Scalable Image Processing Using Hosted Cloud Services(blog.iron.io)
blog.iron.io
Scalable Image Processing Using Hosted Cloud Services
http://blog.iron.io/2012/05/best-practices-scaling-image-processing.html
2 comments
I just use chunky PNG for my image processing needs. ImageMagick is too bloated and contains features I don't really need. I call chunky to resize avatars and pictures uploaded once, and then use a delayed job to resize them into other formats that won't be needed immediately.
What would be the advantage of using this vs using Resque + S3 + heroku worker auto-scaling?
No resque setup/management, no auto-scaling setup, scale huge with zero effort (go from processing one image to millions without lifting a finger), redundancy and reliability (how are you going to ensure that with your Resque?), full visibility into your tasks, etc.
I've set up this exact flow using delayed_job, heroku, S3 and paperclip (an awesome gem wrapping imagemagick). I'm with jblake, I don't see the advantage.
Presumably: cheaper, easier set up. Sounds a lot like PiCloud.com
The way I understand their pricing (.05/hr, .10/hr, .15/hr based on minutes jobs get pulled off queue), I'm essentially paying 3x more for priority queuing that I can bypass by setting the INTERVAL=3 in Resque. Hm. This an expensive way to set a variable.
IronWorker is billed by the second so if an image takes 5 seconds to process, you only get billed for 5 seconds of the hour. No need to deal with auto-scaling heroku workers to keep your costs down.
And priority on IronWorker has a much different meaning than setting it on your own private Resque instance so comparing that based on price isn't really a fair comparison.
And priority on IronWorker has a much different meaning than setting it on your own private Resque instance so comparing that based on price isn't really a fair comparison.