Jacek Kunicki Interview
summary
Works in Scala and confronts real concurrent-execution bugs: thread pools and execution contexts were causing the app to block until the team separated long-running I/O onto different threads and fixed the bottleneck. A data pipeline doesn’t fit one machine so it uses Cassandra and required rethinking partitioning, cluster sizing and distribution to meet throughput. Discussion emphasizes practical tradeoffs around eventual consistency and pragmatic benefit of Scala’s functional mindset.
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