How to Make Decisions in Real-time While Processing 30 Million Requests per Minute

Explore real-time decision-making strategies for processing 30 million requests per minute in this 31-minute conference talk by Igor Pernek at WeAreDevelopers. Discover how to leverage Kafka, Spark Streaming, and Aerospike to optimize system load, accelerate data delivery, and reduce infrastructure costs. Learn about the architecture that enables up to 20% reduction in unnecessary network traffic. Gain insights into scaling challenges, implementation of data streaming technologies, and practical optimization techniques for high-volume data processing environments.

Introduction
Why 30 Million Requests per Minute
How it started
Growth
Spark
Kafka
Kafka internals
Aerospike
Profit
Optimization
Giveaway Winner