Comment on I hate Clouds - a personal perspective on why I think Clouds suck
Tja@programming.dev 2 months agoAgree to disagree. Banking, telecommunications, insurance, automotive, retail are all industries where I have seen wild load fluctuations. The only applications where I have seen constant load are simulations: weather, oil&gas, scientific. That’s where it makes sense to deploy your own hardware. For all else, server less or elastic provisioning makes economic sense.
loudwhisper@infosec.pub 2 months ago
Systems are always overspecced, obviously. Many companies in those industries are dynosaurs which run on very outdated systems (like banks) after all, and they all existed before Cloud was a thing.
I also can’t talk for other industries, but I work in fintech and banks have a very predictable load, to the point that their numbers are almost fixed (and I am talking about UK big banks, not small ones).
I imagine retail and automotive are similar, they have so much data that their average load is almost 100% precise, which allows for good capacity planning, and their audience is so wide that it’s very unlikely to have global spikes.
Industries that have variable load are those who do CPU intensive (or memory) tasks and have very variable customers: media (streaming), AI (training), etc.
I also worked in the gaming industry, and while there are huge peaks, the jobs are not so resource intensive to need anything else than a good capacity planning.
I assume however everybody has their own experiences, so I am not aiming to convince you or anything.
Tja@programming.dev 2 months ago
Banking is extremely variable. Instant transactions are periodic, I don’t know any bank that runs them globally on one machine to compensate for time zones. Batches happen at a fixed time, are idle most of the day. Sure you can pay MIPS out of the ass, but you’re much more cost effective paying more for peak and idling the rets of the day.
My experience are banks (including UK) that are modernizing, and cloud for most apps brings brutal savings if done right, or moderate savings if getting better HA/RTO.
Of course if you migrate to the cloud because the cto said so, and you lift and shift your 64 core monstrosity that does 3M operations a day, you’re going to 3nd up more expensive. But that should have been a lambda function that would cost 5 bucks a day tops. That however requires effort, which most people avoid and complain later.
loudwhisper@infosec.pub 2 months ago
Ofc they don’t run them on one machine. I know that UK banks have only DCs in UK. Also, the daily pattern is almost identical everyday. You spec to handle the peaks, and you are good. Even if you systems are at 20% half the day everyday, you are still saving tons of money.
Between banks, from customer to bank they are not. Also now most circuits are going toward instant payments, so the payments are settled more frequently between banks.
I want to see this happening. I work for one and I see how our company is literally bleeding from cloud costs.
One of the most expensive product, for high loads at least. Plus you need to sign things with HSMs etc., and you want a secure environment, perhaps. So I would say…it depends.
Obviously I agree with you, you need to design rationally and not just make a dummy translation of the architecture, but you are paying for someone else to do the work + the service, cloud is going to help to delegate some responsibilities, but it can’t be cheaper, especially in the long run since you are not capitalizing anything.
Tja@programming.dev 2 months ago
Not only it can be cheaper, it is cheaper in most cases… when designed correctly. And if you compare TCO, not hardware vs IaaS.
It can also be much more expensive of course, but that’s almost always a skill issue.