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AWS tooling doesn't save developer time in my experience. In fact, I'd argue that optimizing for it more often than not wastes it.

I've watched someone spend days learning to configure a performant DB server on AWS due to their poor disk IO performance and spend an enormous amount to get a high ram instance when a simple SSD based server where more IOPS were trivially available would have had it working out of the box.

Everything has a learning cost though, so perhaps that's a somewhat unfair example as having a deep knowledge of data centers and backbone providers doesn't come free, but I can crank an ansible and docker script out and have pretty much all the advantages of AWS but deployed on my own hardware at a fraction of the cost. So I'm not sure it's fair to say that AWS tooling offers anything particularly unique to merits its market position.

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So I'm not trying to big-time you, but I have experience across a wide range of environments and shop sizes (both in clouds and, unfortunately, people who bought the "VPSes are fine too" idea in like 2015) and, after being in these trenches for a while, "it doesn't improve developer productivity" reads more to me as "we don't know how to leverage AWS for developer productivity." Elasticity is nice; pervasive automation and deep introspective monitoring (which you don't have to create and manage and scale) is not merely nice but required, especially for small teams, because your small team cannot afford to be disrupted by systems that can't take care of themselves without kneecapping your velocity. I believe you're arguing in good faith but you're telling me that's this pebbly wall when it's actually the whole elephant.

And AWS reduces business risk, too, which needs to be understood and respected, too. Your VPS universe is not actually repeatable. It takes one line to roll out a full environment for more than one of my clients. Dev environment? Here ya go, self-serve bootstrapping and management. Prod environment? Infra-as-code guaranteed to be what you pushed to test at the infrastructural level as well as at the deployable level.

This is why we are replacing system administrators with developers and why we are replacing hands-on system creation with cloud stacks: because it's a difference of kind and the fears of higher operational expenses are trivialized by being able to use that endless inventory to replace the expensive part of your operation--the people.

I think you're either focusing on a very small part of the market - very large websites - or you're overestimating the requirements most websites have. Either way, it seems like you're taking about a very different scenario than I am.

Endless inventory and minimized administration but higher upfront and ongoing server investment is not a benefit when you need to write a website used by under 10k people a day. Nor is it a benefit for internal services moved to the cloud for nonsense reasons. Both of which I've seen done far too frequently. Simple tooling and small virtual machines or singular dedicated servers like are easily enough for these applications.

I can definitely understand the need for a small team working on a very large, high hit count application though. I'm not saying there are no uses for it, there totally are and you make valid points, just that the uses more limited than one might expect by the hype.

So...I run one service (gratis, as it's a friend) that gets about 8K uniques a day. It costs $26 a month in AWS (it was $35 but that's apparently gone down, cool!) and makes about $400/month. That price tag is despite me not being particularly cost-conscious when rolling it out. It does use free tier AWS resources, but EC2 is not in free tier right now; we're talking about keeping DynamoDB at free tier read levels and stuff like that.

And, unlike the still-really-weird-and-ad-hoc VPS world, stuff like DR is a solved problem when-not-if you need it. The vig for AWS is consistently between 20% and 25% and you are able to leverage implicitly all the incredibly useful tooling and systems around you. If 20% to 25% of $26 is going to materially damage your business, you do not have a business.

That reads more like AWS marketing copy :) At scale you have to architect around AWS crapy network.

0 network transparency

abismal IOPS performance

very limited config. options

Horrible uptime (US East has worth uptime as a region than wast majority of quality DCs)

0 Access to people who can really help you (unless you are at several mil. per month spend)

You forgot to mention the choice between bad peering vs a high jitter direct connect. Two vlans on the same cable doesn't equal redundancy, two cables along the same geographical site neither.

What's wrong with VPSes? Care to elaborate?

- Automation/APIs are generally lousy. Some try (Digital Ocean is trying to shed its past and become a real boy--err, cloud), but stuff like Linode is infuriating to work with when you expect to be able to just do something like "declaratively describe your infrastructure and go". Or when you expect to have monitoring and alerting on hand without having to reinvent every wheel yourself.

- Networking is usually real bad. SDNs are your friend. Yeah, learn you an iptables and all, but this is the future, we can do better. (DigitalOcean is almost to the point AWS was at, like, eight years ago with EC2 Classic? Something like that.)

- Geographically-centralized but independent systems are hard to come by and so fault tolerance is a Big Problem. AWS loses an availability zone, my stuff keeps rolling. Can't say the same elsewhere.

- Value-add services. The sibling comment's complaining about RDS, but RDS configuration hits probably the 98% case and You Don't Have To Learn It. I'm a little more hesitant about lock-in services like SQS, SNS, etc., but moral equivalents exist elsewhere for the most part, you can use them pretty effectively.

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