2 ms·

> Cloud is for big computational needs that can't be covered by Linde or DO. I don't think this is true at all. The cloud is just a fancy word for using someon

by rewmie 3y ago

> Cloud is for big computational needs that can't be covered by Linde or DO. I don't think this is true at all. The cloud is just a fancy word for using someone else's computational resources, and the cloud's main selling points is not having to host or manage your hardware, and be able to scale on demand. A third less mentioned topic is being able to have global deployments. None of these items imply a limit on how "big" are your computational needs. In fact, it's well established that once a company grows its cloud needs after a threshold, it becomes far more cost-effective and performance to just manage your own hardware and infrastructure. Lastly, even AWS frames itself as the go-to solution to grow from zero to launch.

ausudhz 3y ago
I don't think this is totally true. The selling point of the cloud it's not only what you mentioned, maybe yes at the beginning. Today, is more important the time to market. You can use existing services to build your application, there are customers that don't have access to a pool of data scientist to run their own ML training for example. These would rather benefit from high level services that help them to deliver functionalities just by using APIs. > it becomes far more cost-effective and performance to just manage your own hardware and infrastructure. This is very wrong too. First of all managing hardware is not just buying a server and placing it in your room. There are plenty of other business functions needed to run an effective datacenter. Procurement, hardware eng, sys admin, security (net, app, etc) and the list goes on. You can do that if you reach a critical mass or if you are able to attract the right talents for that. Big enterprise customers will settle for a suboptimal usage of their resources with limited capabilities to expand further or settle for one size fits all. You need a DB? We bought 15mil on Oracle licenses sorry about that, your no SQL needs or your vector search would be better make it work there. As I said earlier, eventually this affects the time to market. Which is a far more important measure than cost for business. Especially thanks to the agility. If it doesn't work they tear it down, you don't need to keep paying for it.

by rewmie 3y ago

ausudhz 3y ago

I don't think this is totally true. The selling point of the cloud it's not only what you mentioned, maybe yes at the beginning. Today, is more important the time to market. You can use existing services to build your application, there are customers that don't have access to a pool of data scientist to run their own ML training for example. These would rather benefit from high level services that help them to deliver functionalities just by using APIs. > it becomes far more cost-effective and performance to just manage your own hardware and infrastructure. This is very wrong too. First of all managing hardware is not just buying a server and placing it in your room. There are plenty of other business functions needed to run an effective datacenter. Procurement, hardware eng, sys admin, security (net, app, etc) and the list goes on. You can do that if you reach a critical mass or if you are able to attract the right talents for that. Big enterprise customers will settle for a suboptimal usage of their resources with limited capabilities to expand further or settle for one size fits all. You need a DB? We bought 15mil on Oracle licenses sorry about that, your no SQL needs or your vector search would be better make it work there. As I said earlier, eventually this affects the time to market. Which is a far more important measure than cost for business. Especially thanks to the agility. If it doesn't work they tear it down, you don't need to keep paying for it.