the data-center (probably rented facilities in a real-estate that belonged to a bank or insurance) to exchange some disks that died for some reason. such a person was full stack in a sense that they covered backups, networking, firewalls, and knew how to source hardware.
the argument was that this was too expensive and the cloud was better. so hundreds of thousands of SME's embraced the cloud - most of them never needed Google-type of scale, but got sucked into the "recurring revenue" grift that is SaaS.
If you opposed this mentality you were basically saying "we as a company will never scale this much" which was at best "toxic" and at worst "career-ending".
The thing is these ancient skills still exist. And most orgs simply do not need AWS type of scale. European orgs would do well to revisit these basic ideas. And Hetzner or Lithus would be a much more natural (and honest) fit for these companies.
I wonder how much companies pay yearly in order to avoid having an employee pick up a drive from a local store, drive to the data center, pull the disk drive, screw out the failing hard drive and put in the new one, add it in the raid, verify the repair process has started, and then return to the office.
I don't think I've ever seen a non-hot-swap disk in a normal server. The oldest I dealt with had 16 HDDs per server, and only 12 were accessible from the outside, bu the 4 internal ones were still hot-swap after taking the cover off.
Even some really old (2000s-era) junk I found in a cupboard at work was all hot-swap drives.
But more realistically in this case, you tell the data centre "remote hands" person that a new HDD will arrive next-day from Dell, and it's to go in server XYZ in rack V-U at drive position T. This may well be a free service, assuming normal failure rates.
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In the Bay Area there are little datacenters that will happily colocate a rack for you and will even provide an engineer who can swap disks. The service is called “remote hands”. It may still be faster to drive over.
> ancient skills https://youtu.be/ZtYU87QNjPw?&t=10
It baffles me that my career trajectory somehow managed to insulate me from ever having to deal with the cloud, while such esoteric skills as swapping a hot swap disk or racking and cabling a new blade chassis are apparently on the order of finding a COBOL developer now. Really?
I can promise you that large financial institutions still have datacenters. Many, many, many datacenters!
we had two racks in our office of mostly developers. If you have an office you already have a rack for switches and patch panels. Adding a few servers is obvious.
Software development isn't a typical SME however. Mike's Fish and Chips will not buy a server and that's fine.
We looked at option 4. And colocation is not cheap. It was cheaper for us to lease VMs from Hetzner than to buy boxes and colocate at Equinix.
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if someone on the DevOps team knows Nix, option 3 becomes a lot cheaper time-wise! yeah, Nix flakes still need maintenance, especially on the `nixos-unstable` branch, but you get the quickest disaster recovery route possible!
plus, infra flexibility removes random constraints that e.g. Cloudflare Workers have
There are a bunch of ways to manage bare metal servers apart from Nix. People have been doing it for years. Kickstart, theforeman, maas, etc, [0]. Many to choose from according to your needs and layers you want them to manage.
Reality is these days you just boot a basic image that runs containers
[0] Longer list here: https://github.com/alexellis/awesome-baremetal
Indeed! We've yet to go down this route, but it's something we're thinking on. A friend and I have been talking about how to bring Nix-like constructs to Kubernetes as well, which has been interesting. (https://github.com/clotodex/kix, very much in the "this is fun to think about" phase)
This is what we do, I gave a talk about our setup earlier this week at CfgMgmtCamp: https://www.youtube.com/watch?v=DBxkVVrN0mA&t=8457s
Option 4 as well, that's how we do it at work and it's been great. However, it can't really be "someone on the team knows Nix", anyone working on Ops will need Nix skills in order to be effective.
Why this fixation on Nix? You don't need Nix to run bare metal.
I'm a NixOS fan, but been using Talos Linux on Hetzner nodes (using Cluster-API) to form a Kubernetes Cluster. Works great too!