I use GCP for hobby projects because it’s simpler than AWS, has a better GUI and better documentation. For a commercial project I would probably go with AWS, since I’ve heard a lot of horror stories about GCP support. I’ve been scared away from Azure after using it for a couple of courses at university. It just seemed half-baked: lots of GUI glitches/bugs (e.g. reliably needing to press a button exactly twice). It ju…
Compare AWS and Azure Services to Google Cloud
81–90 of 104 posts
Re: Compare AWS and Azure Services to Google Cloud
#82I use GCP for hobby projects because it’s simpler than AWS, has a better GUI and better documentation. For a commercial project I would probably go with AWS, since I’ve heard a lot of horror stories about GCP support. I’ve been scared away from Azure after using it for a couple of courses at university. It just seemed half-baked: lots of GUI glitches/bugs (e.g. reliably needing to press a button exactly twice). It ju…
Re: Compare AWS and Azure Services to Google Cloud
#83Re: Compare AWS and Azure Services to Google Cloud
#84I use GCP for hobby projects because it’s simpler than AWS, has a better GUI and better documentation. For a commercial project I would probably go with AWS, since I’ve heard a lot of horror stories about GCP support. I’ve been scared away from Azure after using it for a couple of courses at university. It just seemed half-baked: lots of GUI glitches/bugs (e.g. reliably needing to press a button exactly twice). It ju…
Re: Compare AWS and Azure Services to Google Cloud
#85The resource limits are so severely restricted on Cloud Run that I don’t think it’s fair to compare it to Fargate. The space of use cases solved well with Fargate is far, far larger.
> The resource limits are so severely restricted on Cloud Run [...] Honest question: which of the limits in https://cloud.google.com/run/quotas#cloud_run_limits do you find “severely restricted”?
And, laughably, for any workload just a bit out of reach for Cloud Run, GCP docs immediately recommend switching to GKE (and even Anthos).
Imagine having a high RAM workload that is just a simple RPC service. Many (probably most) machine learning services fit this model. Many routine ML models require more than 8GB RAM just to load the model, bit it’s a good use case for serverless non-lambda infra because it runs out of a very unique Docker image and does nothing but serve stateless model predictions.
Needing to bring in all the machinery of GKE or pay out the nose for Anthos just because you need exactly the same operational model as Cloud Run just with high RAM or CPU is a really poor customer experience that feels deliberately set up to push you towards more expensive Kubernetes products.
Re: Compare AWS and Azure Services to Google Cloud
#86All 3 clouds have their warts and the grass will always seem greener once you pick one. Hard to go against AWS based on size and head start though...
Re: Compare AWS and Azure Services to Google Cloud
#87I use GCP for hobby projects because it’s simpler than AWS, has a better GUI and better documentation. For a commercial project I would probably go with AWS, since I’ve heard a lot of horror stories about GCP support. I’ve been scared away from Azure after using it for a couple of courses at university. It just seemed half-baked: lots of GUI glitches/bugs (e.g. reliably needing to press a button exactly twice). It ju…
Azure by far has the best customer support, great for commercial use
Re: Compare AWS and Azure Services to Google Cloud
#88I use GCP for hobby projects because it’s simpler than AWS, has a better GUI and better documentation. For a commercial project I would probably go with AWS, since I’ve heard a lot of horror stories about GCP support. I’ve been scared away from Azure after using it for a couple of courses at university. It just seemed half-baked: lots of GUI glitches/bugs (e.g. reliably needing to press a button exactly twice). It ju…
They've bet the future of the company on it, it's definitely not a product that only exists because the best product in the category isn't owned by them.
Short of Microsoft as a company going under, Azure won't be going anywhere. There are countless companies that will not do business with Amazon due to them being direct competitors and Azure tends to be the place they land. As others have noted, while there may be some technical gaps between Azure and AWS, they more than make up for it with their legacy enterprise domain knowledge and support (in my experience).
GCP under Kurian appears to be trying to cater to that same subset of customers, but the culture of Google still seems to be a pretty major uphill battle when it comes to being "enterprise friendly".
Re: Compare AWS and Azure Services to Google Cloud
#89Earlier quoted context omitted.
I love Google’s Cloud services. I think in many ways they have the best product. I also worked somewhere where we made a million dollar commit. We had to get support through a VAR because Google basically doesn’t offer support. We basically paid someone else to file tickets that got dismissive responses while we had prod meltdown. They’re also price competitive. I was going to go there again in my current position in…
How long ago was this? On my ‘basic’ workspace plan the help button asks you to describe your issue, but then it’s one click away from getting phone support.
Re: Compare AWS and Azure Services to Google Cloud
#90When I first started dabbling into trying to do something on my own, Google App Engine (GAE) seemed the easiest to understand and get off the ground. And the fact that everything 'just worked' and didn't require setting up stuff was awesome in my opinion. GAE Launcher was the cherry on the cake which is why it was such a bummer when they deprecated it (and this led to my current side project - https://nocommandline.c…
It astounds me to this day that AWS doesn't have a heroku-style "five clicks to have a github repo deploying at a url" PaaS offerring. Beanstalk ain't it, and they cloned DO's "create a VM wizard" (Lightsail) but still no simple GitHub oauth webhook build/deploy. PaaS is such a great and convenient model. It seems a major oversight to me on AWS's part.