Building a Real-Time AI Data Platform with Apache Kafka
Explore building a real-time AI data platform using Apache Kafka, focusing on migrating from batch to stream processing without stateful components. Learn about Forecasty.ai's journey and innovative solutions.
Fast Fourier Transform (FFT) of Time Series in Kafka Streams
Explore digital signal processing with Kafka Streams, transforming time-domain signals to frequency domain using FFT. Learn to build a precise frequency alert system and visualize results in real-time.
The Nuts and Bolts of Kafka Streams - An Architectural Deep Dive
Explore Kafka Streams' internal architecture for efficient application deployment and tuning. Learn threading models, partition assignment, and key configurations to optimize performance and scalability.
The Wonderful World of Apache Kafka
Explore Apache Kafka's ecosystem, including Producer and Consumer libraries, Connect, Streams, and Schema Registry. Gain insights for implementing Kafka in your organization.
Building a Dynamic Rules Engine with Kafka Streams
Develop a real-time threat detection system using Kafka Streams. Learn to handle dynamic rule modifications, implement external data feeds, and apply best practices for stream processing.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka ecosystem: from basic concepts to advanced features, including topics, APIs, stream processing, and enterprise-grade capabilities.