Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, architecture, and advanced features like stream processing APIs, with practical demonstrations and industry insights.
Why Spring Belongs in Your Data Stream - From Edge to Multi Cloud
Explore building data streaming apps at scale using Spring, from edge to multi-cloud. Learn to integrate Spring with Kafka, MQTT, and other technologies for real-time processing in IoT and cloud environments.
Introduction to Strimzi - Apache Kafka on Kubernetes
Learn to deploy and manage Apache Kafka on Kubernetes using Strimzi, addressing challenges and exploring features through explanations and a live demo.
Kafka Microservices with Kafka plus Akka and Kafka Streams
Explore microservices architecture using Kafka, Akka, and Kafka Streams for scalable, event-driven systems. Learn implementation techniques and best practices from an industry expert.
Expressive Kafka Streams API for Scala Developers
Explore an expressive Kafka Streams API tailored for Scala developers, enhancing stream processing capabilities and improving code readability in distributed systems.
Kafka Based Microservices with Akka Streams and Kafka Streams
Explore Kafka-based microservices using Akka Streams and Kafka Streams, covering architecture benefits, streaming alternatives, and practical examples in Scala.
Stream Data Processing for Fun and Profit
Explore distributed data processing frameworks for handling large-scale event streams. Learn about Apache Storm, Spark, and emerging platforms to build reliable, scalable systems for real-time data processing.
Introduction to Kafka Streams
Learn the fundamentals of Kafka Streams, a powerful library for building real-time stream processing applications within the Apache Kafka ecosystem.
Creating a Kafka Streams Application
Develop a Kafka Streams application using KStream types and configurations for efficient data processing and analysis.
Apache Kafka 3.5 - Core, Connect, Streams, and Client Updates
Explore key updates in Apache Kafka 3.5, including KRaft migration preview, improved error handling, versioned state stores, and enhanced client-side features for better performance and flexibility.
Cloud Kafka Resiliency and Fault Tolerance for Data Streaming Systems
Manage cloud volatility, configure Kafka clients for resilience, and explore error handling in Kafka Streams. Learn idempotent operations and exactly-once processing for robust data streaming applications.
Creating Custom Queries with Kafka Streams IQv2
Explore custom queries with Kafka Streams Interactive Queries v2. Learn to build IQ services, create tailored queries, and test applications for efficient state store access and business-aligned data processing.
Keep Your Cache Always Fresh with Debezium
Explore how to maintain synchronized read views in distributed caches using change data capture, Debezium, Apache Kafka, and Infinispan. Learn to create denormalized data views and implement cross-site replication for cache updates.
Creating Event-Driven Microservices - The Why, How, and What
Explore event-driven microservices architecture, including key patterns, Apache Kafka's role, and practical implementation strategies for building scalable and resilient systems.
Event Streaming Applications with Kafka Streams, Spring Kafka, and Actuator
Explore event streaming with Kafka Streams, Spring Kafka, and Actuator. Learn to build scalable, fault-tolerant applications using live coding examples for consumers, producers, and fraud detection streams.
Reactive Microservice Orchestration with Camunda
Explore reactive microservice orchestration using Camunda for scalable, customizable insurance platforms. Learn about non-blocking service integration, Kafka streams, and real-time monitoring in complex architectures.
Apps Modernization Strategy - A Light at the End of the Tunnel
Explore a modernization strategy using the outbox pattern and event-driven technologies. Learn how change data capture enables legacy app extension within cloud-based microservice architectures, using Kafka, Quarkus, and OpenShift.
Build Real-time Machine Learning Apps on Generative AI with Kafka Streams
Develop real-time ML applications using Generative AI and Kafka Streams, leveraging data in motion for intelligent, streaming-based solutions.
PICKUP DATA - A Kafka Adventure Game
Explore Apache Kafka's potential as a game engine through a text-based adventure, learning about event systems, Kafka Streams, and diverse applications of event stores.
Online Machine Learning Based on Kafka Streams - Pollution Prediction System
Explore a system predicting pollution levels using Kafka Streams, based on historical and current weather data. Learn from WorldRemit's open-source project for practical machine learning applications.
Architecting Applications with Multiple Open-Source Big Data Technologies
Discover insights on architecting complex distributed systems using multiple open-source big data technologies. Learn from real-world examples in IoT, fintech, and more.