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dzone.com /1 month ago

End-to-End Event Streaming With Kafka, Spring Boot and AWS SQS/SNS (Production-Ready Code Guide)

Event-driven applications often demand high throughput, reliable delivery and flexible fan out messaging. Each platform in our stack plays a distinct role: Apache Kafka provides a...

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dzone.com /1 month ago

End-to-End Streaming Optimization: Kafka to Delta With Exactly-Once Guarantees

Modern data applications often rely on real-time pipelines that ingest events from systems like Apache Kafka into data lakes. Ensuring exactly once delivery is critical; each event...

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dzone.com /1 week 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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kai-waehner.medium.com /1 month ago

Apache Kafka and Flink in Retail: Social Commerce from Influencers to Inventory

Social networks are now commerce platforms. TikTok, Instagram, and Facebook combine entertainment, influencer content, and in-app checkout…Continue reading on Medium »

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snowflake.com /1 month ago

Snowflake Kafka Connector V4

Experience up to 10 GB/s throughput and 50% cost savings with Snowflake Kafka Connector V4. Move ingestion logic server-side for better performance.

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habr.com /3 weeks ago

Про 11 типичных ошибок при проектировании интеграции с помощью Kafka на примерах

Всем привет! На связи Антон Воробьёв — архитектор в Альфа-Банке. Некоторое время назад у нас появился нативный порт C-клиента librdkafka, который сделали наши коллеги из компании B...

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dzone.com /3 days 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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habr.com /2 weeks ago

Полный гайд по каналам обмена сообщениями: от теории к реальным кейсам

Первая статья из цикла о каналах обмена сообщениями. Разбираем архитектурные дилеммы, конкурирующих потребителей, message storm, гарантированную доставку и лучшие практики команд,...

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habr.com /2 weeks ago

Полный гайд по каналам обмена сообщениями: от теории к реальным кейсам

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habr.com /2 weeks ago

Полный гайд по каналам обмена сообщениями: от теории к реальным кейсам

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habr.com /2 weeks ago

Apache Kafka: как настроить тестирование сообщений в топиках

Привет, Хабр! Я SDET-инженер в SimbirSoft Александр, в этой статье я предлагаю вам:Рассмотреть основы Kafka, ее архитектуру и как она работает.• Выяснить, как тестируются сообщения...

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dzone.com /1 day ago

Event-Driven Pipelines With Apache Pulsar and Go

A Practical Walkthrough Most distributed systems eventually hit a wall with their messaging layer, whether it's Kafka's tight coupling between compute and storage, RabbitMQ's limit...

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dzone.com /3 weeks ago

Building Fault-Tolerant Kafka Consumers in Spring Boot Using Retry, DLQ, and Idempotent Code Patterns

Apache Kafka is a robust distributed streaming platform, but building a fault tolerant consumer requires careful handling of errors and duplicates. In this article, we focus on Spr...

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aws.amazon.com /1 month ago

Streamline Apache Kafka topic management with Amazon MSK

In this post, we show you how to use the new topic management capabilities of Amazon MSK to streamline your Apache Kafka operations. We demonstrate how to manage topics through the...

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dzone.com /3 weeks ago

How AI Is Rewriting Full-Stack Java Systems: Practical Patterns with Spring Boot, Kafka and WebSockets

Building real-time applications means balancing user responsiveness with heavy backend processing. A proven solution is to decouple heavy workloads using events and asynchronous pr...

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habr.com /1 month ago

Как перестать терять данные в Kafka: окно безопасности и проактивный мониторинг «возраста» данных

В Kafka данные могут пропадать, даже если в конфигах стоит хранение 7 дней. В этом коротком кейсе — как я решил проблему потери данных, внедрив мониторинг «окна безопасности».Пробл...

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aws.amazon.com /3 days 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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habr.com /1 month ago

Kafka для начинающих: Apache Avro и Schema Registry (практика)

Переводим нашу платформу с JSON на Apache Avro и Schema Registry. Заменяем сериализаторы и десериализаторы, генерируем классы из схем и разбираем разницу между GenericRecord и Spec...

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dev.to /4 weeks ago

O Maestro do Ecossistema: Orquestrando Ordens de Mercado com Kafka, RabbitMQ e Spring Boot

Olá, pessoal! Chegamos em um dos posts mais importantes da série My Broker B3. Até aqui construímos cada peça do ecossistema separadamente — o sincronizador de preços, o matching...

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evilmartians.com /1 month ago

Migrating an event pipeline from NATS to Kafka with zero downtime

Originally appeared on Evil Martians.Authors: Camila Mirabal, Tech writer, and Travis Turner, Tech EditorTopics: Case Study, DX, Infrastructure, Ruby on RailsEvil Martians migrated...

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aws.amazon.com /1 month ago

Migrate third-party and self-managed Apache Kafka clusters to Amazon MSK Express brokers with Amazon MSK Replicator

In this post, we walk you through how to replicate Apache Kafka data from your external Apache Kafka deployments to Amazon MSK Express brokers using MSK Replicator. You will learn...

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dzone.com /3 weeks ago

Evolving Spring Boot APIs to an Event-Driven Mesh

Overview As modern applications require greater scalability, resilience, and responsiveness, traditional REST-based architectures are hitting their limits. This article looks into...

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dzone.com /1 month ago

Automating Threat Detection Using Python, Kafka, and Real-Time Log Processing

Log-driven detections often fail for predictable engineering reasons: events arrive too late for containment, sources emit inconsistent fields, and pipelines become non-determinist...

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infoq.com /5 days 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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