Author of the article here: thanks for re-posting this! The article seems to be still relevant to many even 4 years later, which surprises me, given how quickly everything is changing in the field.
However, I personally am now focused (and bullish) on DNN-based semantic search. Having built several search experiences based on it I'm convinced it is the future.
Thanks so much for writing this article and pointing readers to the resources. I am planning to build my own personal search engine to reduce SEO spam in my searches, and the resources and concepts here were very helpful.
Regarding DNN-based semantic search, what would you say are the top notable works that one should dive into? What search experiences have you built that you feel was strongly enhanced by DNN-based methods?
Well, you could start by submitting a PR with everything you already know about Beanstalk:
1. That would be very valuable for everyone else.
2. A section, that does not look overwhelmingly empty would attract more and higher quality contributions from others. Kind of a reverse broken windows theory (https://en.wikipedia.org/wiki/Broken_windows_theory).
My guess is that there are companies with "legacy" applications, that can't really be re-written into a distributed system, have a large footprint, but still need to be run.
The special sub-category of those are huge RDBMS instances - a pretty common choke point in growing companies with weaker engineering teams. Some of those companies would pay basically any price to keep those DBs running.
If you want to answer the question "What's the cheapest way to get 16gb of ram and 4 cores?" (or the same for a 1 year term) then having a list you can filter and sort is much more helpful than Amazon's pricing pages.
