161–170 of 268 posts
(At one point somebody accidentally spent £30,000 in data transfer costs with one key press.)
The project was never completed and the CTO just moved on to another fancy CTO position.
Earlier quoted context omitted.
Cloud Run works on all three major clouds, and VMWare, and Bare Metal. No lock-in here.
Do you mean GCP Cloud Run [1] ? I would love to have it on AWS and Azure if you have a link to share. Or do you mean it's possible, but through different services on each cloud? [1] https://cloud.google.com/run
I've done Aws, Azure, Google.
My basic impression, as a software engineer/site reliability engineer, is that Google >> AWS >> Azure.
This relates to sophistication of offering and design of cloud.
The dominant questions look like this: - what is the familiarity to the infra people - can we implement appropriate governance concerns - how tightly bound is your important code with the specific cloud?
I have generally focused on Kubernetes in the last 5 years, to allow the service layer to be relatively portable. This is very useful in the switching/migrating question.
My general thought process is not to use cloud services unless its very obvious (ec2, s3, etc); prefer to have k8s services provide that capability and use the cloud provider as portable COTS.
Yup moved from AWS --> GCP --> Oracle Most because of cost mitigation.
Are you happy with Oracle? I wanted to try it, but the onboarding process (until you're able to actually order some beefy servers) was so problematic (delays, weird error messages, conflicting messages from support) that I didn't dare putting production servers there.
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The cloud has normalized terrible underpowered VMs, so many new developers may just not be aware of how much performance a real dedicated machine has - even a relatively "mid range" one (i7 & 16 GB RAM).
This! I benchmarked a whole bunch of different cloud providers for fun (& my bachelor thesis) and was impressed by how bad some cloud VPS perform. Considering the really steep price to get any kind of significant memory/CPU resources with the major cloud providers as well as the steep bandwidth charges this little experiment was eye opening
Earlier quoted context omitted.
Cloud Run works on all three major clouds, and VMWare, and Bare Metal. No lock-in here.
Do you mean GCP Cloud Run [1] ? I would love to have it on AWS and Azure if you have a link to share. Or do you mean it's possible, but through different services on each cloud? [1] https://cloud.google.com/run
Earlier quoted context omitted.
Do you mean GCP Cloud Run [1] ? I would love to have it on AWS and Azure if you have a link to share. Or do you mean it's possible, but through different services on each cloud? [1] https://cloud.google.com/run
I assume the OP is referring to Knative[0] which is the framework powering Cloud Run behind the scenes. [0] https://knative.dev/
Switched from Amazon to Google because I hate Amazon more than Google. Feature-wise, I'm just as happy. However, I trust Google more, but that probably boils to my hatred again. :)
Interesting that you trust Google more in this regard. Given Google's terrible history of deprecating products, I would not trust any "real world" business to any of their services. Also, at some point I was playing with Serverless in both Google and AWS. Google's Serverless examples were broken (Google cloud was returning 500 errors) while the same stuff in AWS worked smoothly. That left me with a bad taste.
Really crappy that the demos sucked tho, sorry :(