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- FD: I work at Amazon, I also started my career in a time where I had to submit paper requests for servers that had turn around times measured in months.
I just don't see it. Given the nature of the services they offer it's just too risky not to use as much managed stuff with SLAs as possible. k8s alone is a very complicated control plane + a freaking database that is hard to keep happy if it's not completely static. In a prior life I went very deep on k8s, including self managing clusters and it's just too fragile, I literally had to contribute patches to etcd and I'm not a db engineer. I kept reading the post and seeing future failure point after future failure point.
The other aspect is there doesn't seem to be an honest assessment of the tradeoffs. It's all peaches and cream, no downsides, no tradeoffs, no risk assessment etc.
by yanslookup - Many startups and companies couldn't exist if there was only AWS (or GCP / Azure) due to how much they overcharge.
For example, we couldn't offer free GeoIP downloads[0] if we were charged the outrageous $0.09 / GB, and the same is true for companies serving AI models or game assets.
But what makes me almost sick is how slow is the cloud. From network-attached disks to overcrowded CPUs, everything is so slooooow.
My experience is that the cloud is a good thing between 0-10,000 $ / month. But you should seriously consider renting bare-metal servers or owning your own after that. You can "over-provision" as much as you want when you get 10-20x (real numbers) the performance for 25% of the price.
by pingoo101010 - Many other points. When the Cloud Started, they offered great value in adjacent product and services. Scaling was painful, getting bare metal hardware have long lead time, provisioning takes time. DC was not of as high quality, Network wasn't as redundant. A lot of these today are much less of an issue.
In 2010 you could only get 64 Core Xeon CPU coming in 8 Sockets, or maximum or 8 Core per socket. And that is ignoring NUMA issues. Today you could get 256 Core per socket that is at least twice as fast per core. What used to be 64 Server could now be fitted into 1. And by 2030, it would be closer to 100 to 1 ratio. Not to mention Software on Server has gotten a lot faster compared to 2010. PHP, Python, Ruby, Java, ASP or even Perl. If we added up everything I wouldn't be surprised we are 200 or 300 to 1 ratio compared to 2010.
I am pretty sure there is some version of Oxide in the pipeline that will catch up to latest Zen CPU Core. If a server isn't enough, a few Oxide Rack should fit 99% of Internet companies usage.
by ksec - > Cloud makes sense when elasticity matters; bare metal wins when baseload dominates.
This really is the crux of the matter in my opinion, at least for applications (databases and so on is in my opinion more nuanced). I've only worked at one place where using cloud functions made sense (keeping it somewhat vague here): data ingestion from stations that could be EXTREMELY bursty. Usually we got data from the stations at roughly midnight every day, nothing a regular server couldn't handle, but occasionally a station would come back online after weeks or new stations got connected etc which produced incredible load for a very short amount of time when we fetched, parsed and handled each packet. Instead of queuing things for ages we could instead just horizontally scale it out to handle the pressure.
by sondr3 - The core of this success is this, IMO:
Which TBH applies to many, many places, even if they are not aware of it.> Our workload is 24/7 steady. We were already at >90% reservation coverage; there was no idle burst capacity to “right size” away. If we had the kind of bursty compute profile many commenters referenced, the choice would be different.by darkwater - These are the features that AWS provides
(1) Massive expansion of budget (100 - 1000x) to support empire building. Instead of one minimum-wage sysadmin with 2 high-availability, maxed-out servers for 20K - 40K (and 4-hour response time from Dell/HPE), you can have 100M multi-cloud Kubernetes + Lambda + a mix-and-match of various locked-in cloud services (DB, etc.). And you can have a large army of SRE/DevOps. You get power and influence as a VP of Cloud this and that and 300 - 1000 people reporting to you.
(2) OpEx instead of CapEx
(3) All leaders are completely clueless about hiring the right people in tech. They hire their incompetent buddies who hire their cronies. Data centers can run at scale with 5-10 good people. However, they hire 3000 horrible, incompetent, and toxic people, and they build lots of paperwork, bureaucracy, and approvals around it. Before AWS, it was VMware's internal cloud that ran most companies. Getting bare metal or a VM will take months to years, and many, many meetings and escalations. With AWS, here is my credit card, pls gimme 2 Vms is the biggest feature.
- In the early days of cloud service providers, they offered a handful of high-value services, all at great prices, making them cost-competitive with bare metal but much easier. That was then.
Things today are different. As cloud service providers have grown to become dominant, they now offer a vast, complicated tangle of services, microservices, control panels, etc., at prices that can spiral out of control if you are not constantly on top of them, making bare metal cheaper for many use cases.
by cs702 - I'm so surprised there is so much pushback against this.. AWS is extremely expensive. The use cases for setting up your system or service entirely in AWS are more rare than people seem to realise. Maybe I'm just the old man screaming at cloud (no pun intended) but when did people forget how to run a baremetal server ?
> We have 730+ days with 99.993% measured availability and we also escaped AWS region wide downtime that happened a week ago.
This is a very nice brag. Given they are using their ddos protection ingress via CloudFlare there is that dependancy, but in that case I can 100% agree than DNS and ingress can absolutely be a full time job. Running some microservices and a database absolutely is not. If your teams are constantly monitoring and adjusting them such as scaling, then the problem is the design. Not the hosting.
Unless you're a small company serving up billions of heavy requests an hour, I would put money on the bet AWS is overcharging you.
by bilekas