Flow - used it at work for an odd use case where had to merge data from 3 database sources (given to me in csv format) against other data to migrate it. It involved 100s of millions of rows and lots of unknowns so flow was perfect for processing and adaptability whereas spark or many similar solutions felt a bit heavy for the use case.
GenStage specifically: we needed an internal load tester and GenStage plus easy concurrency allowed to quickly build an effective and reliable tool with rate control
There is a 100% chance I'll end up referencing this article in the future.
For most needs personally after having learned the ins and outs I still have a soft spot for sphinx so was happy to see honorable mention in there. It can scale really cheap and is a tank that never has downtime. It is closer to metal but if you look at how Craigslist does it you can do the fancy scaling things still
On another hand that point is only true if other issues of overurbanization and lack of supportive infra in cities exist. And nobody buys an unsubsidized electric car in China. Create problems so one can create a solution.. I suppose everyone has a mortgage. And then would have to look at how these cars and batteries are made with such thin margins.. it gets dark at that point
Great story. I worked as your competitor with metrolyrics about 5 years ago. It was a lot more interesting than I thought it would be. I think you put the correct amount of effort in, added some value and moved on nicely. Much kudos
GenStage specifically: we needed an internal load tester and GenStage plus easy concurrency allowed to quickly build an effective and reliable tool with rate control