InfoQ Homepage Apache Kafka Content on InfoQ
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Practical Change Data Streaming Use Cases with Apache Kafka & Debezium
Gunnar Morling discusses practical matters, best practices for running Debezium in production on and off Kubernetes, and the many use cases enabled by Kafka Connect's single message transformations.
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Apache Kafka Event-streaming Platform for .NET Developers
Viktor Gamov reviews Kafka -internal architecture, fault-tolerance, message durability- and how the Confluent .NET client offers a framework for computation over streaming data.
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RabbitMQ and Kafka
Zoe Vance, Madhav Sathe discuss the architecture and design of RabbitMQ and Kafka, and how that impacts performance, scalability and app design.
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Building Reactive Pipelines: How to Go from Scalable Apps to (Ridiculously) Scalable Systems
Mark Heckler discusses and demoes reactive and highly scalable microservices built with Project Reactor using RabbitMQ, Apache Kafka, and Spring Cloud Stream.
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Cloud-Native Data Pipelines with Apache Kafka
Gwen Shapira discusses how data engineering requirements changed in a cloud-native world, and how the solutions change with them.
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Streaming Log Analytics with Kafka
Kresten Thorup discusses how and why they use Kafka internally and demos how they utilize it as a straightforward event-sourcing model for distributed deployments.
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Building Cloud-Native Data-Intensive Applications with Spring
Sabby Anandan and Soby Chako discuss how Spring Cloud Stream and Kafka Streams can support Event Sourcing and CQRS patterns.
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Cloud-Native Streaming Platform: Running Apache Kafka on PKS
Viktor Gamov, Prasad Radhakrishnan cover the challenges and lessons learned from the development of Confluent Operator for Kubernetes as well as various custom deployments on PKS.
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Walking up the Spring for Apache Kafka Stack
Viktor Gamov and Gary Russell discuss several Spring projects targeted at Kafka developers: spring-kafka, spring-integration-kafka, the kafka binder for spring-cloud-stream.
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RDBMS and Apache Geode Data Movement: Low Latency ETL Pipeline by Using Cloud-Native Event Driven Microservices
Paul Warren, Heather Riddle discuss how to create cloud-native event driven microservices for RDBMS and Apache Geode by using Cloud Foundry, Spring Cloud Stream, and RabbitMQ/Kafka.
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Cloud-Native and Scalable Kafka Architecture
Allen Wang talks about how Netflix addresses the issues of stability and scalability in a cloud environment by having many smaller and mostly immutable Kafka clusters with limited state changes.
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What's New in Spring for Apache Kafka 2.0
Gary Russell discusses Spring's support for Kafka including better threading and a new consumer-aware listener.
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