They don't work. To elaborate, they fail to provide the user with information with enough clarity to allow him to form accurate mental models of what is being used,what it costs, and what is the implication in cost of applying some change.
Heck, at any given moment it's unexplainably hard to tell exactly which AWS services are you actually using, and being billed for.
The only reliable info on cost it the invoice you receive at the end of the month. Even then, the AWS guys felt the need to develop a full blown machine learning service to help customers predict what their next invoice will be.
Did you actually look at the billing page? Here's a screenshot of my billing page:
It meticulously breaks out per-service costs across whatever dimension you want. "EC2-Other" is rolled up in the chart, but it's broken out by each individual item further down in the list.
That doesn’t show what you are being charged for right now, nor does it help you predict what your total costs will be at the end of the month.
Since they don't, if you are literally so concerned with your current costs for this month, you can set a budget and alerts for whatever you want, so that you don't exceed some cost. Also, they show you your current cost for this month, up until the moment, as well as a daily breakdown of your costs.
Amazon, in my experience, has issued organizations a one-time credit in cases of surprise bills.
The bigger crux of the issue, is Amazon has democratized CapEx into OpEx, and it's too easy to be ignorant of the details of infrastructure planning, which is rolled into AWS pricing.
Before AWS, IT teams had to plan for and estimate costs prior to procuring hardware. This is no longer needed with ondemand, programmatic infrastructure.
Engineers, who (reductively) focus on solving business problems with code, aren't necessarily thinking about the costs of deploying their solutions, the way Ops and IT would be.
- There's almost no demand for it from the majority of their customers.
- Billing code is a big, scary, tangled mess and also happens to be the one area where you really can't afford to introduce bugs and make mistakes, so meaningful change is already exceptionally difficult.
I already got a surprise, because in one place it says t2.micro and t3.micro instances are free for twelve months.
But, if the instance runs Windows, or the zone is this or that, or something else I don't know, the only free tier instance is actually the t2.micro.
And then there's the Unlimited option, and CPU credits, where if your CPU use goes over 25% for some time, it will either: Be throttled so slow as to be useless, or, not being free and you still have to pay for each hour of use.
And that's just the beginning!
What I need is clear and upfront documentation about pricing, before the bill comes.
I didn’t say anything about this at all. It would certainly be a nice feature, and one people have asked for since the very beginning of AWS.
> Since they don't, if you are literally so concerned with your current costs for this month, you can set a budget and alerts for whatever you want, so that you don't exceed some cost.
Again, this is a strawman. This isn’t a response to anything I said.
If you’re trying to understand how much a new deployment on AWS is costing you, and find ways to optimize that, you don’t care about the total budget of the account, or having some auto shutoff. You need detailed, real-time information from Amazon, which I’ve never seen in the console.
It’s been several years since I’ve had to be digging around in the billing console, so I have no stake in this discussion and things might have changed. Based on other comments being made around here, I really doubt anything significant has changed.
I was just trying to clarify a comment you completely misunderstood.
No one who is working on this cares about real-time by the second data - the daily cost is enough.
> Again, this is a strawman. This isn’t a response to anything I said.
OK, what are you trying to say? If my response above did not answer the question, can you give me a one sentence summary of the point?
>> I was just trying to clarify a comment you completely misunderstood.
Alternatively,
“The billing UI and billing infrastructure is a major weakness of AWS when it comes to helping people understand what their usage will cost.” You can clearly see this is true by the large number of people who complain about it.
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGui...
Given that AWS supports terraform, it's really on them to provide a calculator for it as well. We're large enough that we just spent an obscene amount of money on employee time and effort to track our billing (lots of automated tagging), but until we did that it wasn't uncommon for a couple hundred thousand dollars of unnecessary charges to hit our bill every month.
A lot of people use Terraform (my shop does) and I've found a good terraform setup way better than CF templates. You can do tags in Terraform too. You should be forced to use their already bad tooling just to get correct cost estimates.
Blame Hashicorp if they don’t have a similar feature.
I get that there are times to dive all the way in, but there is still a part of me that says "Is this what the Internet is now?"
Terraform in no way provides you an abstraction layer over the different cloud providers.
A unified abstraction layer would certainly work for a subset of cloud offerings. Think the more basic stuff like EC2, VPCs, etc. Platform specific extensions could be handled as optional arguments to the unified objects.
That said, even though you need custom Terraform definitions for each cloud vendor, using one IaC tool still beats having to use a cloud-specific one for each of your deployments. The parent's point stands.
Learning the different IaC tools for each provider = Learning Python, Javascript, and PHP.
Also, Terraform does state management and can be used to package deployments of apps to different platforms. Our IaC pipeline uses Terraform to deploy resources to AWS and several other cloud toolsets, all in one language.
Using Terraform vs CF is easy compared to using AWS vs Azure.
Also if you are at any type of scale, your IAAC choice is the least of your problems.
Have you actually done a realistic project plan and estimated how much it would cost to migrate infrastructure from one provider to another once you reach any scale - including regression testing, auditing, training, etc? Do you really just use your cloud provider to host a bunch of VMs? Even then it’s not that easy at scale.
Yes I've dealt with this issue (to be more precise multi-cloud rather than migration, also used other TF providers in tandem like the Kubernetes one), and yes your TF resources are provider-specific, but being able to handle it all with the same tool instead of having to deal with an awful vendor-specific tool (to be charitable, because the reality is having to deal with mutiple ones and having them inter-operate through bash glue) vastly helps in reducing and controlling lock-in, and I would argue it's the baseline step you have to take if you don't want to risk your whole business on a single cloud provider not going to the gutter either because they've grown too big for their own good or because they're being squashed.
CloudFormation means jumping into the pit of lock-in and you can only climb back out by digging your fingers into the dirt wall, Terraform means you have climbing gear to rappel down and if you have to, get back up without as much hardship. Sure you have to put the gear on but your descent is controlled and then you can climb back up at your own leisure.
If I get to make the call and I care one bit about the business beyond next quarter, I would always have a clear way out to heavily reduce risks to a situation that we have seen play out many times before with the Oracles and IBMs of the world.
You can’t imagine the red tape moving from Workday and their homespun EMR (Healthcare) written 20 years ago using Powerbuilder.
Second, the "in-between" costslike bandwidth from service to service, iops on your disk, ... They mostly don't exist on prem, you either have enough of it and it works or you don't and it doesn't work and you need to go buy a bigger pipe. They're one of the biggest source of surprise cost on AWS.
Eg take a basic data storing application, the cpu and storage space are easy to estimate and are the same as on prem, but suddenly you also need to estimate your iops, and you realize you have no idea about it. Do you have an on-prem database running somewhere ? How many iops does it need ? Unless you've had to figure it out, you have no idea and will never know on prem.
I’m often fielding questions over on r/aws about how to do X on AWS where X is something simple. I then ask are they trying to solve problem X or are they trying to learn AWS. If it is the former, just use LightSail. Outside of serverless applications, I wouldn’t want the complications of full fledge AWS for a small project and I get paid to know the ins and outs of it.
For a small/startup, the ability to execute quickly without sinking capital into a product that will likely pivot anyway is a superpower.
When you get bigger, stuff gets dicey. Paying a premium for a "X as a Service" made sense when you had no people, but at some point the cost structure may not make sense or your needs are at odds with how the service delivery works.
When you work for a big company or government agency, things change again -- you don't hire a database guy for a project, you have a project team that builds stuff, and an ops team that exerts the minimum viable effort to keep your stuff running or an outsourced ops team that does the same, but worse. At that point, you start looking at how much it costs to pay AWS to provide and SLA vs hiring more competent (ie. more $$$) ops people to keep it running.
The long and short of it is that AWS is in a position to rake in cash up and down the spectrum -- all they need to do is be competent, which they are very good at.
It could be there are such tools. But they are impossible to find, setup or understand for someone who is not already an AWS expert. I recently got a $500 bill from AWS. It was impossible for me to find out which S3 buckets (or even specific files) caused these costs. I looked at this for half an hour and have used AWS before. They just don't tell you how to obtain this information. Or maybe they do, and it is so well hidden that it might as well not exist. This was a horrible user experience. As a customer, I want to know what I'm being charged for. The fact that AWS make it so difficult make me never want to use them again.
The biggest mistake I see is that people jump into AWS whole hog without doing the research or if they are large enough, hiring someone who knows what they are doing.
https://docs.aws.amazon.com/awsaccountbilling/latest/aboutv2...
Just like AWS is not understandable to someone new, I feel the modern front end ecosystem is royal cluster but yet and still thousands of people understand it after a 12 week boot camp.
It's not my intention to victim-blame here, yet do bear in mind that there are many, many ways to use the services and to expose resources to the bottomless appetite of the internet. Maybe Digital Ocean or Linode or the like would be a better option for starting out.
EDIT: sorry, I forgot to include the screenshot link - https://imgur.com/a/tVFoocr
https://aws.amazon.com/premiumsupport/knowledge-center/s3-fi...
Why do people think that they can give Amazon a credit card number and expect everything to be easy enough for them and suitable for a large enterprise? AWS offers something for beginners - Lightsail. When that outgrows their needs, they can peer their behind the scenes LightSail VPC to a full fledge VPC.
Yes, I use it extensively.
> Is applying separation of concerns to web services really that bad? Look, if you're a small company with a simple product, you can just put your stuff on a few EC2 boxes and pay the monthly bill for that. At that size, your infra costs are going to be dwarfed by your other costs of doing business anyway. If you're a big business, you can literally pay people to keep track of this stuff. You've got the extra money, because now you don't employ data center architects, server engineers, etc. AWS is able to "print money" because it brings a lot of value to many businesses.
It's not bad per se. The real problem I often see is that many people within the typical org aren't aware of how these costs can accumulate, especially when you have multiple DTAP environments, microservices, and so on.
Another problem is the days of "put your stuff on a few EC2 boxes" seem to have been overtaken by the cloud native, microservices, k8s trends of the last few years. Personally I 100% agree this is the way to go for many (if not most) people -- and for this purpose Digital Ocean is just as good -- but what I see more often is people diving straight into the deep end, because "Is applying separation of concerns to web services really that bad?"
I also think even big businesses underestimate the total costs of these all-in cloud infrastructures. You indeed need to pay people to keep track of this stuff -- multiple people. Your cloud costs + your devops/platform personnel costs can get to be a significant % of your total IT costs. Is it really necessary?
Just because your business has a big market cap or significant revenue from digital doesn't necessarily mean it needs any of that stuff. Chances are you can run it all on the same couple of EC2 boxes you ran it on when you were still a small company.
Maybe a good analogy is to think of AWS as C. It's flexible and powerful, but it's easy to shoot yourself in the foot. That would explain why a lot of these "> magical-tool deploy" services have emerged, promising to abstract away AWS.
I am not sure where you get the notion that any serious user goes with the "put your stuff on a few EC2 boxes" approach. Every single AWS project I worked on had a cost calculation phase when we investigated what combination of services could be the most cost-efficient for a certain problem.
>> cloud-native, microservices, k8s trends
It is kind of funny that you try to put on one end AWS the company that made cloud computing popular (and microservices with it) and the biggest player in the segment and "cloud-native, microservices, k8s" on the other. Trends come and go, AWS is here for the long run.
With something like digitalocean my costs are fixed. I might have misjudged how much I need but can scale up easily or down (with effort).
Will Amazon offer fixed pricing? Does Amazom offer fixed pricing?
> It's quite a tour de force how Amazon have taken "separation of concerns", applied it to web services and used it to create complex and difficult to understand or predict pricing to print money.
Is applying separation of concerns to web services really that bad? Look, if you're a small company with a simple product, you can just put your stuff on a few EC2 boxes and pay the monthly bill for that. At that size, your infra costs are going to be dwarfed by your other costs of doing business anyway. If you're a big business, you can literally pay people to keep track of this stuff. You've got the extra money, because now you don't employ data center architects, server engineers, etc. AWS is able to "print money" because it brings a lot of value to many businesses.