InfoQ Homepage Apache Kafka Content on InfoQ
-
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.
/presentations/cloud-native-data-pipeline-kafka/en/mediumimage/Gwebig-1564871370264.JPG)
-
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.
/presentations/kafka-distributed-deployments/en/mediumimage/Kresten-Thorup-QCon-London-m-1564515727454.jpg)
-
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.
/presentations/spring-cloud-kafka-streams-cqrs/en/mediumimage/Doibig-1553787060966.JPG)
-
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.
/presentations/kafka-pks/en/mediumimage/VIkbig-1549596134991.JPG)
-
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.
/presentations/spring-kafka/en/mediumimage/Vicbig-1543796938420.JPG)
-
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.
/presentations/microservices-rdbms-geode-pcf/en/mediumimage/RDBMS-and-Apache-Geode-Data-Movement-1530771953053.jpg)
-
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.
/presentations/cloud-native-kafka-netflix/en/mediumimage/Albig-1523574479018.JPG)
-
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.
/presentations/spring-kafka-2/en/mediumimage/garbig-1521853955302.JPG)
-
Kafka Streams - from the Ground Up to the Cloud
Marius Bogoevici introduces the Kafka Streams API and the Kafka Streams processing engine, showing how to write and deploy Kafka Streams applications using Spring Cloud Stream.
/presentations/kafka-streams-spring-cloud/en/mediumimage/Marbig-1520042921336.JPG)
-
Streaming SQL Foundations: Why I ❤Streams+Tables
Tyler Akidau explores the relationship between the Beam Model and stream & table theory, stream processing in SQL with Apache Beam, Calcite, Flink, Kafka KSQL and Apache Spark’s Structured streaming.
/presentations/beam-model-stream-table=theory/en/mediumimage/Tybig-1518993323788.JPG)
-
Cloud Event-Driven Architectures with Spring Cloud Stream 2.0
Oleg Zhurakousky overviews various types of event-driven architectures, and how the different message-oriented components of the Spring portfolio fit into the picture.
/presentations/event-driven-spring-cloud-2/en/mediumimage/Olebig-1517535177971.JPG)
-
When Streams Fail: Kafka Off the Shore
Anton Gorshkov discusses how to evaluate and architect a resilient streaming platform, focusing on Kafka and Spark streaming and sharing his experience of using them to process financial transactions.
/presentations/streaming-kafka-spark/en/mediumimage/Antbig.JPG)