Price is supposed to cut in half every 3-4 years, if it isn't it is largely because cloud vendors can't bear to take less and hope there really is that much more volume of half as valuable computing to do.
The things they sell as an average CPU performance, etc are basically the average when their cloud began.
You've mistaken my point about "total cost of customer" for "raw cost of materials."
The "top brands" probably do marketing. That costs. They probably have better supply chain availability. That costs. They probably have on site engineering support they can offer you. That all costs.
What you're highlighting is the cost of CPUs has little to do with raw materials and with all this other attendant process. That has been true since a few short years after the product started existing.
No, Moore's law is fine. If the CPU takes half the real estate and uses half the power but costs the same it is the same perversion of the market expectations of Moore's law as if you don't deliver twice as much in the same price.
From Wikipedia:
Some forecasters, including Gordon Moore,[122] predict that Moore's law will end by around 2025.[123][120][124] Although Moore's Law will reach a physical limit, some forecasters are optimistic about the continuation of technological progress in a variety of other areas, including new chip architectures, quantum computing, and AI and machine learning.[125][126] Nvidia CEO Jensen Huang declared Moore's law dead in 2022;[2] several days later, Intel CEO Pat Gelsinger countered with the opposite claim.[3]
I think it's just because if you believe in economics it would suggest AWS must've lowered the price per vCPU since CPUs have become significantly more efficient in the last decade. Obviously that didn't happen...
The single most important factor in pricing is accurately predicting the future, as we haven't invented time travel yet we're gonna call that a wash. Here's a tool that measures everything else.
Yep! You are agreeing with me. The tool measures a bunch of noise, essentially, since it cannot predict Amazon’s pricing roadmap. Whereas the Kubernetes ecosystem has plenty of valid forecasting tools, such as one which forecasts compute usage, that are valuable.
To that point, I believe it's possible to buy spend futures now in cloud costs and if you're doing that then technically it is possible to predict Amazon's pricing roadmap. I know for sure if Amazon themselves didn't (they do) third parties would (they do, DoIT is an example of one I know that does this but there are quite a few of these compute resellers out there).
But sometimes people are not near enough the spend or product support level where it makes sense to do that. I would gander, though, if you're running cloud cost tooling you probably are one of those people.
You moved the goalpost from "cloud is definitely more expensive" to "well it isn't but maybe it will be for you someday" and alluding to vendor lock-in.
Vendor lock-in is a concern with cloud platforms but doesn't relate to the app in the submission.
I challenge you : give me a single product that cannot be moved away, given some (cost or time).
At the same time, I again challenge you : give me a single product that you can move between providers with no cost nor time.
To that last one, you can actually find stuff. For instance, you could setup your nginx in instances, without any kind of interactions with the hosting provider. In which case, you limit yourself with what everybody can do, leaving all opportunities to only use the base minimal.
But wait .. are you not locked-in with nginx (or to use a better example: with redis) ?
Vendor lock-in is a scam to increase your bills. Because, in itself, everything is vendor locking. And it does not matter. Think your architecture, design your code, and act when necessary.
I don't think you've ever been through the pain of moving a big, fully integrated, multiple ETL pipeline data warehouse built on something like Redshift. Vendor lock in is more about inertia and less about there not being an alternative. Some things are just really, really difficult to move and ridiculously impactful to change.
You seem to be trying to reduce the vendor-lockin issue to a binary "locked" or "not locked," but Idon't think that's a productive or realistic way to think about it. It's really more of a spectrum, and I prefer to think about it as "options" rather than "are we locked." You definitely have a lot more options if you go with Nginx and the project turns evil than you would if you went with some proprietary offering.
Yes, one can migrate their entire CI/CD ecosystem, countless IAM policies across multiple AWS accounts in an organization, their lambdas, databases and S3 buckets over to Azure given enough time and money.
The thing is that most everything in the cloud is billed on subscription, and many core components of networked services need not be (except support). Open file server, self-hosted IAM and standards-based execution stacks. Don't like hosting your nginx on Vendor-A? Move it to Vendor-B.
Yes, the tradeoffs are costs. No, vendor "lock-in" is not the only component one should measure when deciding an architecture. Yes, "lock-in" can occur with on-prem software, and hardware, as well.
Yes, it's real and worthy of concern when a vendor knows they can squeeze you because you have no other choice and the level of effort to migrate is too high.
It is always more expensive. I haven’t moved any goalposts. What I am trying to show is that you don’t need a tool - indeed you don’t need to look at a single price of anything - to know why. It can be both more expensive and a better value though! If you can’t recruit people or what you do is boring or if you want to operate a business that loses money in the long run: those are some common reasons it can look cheaper when it’s not.
RDS is an example of something that is more expensive but can be better value - because a lot of the managed service stuff saves the time of those looking after it.
15 years ago I worked an infrastructure department with 50+ employees - these days a lot of that work that we used to do back then is taken care of by AWS.
Scaling the infra to meet peak capacity (which might be two days in a year) because you can only run on hardware you have, having data centres and data centre engineers, are all costs that go away with cloud, even though you are paying more for the compute you do use.
The last big one: replacing a backbone country-wide network in France with AWS
It is far less expensive due to the low bandwidth requirements (and also the ability to go full managed services)