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javacodegeeks.com /2 weeks ago

Kafka Without ZooKeeper (KRaft): What Java Developers Actually Need to Reconfigure

For over a decade, running Apache Kafka in production meant running two distributed systems simultaneously. Kafka handled message streaming; ZooKeeper handled cluster metadata, con...

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dataengineeringcentral.substack.com /1 month ago

Databricks Zerobus - Event Streams + Lake House (be gone Kafka)

it's always something you know

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simplilearn.com /3 weeks ago

Kafka Vs RabbitMQ: Key Differences & Features Explained | Simplilearn

Reviewed and fact-checked by Sayantoni Das We work and live in a time when we rely increasingly on data to get things done. Applications, services, software, mobile devices, and o...

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simplilearn.com /3 weeks ago

Top 45+ Kafka Interview Questions And Answers | Simplilearn

TL;DR: Kafka interviews test fundamentals, architecture, producers, consumers, streams, and real-world troubleshooting. Strong candidates should explain topics, partitions, offsets...

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dzone.com /1 month ago

Combining Temporal and Kafka for Resilient Distributed Systems

Kafka and Temporal address different failure boundaries, and resilient distributed systems often need both rather than one as a substitute for the other. Kafka is built to move ord...

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dev.to /1 month ago

klag just got a bunch better — here’s what’s new.

Over half year ago IвЂ™ve open sourced klag, a lightweight Kafka consumer lag exporter. IвЂ™ve been working in data streaming systems and data infrastructure for over a decade and...

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aws.amazon.com /1 month ago

Implementing real-time change data capture with Debezium for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL

In this post, we demonstrate how to implement a production-ready CDC solution by using Amazon Aurora for PostgreSQL, Debezium connectors, and Amazon Managed Streaming for Apache Ka...

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devops.com /1 week ago

Developing Real-Time Event Processing With Micronaut and Kafka Streams: A Step-by-Step Guide

Learn how to develop lightweight, high-performance stream processing applications in Java with contemporary frameworks

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dzone.com /1 month ago

Kafka and Spark Structured Streaming in Enterprise: The Patterns That Hold Up Under Pressure

I've been running Kafka and Spark Structured Streaming together in production for about five years. Not in demo environments or proof-of-concept projects. In systems processing ins...

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dev.to /1 month ago

PostgreSQL change data capture governed Apache Iceberg / Parquet on AWS S3 вЂ” built for AI agents.

Core Features pg-cdc is not just replication. pg-cdc streams Postgres Write Ahead Logs(WAL) out of production Postgres into typed, immutable, time-travelable Iceberg tables on S3...

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dzone.com /1 month ago

Mocking Kafka for Local Spring Development

Some time ago, a former teammate of mine reached out with a very specific request: Can you add a way to mock Kafka in your app? I need something simple, just a way for me to prod...

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infoq.com /1 month ago

Article: The Schema Proliferation Problem in Kafka and Flink Pipelines: How to Solve It

Schema proliferation builds slowly and gets expensive fast. One schema per event type feels right until there are ten tables, union queries spanning all of them, and a single field...

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feeds.feedblitz.com /2 weeks ago

Understanding and Avoiding CommitFailedException in Kafka

Learn about what causes the CommitFailedException when working with Kafka in Java and some approaches to help avoid it occurring. The post Understanding and Avoiding CommitFailedE...

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dzone.com /3 weeks ago

Implementing Asynchronous Communication Between Microservices Using Kafka and Spring Boot

In a microservices system, that tight coupling turns a small hiccup into a cascading slowdown. Thread pools fill, retries amplify traffic, and suddenly your simple request is block...

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medium.com /1 week ago

7 Apache Kafka Design Patterns Every Backend Engineer Should Know

Apache Kafka has become the de facto standard for real-time data streaming and event-driven architectures. But simply adopting Kafka isn’t…Continue reading on Medium »

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dzone.com /4 weeks ago

Parallel Kafka Batch Processing With Kotlin Coroutines in Spring Boot

Managing high-volume message traffic in distributed architectures is crucial. Efficient use of database and CPU resources is also very important. There are structures that allow us...

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aws.amazon.com /1 month ago

How Buildkite Operates Test Analytics at Massive Scale with Amazon MSK and Amazon Managed Service for Apache Flink

In this post, we explore how Buildkite uses Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Managed Service for Apache Flink to power Test Engine’s streaming-firs...

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javacodegeeks.com /2 days ago

Building Idempotent Java Consumers for Replay-Safe Kafka Pipelines

Fast Kafka consumers are not automatically safe Kafka consumers. A Java service can keep up with partitions, restart cleanly, and still leave the business in a state that is hard t...

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dzone.com /1 month ago

Contract-First Integration: Building Scalable Systems With Flyway, OpenAPI, and Kafka

After implementing contract-first integration across three different microservices architectures, I've learned that the biggest bottleneck in distributed systems isn't technical; i...

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habr.com /3 weeks ago

Как мы ушли от ETL к CDC: выбираем архитектуру real-time аналитики на PostgreSQL, Kafka и ClickHouse. Часть 1

Все началось с просьбы сделать отчеты в реальном времени. На первый взгляд задача выглядела простой, но довольно быстро выяснилось, что существующая архитектура для этого не подход...

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aws.amazon.com /1 month ago

Real-time CDC from Aurora PostgreSQL to Amazon S3 Tables using Debezium and Firehose

In this post, we show you how to build a CDC pipeline that delivers query-ready Iceberg tables directly. The pipeline captures inserts, updates, and deletes from Aurora PostgreSQL...

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dataengineeringcentral.substack.com /3 weeks ago

Apache Datafusion Comet (Spark Accelerator)

any better than last time?

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dataengineeringcentral.substack.com /1 month ago

Delta Lake + DuckDB. Catalog Commits with Unity Catalog. Unlocking Concurrent Ingestion.

why isn't anyone talking about this?

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sdtimes.com /1 month ago

Confluent Makes it Easier to Build and Secure Real-Time AI at Scale

LONDON — Data streaming provider Confluent today announced new capabilities in Confluent Intelligence and Confluent Cloud that streamline how real-time, artificial intelligence (AI...

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