Purple Stream

on YouTube ↗05h 25m

" summary

Purple Stream runs four hands‑on sessions: a performance study comparing Spring, Spring Reactive, Quarkus and GraalVM native images with build time up 41×–60× but startup ~100ms and smaller artifacts, using Gatling, Docker and a 500k-record Postgres test dataset; a Spock-centered testing walkthrough showing Spock specs act as live documentation, data tables, mocking and rich reports; a pragmatic tour of functional features across Kotlin/Java/Scala/Clojure/Groovy (monads, Option/Either, Arrow); and an Apache Spark + Scala live demo (RDD/DataFrame/Dataset, Parquet/Avro) that actually runs queries and correlations on flight data.

AI-written summary · about

" chapters (9)

1. 0:00Opening
2. 25:30"Honey, I stress tested shrank images!" - Vadzim Kavalkou
3. 1:11:00Break
4. 1:33:30"Unit Tests as a Specification" - Jegors Cemisovs
5. 2:45:00Break
6. 2:50:55"Treasure.map(): Functional Programming in JVM-based languages"- Karin-Aleksandra Monoid
7. 3:42:55Break
8. 4:03:33"Big Data in Java World: Apache Spark and Scala. Architecture and live coding" - Oleg Klimenko
9. 5:15:45Closing

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