Event Streaming

Build applications that keep up with business

  • RabbitMQ vs Kafka: How to Choose an Event-Streaming Broker

    RabbitMQ vs Kafka: How to Choose an Event-Streaming Broker

    Learn why RabbitMQ fits well into most messaging-streaming scenarios and how it compares to others event-streaming brokers, like Kafka.

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  • How to Build a Kafka-Spark-Solr Data Analytics Platform Using Deployment Blueprints

    How to Build a Kafka-Spark-Solr Data Analytics Platform Using Deployment Blueprints

    The goal is to optimize the server and storage footprint to minimize infrastructure cost.

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  • Spring for Apache Kafka 2.5.13.RELEASE, 2.6.8 & 2.7.1 available

    Spring for Apache Kafka 2.5.13.RELEASE, 2.6.8 & 2.7.1 available

    On behalf of the team and everyone who has contributed, I am pleased to announce that Spring for Apache Kafka 2.5.13.RELEASE, 2.6.8 and 2.7.1 are available now. All versions have some number of...

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  • Tanzu Tuesdays 53 - What’s new in Spring for Apache Kafka 2.7 with Gary Russell38:24

    Tanzu Tuesdays 53 - What’s new in Spring for Apache Kafka 2.7 with Gary Russell

    This talk will start with a brief overview of Spring for Apache Kafka and then we’ll introduce the new features in the recently released 2.7 version, including a large community contribution. It will

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  • Spring for Apache Kafka 2.7.0 Available

    Spring for Apache Kafka 2.7.0 Available

    I am pleased to announce that Spring for Apache Kafka 2.7.0 is now available. This release contains a significant enhancement, which is a community contribution. Failed deliveries can be...

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  • Demystifying Spring Cloud Stream producers with Apache Kafka partitions

    Demystifying Spring Cloud Stream producers with Apache Kafka partitions

    In this blog, we are taking a deeper look at writing a Spring Cloud Stream producer with Apache Kafka and how it handles native partitions in Kafka. Spring Cloud Stream has a middleware...

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  • Blog: Revisited: Understanding When to Use RabbitMQ or Apache Kafka

    Blog: Revisited: Understanding When to Use RabbitMQ or Apache Kafka

    Three years ago, a colleague of mine wrote a post to help readers understand when to use RabbitMQ and when to use Apache Kafka, which many found to be very useful. While the two solutions take...

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  • Blog: Understanding the Differences Between RabbitMQ vs Kafka

    Blog: Understanding the Differences Between RabbitMQ vs Kafka

    Three years ago, a colleague of mine wrote a post to help readers understand when to use RabbitMQ and when to use Apache Kafka, which many found to be very useful. While the two solutions take...

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  • Tanzu.TV/CODE - Spring Cloud Streams and Friends with Mark Heckler1:04:38

    Tanzu.TV/CODE - Spring Cloud Streams and Friends with Mark Heckler

    This week, Mark will be exploring ancillary topics for Spring Cloud Stream and various messaging platforms including Kafka and others, featuring Solace, PubSub etc. --- Mark Heckler is a software de

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  • Tanzu.TV - Between Chair and Keyboard with guest Viktor Gamov1:04:18

    Tanzu.TV - Between Chair and Keyboard with guest Viktor Gamov

    Join Nate Schutta and Viktor Gamov, a Developer Advocate at Confluent, the company that makes an event streaming platform based on Apache Kafka. He enjoys helping architects and developers to design a

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  • Event-driven integration and architecture (with James Urquhart)

    Event-driven integration and architecture (with James Urquhart)

    Learn more: VMware Tanzu An introduction to event-driven architecture and Apache Kafka Learn the 'whats' and 'whys' of Apache Kafka in 15 minutes The Main Event: How Event-Driven Architecture...

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  • Spring for Apache Kafka 2.5.0 Release Candidate

    Spring for Apache Kafka 2.5.0 Release Candidate

    The 2.5.0.RC1 release candidate is now avaialable in the Spring milestone repo. Highlights: kafka-clients 2.5.0 (alignment of version numbers is coincidental). Support for re-committing...

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  • Kafka on Kubernetes: Step-by-step guides to run Kafka on the most popular K8s platforms

    Kafka on Kubernetes: Step-by-step guides to run Kafka on the most popular K8s platforms

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  • Event driven functions with Spring Cloud Stream and Apache Kafka

    Event driven functions with Spring Cloud Stream and Apache Kafka

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  • Data: Ingest, Store and Search JSON data with Apache Kafka and Apache Geode

    Introduction Apache Kafka is a popular solution for ingesting from various data sources and into Kafka topics. For use cases that require key look-ups or querying, traversing the topic for...

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  • Spring for Apache Kafka 2.4 is Available

    Spring for Apache Kafka 2.4 is Available

    To support last week’s Apache Kafka 2.4.0 release, I am pleased to announce that the Spring for Apache Kafka 2.4 - 2.4.0.RELEASE - is available in maven central. This version is essentially...

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  • Spring for Apache Kafka 2.4 Release Candidate

    Spring for Apache Kafka 2.4 Release Candidate

    Hot on the heels of the recent Apache Kafka 2.4.0 release, I am pleased to announce the release candidate for Spring for Apache Kafka 2.4 - 2.4.0.RC1 - is available in the Spring milestone...

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  • Highlights episode No. 1 (cloud-native architecture and technologies)

    Highlights episode No. 1 (cloud-native architecture and technologies)

    Original episodes and blog posts: Learn the 'whats' and 'whys' of Apache Kafka in 15 minutes Learn about Kubernetes and digital transformation in 15 minutes Learn about the nexus of MongoDB and...

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  • Stream Processing with Spring Cloud Stream and Apache Kafka Streams. Part 6 - State Stores and Interactive Queries

    Stream Processing with Spring Cloud Stream and Apache Kafka Streams. Part 6 - State Stores and Interactive Queries

    Part 1 - Programming ModelPart 2 - Programming Model ContinuedPart 3 - Data deserialization and serializationPart 4 - Error HandlingPart 5 - Application Customizations In this part (the sixth and...

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  • Stream Processing with Spring Cloud Stream and Apache Kafka Streams. Part 5 - Application Customizations

    Stream Processing with Spring Cloud Stream and Apache Kafka Streams. Part 5 - Application Customizations

    Part 1 - Programming ModelPart 2 - Programming Model ContinuedPart 3 - Data deserialization and serializationPart 4 - Error Handling In this blog post, we continue our discussion on the support...

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