Completed
50:42 His take on AI and why he doesn’t trust generated code
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Scaling the Web - Jetty, Multi-Core, Performance Myths
Automatically move to the next video in the Classroom when playback concludes
- 1 00:00 Teaser
- 2 01:10 Who is Ludovic Orban?
- 3 02:04 What “web scale” really means, and who actually needs it
- 4 03:54 How hardware changes reshaped software performance
- 5 06:28 Cloud, containers, and why performance still matters
- 6 07:28 Jetty vs Tomcat: history, adoption & performance
- 7 10:47 What makes Jetty “fast” in practice
- 8 13:21 How the Jetty team prioritizes performance
- 9 15:10 Recent work: fixing complex HTTP/2 bugs
- 10 16:38 How WebTide supports customers beyond Jetty issues
- 11 17:52 Bitronix: Why Ludovic built his own transaction manager
- 12 20:45 Open-source challenges. The rise and fall of Bitronix
- 13 24:19 Distributed transactions vs compensating transactions
- 14 27:07 Where to learn more: Atomikos and modern approaches
- 15 28:25 Terracotta: clustering JVMs and wild engineering stories
- 16 31:20 What Terracotta taught him about the JVM
- 17 33:48 Real-world Java performance mistakes developers make
- 18 40:22 Why learning performance is so hard
- 19 45:40 Kubernetes, abstraction, and performance visibility
- 20 48:50 Hardware that excites Ludovic: Oxide Computer
- 21 50:42 His take on AI and why he doesn’t trust generated code
- 22 53:30 Lessons from Jetty, Terracotta, Bitronix, and Quartz
- 23 56:10 Rapid-fire questions
- 24 01:01:15 Giveaway and outro
