1 min readfrom InfoQ

Article: Scaling Java-Based Real-Time Systems: The Hidden Tradeoffs of Event-Driven Design

Article: Scaling Java-Based Real-Time Systems: The Hidden Tradeoffs of Event-Driven Design

Event-driven architecture promises scalability, but in Java-based real-time systems the tradeoffs only surface in production. Drawing on a Java/Kafka contact center platform handling 80k BHCC across 10k agents, this article details where the design breaks down—state management, partition limits, deduplication, JVM tuning, cascading consumer failures—and the Redis-backed patterns that fixed each.

By Sagar Deepak Joshi

Want to read more?

Check out the full article on the original site

View original article

Tagged with

#real-time data collaboration
#real-time collaboration
#AI-driven spreadsheet solutions
#cloud-based spreadsheet applications
#big data management in spreadsheets
#enterprise data management
#rows.com
#Java
#Real-time systems
#Event-driven architecture
#Kafka
#Scalability
#Tradeoffs
#State management
#Partition limits
#Deduplication
#JVM tuning
#Cascading consumer failures
#Redis
#Contact center