Apache Kafka News

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  Putting Events in Their Place with Dynamic Routing
  • sorangutan  

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  Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices […]
  
  https://www.confluent.io/blog/putting-events-in-their-place-with-dynamic-routing
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  KSQL: What’s New in 5.2
  • sorangutan  

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  KSQL enables you to write streaming applications expressed purely in SQL. There’s a ton of great new features in 5.2, many of which are a result of requests and support […]
  
  https://www.confluent.io/blog/ksql-whats-new-in-5-2
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  Introducing Confluent Platform 5.2
  • sorangutan  

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  Includes free forever Confluent Platform on a single Apache Kafka® broker, improved Control Center functionality at scale and hybrid cloud streaming We are very excited to announce the general availability […]
  
  https://www.confluent.io/blog/introducing-confluent-platform-5-2
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  Consuming Messages Out of Apache Kafka in a Browser
  • sorangutan  

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  Imagine a fire hose that spews out trillions of gallons of water every day, and part of your job is to withstand every drop coming out of it. This is […]
  
  https://www.confluent.io/blog/consuming-messages-out-of-apache-kafka-in-a-browser/2
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  The Importance of Distributed Tracing for Apache-Kafka-Based Applications
  • sorangutan  

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  Apache-Kafka®-based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. One result of this is that producers and consumers don’t […]
  
  https://www.confluent.io/blog/importance-of-distributed-tracing-for-apache-kafka-based-applications
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  Kafka Streams’ Take on Watermarks and Triggers
  • sorangutan  

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  Back in May 2017, we laid out why we believe that Kafka Streams is better off without a concept of watermarks or triggers, and instead opts for a continuous refinement […]
  
  https://www.confluent.io/blog/kafka-streams-take-on-watermarks-and-triggers
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  SOA vs. EDA: Is Not Life Simply a Series of Events?
  • sorangutan  

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  When should you use an API? When should you use an event? Most contemporary software architectures are some mix of these two approaches. I will attempt to articulate in layman’s […]
  
  https://www.confluent.io/blog/soa-vs-eda-is-not-life-simply-a-series-of-events
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  Kafka Connect Deep Dive – Error Handling and Dead Letter Queues
  • sorangutan  

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  Kafka Connect is part of Apache Kafka® and is a powerful framework for building streaming pipelines between Kafka and other technologies. It can be used for streaming data into Kafka […]
  
  https://www.confluent.io/blog/kafka-connect-deep-dive-error-handling-dead-letter-queues
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  Spring for Apache Kafka Deep Dive – Part 2: Apache Kafka and Spring Cloud Stream
  • sorangutan  

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  On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support, here in part two we’ll focus […]
  
  https://www.confluent.io/blog/spring-for-apache-kafka-deep-dive-part-2-apache-kafka-spring-cloud-stream
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  CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud
  • sorangutan  

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  Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. It usually starts with the opening of a firehose that […]
  
  https://www.confluent.io/blog/cloudbanks-journey-mainframe-streaming-confluent-cloud
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  All About the Kafka Connect Neo4j Sink Plugin
  • sorangutan  

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  Only a little more than one month after the first release, we are happy to announce another milestone for our Kafka integration. Today, you can grab the Kafka Connect Neo4j […]
  
  https://www.confluent.io/blog/kafka-connect-neo4j-sink-plugin
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  Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless
  • sorangutan  

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  With serverless being all the rage, it brings with it a tidal change of innovation. Given that it is at a relatively early stage, developers are still trying to grok […]
  
  https://www.confluent.io/blog/journey-to-event-driven-part-3-affinity-between-events-streams-serverless
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  Spring for Apache Kafka Deep Dive – Part 1: Error Handling, Message Conversion and Transaction Support
  • sorangutan  

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  Following on from How to Work with Apache Kafka in Your Spring Boot Application, which shows how to get started with Spring Boot and Apache Kafka®, here we’ll dig a […]
  
  https://www.confluent.io/blog/spring-for-apache-kafka-deep-dive-part-1-error-handling-message-conversion-transaction-support
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  Improving Stream Data Quality with Protobuf Schema Validation
  • sorangutan  

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  The requirements for fast and reliable data pipelines are growing quickly at Deliveroo as the business continues to grow and innovate. We have delivered an event streaming platform which gives […]
  
  https://www.confluent.io/blog/improving-stream-data-quality-with-protobuf-schema-validation
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  Sysmon Security Event Processing in Real Time with KSQL and HELK
  • sorangutan  

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  During a recent talk titled Hunters ATT&CKing with the Right Data, which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and […]
  
  https://www.confluent.io/blog/sysmon-security-event-processing-real-time-ksql-helk
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  Kafka Summit 2019: 3 Big Things!
  • sorangutan  

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  How many Kafka Summits should there be in a year? Experts disagree. Some say there should be one giant event where everybody gathers at once. Some say there should be […]
  
  https://www.confluent.io/blog/kafka-summit-2019-3-big-things
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  Journey to Event Driven – Part 2: Programming Models for the Event-Driven Architecture
  • sorangutan  

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  Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, […]
  
  https://www.confluent.io/blog/journey-to-event-driven-part-2-programming-models-event-driven-architecture
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  Kafka Connect JDBC Source Connector – Deep Dive
  • sorangutan  

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  One of the most common integrations that people want to do with Apache Kafka® is getting data in from a database. That is because relational databases are a rich source […]
  
  https://www.confluent.io/blog/kafka-connect-jdbc-source-connector-deep-dive
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  Machine Learning with Python, Jupyter, KSQL and TensorFlow
  • sorangutan  

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  Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine […]
  
  https://www.confluent.io/blog/machine-learning-with-python-jupyter-ksql-tensorflow
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  A Beginner’s Perspective on Kafka Streams: Building Real-Time Walkthrough Detection
  • sorangutan  

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  Here at Zenreach, we create products to enable brick-and-mortar merchants to better understand, engage and serve their customers. Many of these products rely on our capability to quickly and reliably […]
  
  https://www.confluent.io/blog/beginners-perspective-kafka-streams-building-real-time-walkthrough-detection