I'd be really interested to know more about how the switch shaved 40% off of the response times. What was the major bottleneck? RAM? CPU? Network IO to PostgreSQL? Network IO to memcache?
Heroku is offering 2X and soon, 4X dynos; did he experiment with these?
The author also sounds rather excited about nginx serving static assets. The Rack::Cache problem on Heroku is easily solved with a CDN layer (and Heroku even recommends you do so.) (Cult Cosmetics /is/ set up with CloudFront, so the author obviously knows this.)
There are a lot of Rails architecture smells in this article, such as worrying about the 60-second boot timeout and the 30-second request timeout. [1] I have to wonder if the time invested in learning Chef and managing the architecture may have been spent making the app more performant.
Developer time is really, really expensive. Not only can you bill $100-$150 hour instead of learning how to use Chef, you could be shipping features for your own products, which can bring you passive income forever. A lot of companies are successfully running on Heroku, and it seems strange to throw everything out for the explained reasons.
[1] Specifically, adding 'require: false' to your Gemfile and only loading heavy libraries when you need them greatly helps with boot time. Ideally, you won't run any image processing libraries (like RMagick) except in background jobs, and your main app should not even need these libraries available. Same goes for PDF generation, scraping technology, or any other heavy processing.
The 30-second timeouts either need to be handled via background jobs (the author mentioned they use sidekiq) or uploading directly to S3, side-stepping the web process entirely.