Explore the critical impact of seemingly minor details when scaling applications to handle massive data processing in this conference talk from Devoxx Poland 2019. Discover how factors like file descriptor limits and cache behavior become crucial considerations when building systems for millions of users. Learn from the experiences of DreamLab, Ringier Axel Springer's tech hub, as they share insights gained while developing a personalization platform handling over 10,000 requests per second for more than 30 million users. Gain valuable knowledge about designing and optimizing large-scale, real-time data processing systems, and understand why details that may seem insignificant in smaller applications can have profound effects on performance at scale.
Overview
Syllabus
Small things make huge impact at big scale - lessons learned from creating a ... - Jakub Kubal
Taught by
Devoxx