NOTE: The themes are varied, and some links below are affiliate links. Big data and data engineering, metallurgy, Rust (not the metallurgy-related rust). Expect a similar wide range in the future as well. You can check all my weekly readings by checking the tag here . You can also get these as a weekly newsletter by subscribing here.
I’ve been reading a lot about ZIO lately, even to the point of writing a few simple thinks with the help of a more advanced Scala friend. As I’ve mentioned before, it looks solid
It should surprise no-one, except maybe hardcore rubyists that moving from Ruby to Rust yielded terrific speed-ups. Something similar should happen in Python, though.
One of the core tenets of Rust is having zero-cost abstractions (as in, being as close to manually written). Here you can read how futures fit that goal.
A friend of mine has used Apache Druid before, and has been really happy with its performance, so I’ve been looking into possible use cases to road-test it.
Similarly to Druid, I’ve been checking several things to speed up some areas. Apache HBase might be one of them, and I wanted to see how it works under the hood, I love these details
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