Kafka Streams - Real-time Stream Processing - Book Appendix
Learn real-time stream processing with Kafka Streams, from installation to application development and testing. Covers multi-node clusters, Windows setup, and IntelliJ IDEA configuration.
Apache Kafka Tutorials
Comprehensive tutorials on Apache Kafka, covering core concepts, installation, APIs, configurations, and advanced topics for building real-time data streaming applications.
Kafka Streams 101
Learn to build streaming applications with Kafka Streams, covering concepts like streams, tables, joins, time windows, and deployment. Gain hands-on experience in processing data stored in Kafka using this functional Java API.
Spring Framework and Apache Kafka Tutorials - Spring for Apache Kafka 101
Learn to integrate Spring Boot with Apache Kafka®, covering project setup, message publishing/receiving, topic creation, stream processing, and Confluent Cloud integration through hands-on exercises and demonstrations.
Kafka Streams with Spring Cloud
Learn Apache Kafka Streams with Spring Cloud for real-time data processing. Covers setup, message production, stream processing, serialization, aggregation, windowing, joins, and testing.
Demystifying Stream Processing with Apache Kafka
Demystifying stream processing with Apache Kafka, exploring key features, benefits, and challenges. Introduces Kafka Streams library, highlighting its unique design decisions and tradeoffs in the stream processing landscape.
Event Streaming Applications with Kafka - A Live Coding Session
Live coding session on event streaming with Kafka, covering Spring Kafka, Kafka Streams, and Spring Actuator. Learn to create consumers, producers, and streams for scalable, fault-tolerant applications with real-time monitoring.
Deploying Apache Kafka on DC/OS - Best Practices and Challenges
Learn best practices, challenges, and lessons for deploying Apache Kafka on DC/OS. Explore Kafka's role in real-time data pipelines and its integration with microservices in DC/OS environments.
Streaming Data Pipelines on Apache Mesos - Lessons Learned
Explore streaming data pipelines on Apache Mesos, covering tools like Kafka, Spark, and Flink. Learn about Mesos features, implementation details, and lessons from real-world applications.
Beyond the DSL - Unlocking the Power of Kafka Streams with the Processor API
Explore advanced Kafka Streams techniques using the Processor API. Learn to combine DSL and Processors for flexible, powerful stream processing with real-world examples and optimization strategies.
Harnessing Complex Event Processing for Fraud Detection
Explore complex event processing for fraud detection in gambling systems, covering technological evolution and specific use cases in this niche domain.
ElasticSearch, MongoDB and Neo4j Walk Into a Bar - A Tale of Different Databases
Explore using multiple databases in an event-driven microservice architecture, leveraging Kafka and Debezium to replicate data across ElasticSearch, MongoDB, and Neo4j for optimal performance.
Streams vs Serverless - Friend or Foe
Explore the relationship between serverless platforms and stream processors, comparing their capabilities and examining how they complement each other in modern event-driven architectures.
Data Stream Processing - Concepts and Implementations
Explore data stream processing concepts, including time handling, Dataflow API, stream-table duality, data lookup, and deployment strategies. Compare implementations in Apache Spark Streaming, Flink, and Kafka Streams.
Do Microservices Dream About CQRS ES, Kafka Stream and BPMN
Explore a modern microservices platform using Kafka, Kubernetes, and BPMN. Learn how CQRS-ES architecture and Kafka Streams enable scalable, agile workflows and dynamic API generation for improved customer integration.
Building Event Driven Services with Apache Kafka and Kafka Streams
Learn to build event-driven services using Apache Kafka and Kafka Streams. Explore patterns for creating scalable, stateful services with distributed logs and transactional guarantees.
Embracing Database Diversity with Kafka and Debezium
Modernize legacy systems using Event Sourcing: Capture data with Debezium, process with Kafka Streams, and store in diverse databases for flexible, context-specific data access and improved scalability.
A Microservices Journey
Explore a startup's microservices journey, lessons learned, and challenges faced during the transition from monolith architecture. Gain insights on product vision, service interactions, and organizational impacts.
Kafka as a Platform - The Ecosystem from the Ground Up
Explore Apache Kafka's ecosystem: from basic messaging to advanced streaming platform. Learn about topics, partitioning, APIs, stream processing, and enterprise-grade features for scalable data infrastructure.
Apache Kafka for the Spring Developer
Explore Apache Kafka integration with Spring ecosystem for scalable, event-driven architectures. Learn Spring Kafka, Reactor Kafka, Spring Cloud Stream, and Spring Cloud Function through live coding examples.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, APIs, and advanced features. Includes live demo showcasing Kafka's capabilities as a robust streaming data platform.