First is the simple test case using something random like Lambda and S3 after dragging through the Whizlabs course. This costs you $5 a month.
Second is the migration of something not particularly complicated but a bit meatier which works out cheaper than your capital expenditure coming up so you can write it off without having to fill in a purchase order and argue with accounts again.
Third is the overconfident architectural approach of multi-account, multi-AZ with peering all over the shop as recommended in the best practices, certification and architecture documentation. Approving nods all around on delivering this, despite the operational expenditure being slightly higher than predicted on your hacked up and not totally complete Excel spreadsheet for cost management.
Fourth is the first bill. This immediately points out your inter-VPC, inter-AZ transit and shitty shared tenancy CPU provision you had to crank up quickly at the last minute, costs more a month than your entire infrastructure capex for 3 years did before you got AWS resulting in sad kitty faces all around and a scramble for a cheaper option while trying not to get fired. This is all while Bezos dances on the flames coming from the dollar bills he's burning in a giant bonfire cackling loudly.
Fifth is several months later after being on the job market, eating ramen and searching for a company which "doesn't do any of that cloud stuff". You eventually find a position herding a couple of 1U supermicro boxes with CentOS on them which require the odd disk replacing here and there and some PHP updating without going near Terraform, Jenkins or any of that shit. Your entire infrastructure upgrade is automating your entire job into a few ansible playbooks and spending 6 hours a day inspecting the insides of your eyelids.
Most real world uses that I’m aware of follow the 80/20 rule, meaning you’ll store much more than you serve. And your hot paths are quickly cached by a CDN.
https://wasabi.com/paygo-pricing-faq/#minimum-storage-durati...
That detail isn't mentioned anywhere on their pricing page or cost comparison calculator: https://wasabi.com/cloud-storage-pricing/
I don't find that pricing objectionable on its own, but I'm wary of shopping with a vendor that advertises price as their main selling point, but buries such a potentially costly pricing detail.
Last place also did datadog for log aggregation. So Bezos' hands in their pockets, datadog's paws on their money.
(DD is super expensive, as you've said)
At a high level from observations of trying to handle 100Gb a day.
Cloudwatch is inflexible and expensive.
ELK is expensive to run and administer. The commercial variants are even worse.
Splunk is expensive and slow.
Datadog is expensive.
Loki is expensive to run and administer.
ryslogd and grep starts to feel like a viable solution eventually. Then you realise that you need about 50MB of that 100G a day of logs and enlightenment comes.
I've found that my current team really relies on those and an event store for observability, and it's just clunky and awful. Logging for, well, logging purposes instead would be a dramatic improvement.
https://wasabi.com, https://backblaze.com, https://min.io some of the ones I've seen frequently mentioned on news.yc
Yet another classic SV-style rugpull.
But you are right, running on AWS isn’t cheaper. It can be, but you have to design your software to take advantage of the platform.