Launch HN: Nimbus (YC W22) – Cloud dev environments for teams
how does it work ? it is git integrated i assume...and do u export a Dockerfile or something to replicate the exact runtime ?<p>my fundamental question is : how easy is it to go from writing code to production deployment ?
This has been the big issue with cloud dev. Take an example of Python flask with Pandas. There are problems depending on whether u used an alpine dev environment or debian. Now if i just take the code and try to deploy it on redhat...it goes all screwy. lots of the c library  extensions start screwing up.<p>Can i single click create a running docker environment with my running code EXACTLY like the code dev environment.<p>Funnily enough, the only good one here is AWS Sagemaker - <a href="https:&#x2F;&#x2F;docs.aws.amazon.com&#x2F;sagemaker&#x2F;latest&#x2F;dg&#x2F;docker-containers.html" rel="nofollow">https:&#x2F;&#x2F;docs.aws.amazon.com&#x2F;sagemaker&#x2F;latest&#x2F;dg&#x2F;docker-conta...</a><p>They do this for machine learning code. You can take your data and algorithms out of the ide and get a running docker container with all the build scripts and everything.<p>second - ur pricing is off. part of the charm of a cloud dev environment is never turn it off. like shutting the lid of my macbook m1 and opening tomorrow morning. even the cursor is in the same place. There is zero incentive for me to shutdown a system and reopen tomorrow morning.
In that scenario, ur pricing for an 8 core 32 gb instance is 421 USD per month.
Comparitively a Google Cloud 8core 32 gb instance with 100 GB SSD is 212 USD.<p>Sagemaker Python notebooks ml.t3.2xlarge are 0.399 USD per hour - about 288 USD per month. you will need to adjust pricing.<p>replit pricing of 7$ hacker plan is cheaper than equivalent Sagemaker pricing (about 36$ per month)