In particular the hosting credits really lets you play around with dev without breaking the bank.
In most cases startups utilize AWS and GCP and they are generally really good, but both DO's Hatch and IBM a lot of people are missing out.
DO is awesome for startups without really good devops since they streamline a lot of the config work so it helps a lot getting the basics set up. We have a lot our free user plans on DO because it's much more cost effective and predictable (pricing wise) than AWS and GC.
IBM is also useful in a different use case because of their easy to setup dedicated hardware servers. 10k per month buys a lot of dedicated hardware (esp GPU) if you need it which is a godsend for us since we do a lot of ML and performance is dramatically better than any of the g/p instances on AWS.
How hard was it to move from the Builder to the Premium plan? It looks pretty amazing. Though i probably wouldnt want to host a netflix-type app on an IBM cloud. Shudder... ;)
as in from the 1k plan to 10k per month? You're supposed to be in an "approved" accelerator to get it, but in reality if you pester the reps, they will move you up.
By rep what I mean is IBM has a network of people who go out and evangelize their offerings. They are the people who vet the original applications and if you live in a large city with a decent tech scene, you'll eventually run into that person.
First time I did it, I wasn't on the approved accelerator the local rep moved me up after I convinced him how cool it be for us to be "powered by IBM softlayer", as it was known back then
In particular the hosting credits really lets you play around with dev without breaking the bank.
In most cases startups utilize AWS and GCP and they are generally really good, but both DO's Hatch and IBM a lot of people are missing out.
DO is awesome for startups without really good devops since they streamline a lot of the config work so it helps a lot getting the basics set up. We have a lot our free user plans on DO because it's much more cost effective and predictable (pricing wise) than AWS and GC.
IBM is also useful in a different use case because of their easy to setup dedicated hardware servers. 10k per month buys a lot of dedicated hardware (esp GPU) if you need it which is a godsend for us since we do a lot of ML and performance is dramatically better than any of the g/p instances on AWS.