Latest updates for Apache Kafka

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Recent items include:

  • Kafka With Spring Boot: Introduction
  • How Kafka Works
  • Archivos PDF, ZIP y binarios viajando en Kafka con nombre intacto.

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dzone.com /1 week ago

Kafka With Spring Boot: Introduction

Kafka is a distributed event streaming platform that enables real-time data ingestion, storage, and processing of continuous event streams. To do that, Kafka has a complex internal...

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kodekloud.com /1 month ago

How Kafka Works

Learn how Kafka works and why every backend uses it: producers, consumers, topics, partitions and offsets explained with a checkout example.

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dev.to /3 weeks ago

Archivos PDF, ZIP y binarios viajando en Kafka con nombre intacto.

Archivos PDF, ZIP y binarios viajando en Kafka con nombre intacto. Día 07 de la serie técnica WKafka Open Source. No aprovisiones un bucket en la nube cuando lo único que nece...

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dzone.com /3 weeks ago

Why Databricks and Snowflake Speak the Kafka Protocol: Ingestion vs Architecture

Kafka-compatible ingestion is showing up everywhere now, including in analytics platforms that have nothing to do with running Kafka. Databricks added Kafka-compatible APIs to its...

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dzone.com /1 month ago

Dashboards and Queries for Apache Kafka

Dashboards are everywhere. Business and IT teams use them to track metrics, visualize trends, and make decisions. But when working with real-time data from Apache Kafka, it’s not o...

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dzone.com /1 month ago

Event-Driven AI Systems With Kafka and Autonomous Agents

Enterprise AI is moving beyond isolated prompt-response calls and toward systems that observe events, preserve state, invoke tools, and publish decisions back into operational work...

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dev.to /3 weeks ago

PDF, ZIP and binary files streaming over Kafka with names intact.

PDF, ZIP and binary files streaming over Kafka with names intact. Day 07 of the WKafka Open-Source Engineering Series. Don't provision a cloud bucket when all you need is send...

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habr.com /3 weeks ago

Под капотом Kafka: путь сообщения от send() до commit offset. Часть 2

Привет, Хабр! Меня зовут Максим Шуматбаев, я инженер технической поддержки в Arenadata. Это вторая часть разбора, что на самом деле происходит при работе клиентских приложений с Ka...

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aws.amazon.com /3 weeks ago

Optimize consumer rebalancing on Amazon MSK with next generation protocol

The KIP-848 consumer protocol in Apache Kafka 4.0 redesigns consumer group rebalancing to eliminate stop-the-world pauses. This post explains how the consumer protocol works on Ama...

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habr.com /1 month ago

Очередь без серверов и головной боли: как устроен Serverless Queue в MWS Cloud Platform

Если вы хоть раз эксплуатировали Kafka, то знаете, сколько нервных клеток способен съесть её кластер. Поднять Kafka для PoC несложно, а вот дальше начинается планирование ёмкости,...

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dev.to /4 days ago

kafka-harbor: the Kafka layer every Node.js team rebuilds by hand, done once

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aws.amazon.com /1 month ago

Migrate an OAuth 2.0 authenticated Apache Kafka cluster to Amazon MSK with MSK Replicator

MSK Replicator now supports OAuth 2.0 (SASL/OAUTHBEARER) authentication to external Apache Kafka clusters. This post walks through the three supported grant types, how to configure...

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habr.com /1 month ago

Kafka Connect без магии: как переносить данные и не писать еще один сервис

Привет, бойцы, вы готовы победить перенос данных? Есть задача: перенести данные из PostgreSQL в Kafka. Первая мысль: написать небольшой сервис.Он будет выполнять SELECT, превращать...

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dzone.com /1 month ago

Designing Replay-Safe CDC Pipelines With Kafka, Debezium, and Recovery Contracts

Change data capture (CDC) pipelines look straightforward on paper: capture database changes, publish them to Kafka, and update downstream systems. The difficulty starts when events...

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habr.com /2 weeks ago

[Перевод] Компактация лога в Apache Kafka повреждала данные. Вот как мы это исправили

Компактация лога в Kafka может привести к ситуации, когда разные реплики одного топика начинают хранить разную версию данных — и расхождение сохраняется даже после восстановления б...

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cncf.io /3 weeks ago

From 40 seconds to under 10: rebuilding incident detection on OpenTelemetry, Apache Kafka, and Apache Flink on Kubernete...

Every SaaS company has the same uncomfortable question after a major incident: who noticed first, the monitoring or the customers? For a long time our honest answer was “it depends...

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aws.amazon.com /1 month ago

Best practices for scaling large consumer groups on Amazon MSK

As consumer groups on Amazon MSK scale to thousands of members, the metadata record Kafka writes during rebalances can exceed the 1 MB limit and stall the group. Learn how to estim...

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aws.amazon.com /1 month ago

Amazon MSK Service 101: How many partitions does an Amazon MSK topic need?

How many partitions does your Amazon MSK topic need? Choosing the right partition count affects throughput, scalability, and operational complexity. This post provides practical gu...

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dzone.com /1 month ago

dbt Meets Apache Flink: One Workflow for Data Engineers

Data engineers managing batch SQL pipelines on Snowflake, BigQuery, and increasingly Databricks, and streaming pipelines on Apache Flink face a familiar problem: two toolchains, tw...

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dzone.com /1 month ago

Stream Processing on the Mainframe With Apache Flink: Genius or a Glitch in the Matrix?

Running Apache Flink on a mainframe sounds odd at first. A modern stream processing engine on a platform most people call legacy? But take a closer look. It is not only possible. I...

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techblog.lycorp.co.jp /3 weeks ago

Kafkaアラートの初動調査を支援するAI Alert Watcherの開発(インターンレポート)

はじめにこんにちは。法政大学情報科学部3年の霍 永豪と申します。2026年8月17日〜9月11日の4週間、社内のデータ基盤に使われているKafkaを運用するチームでインターンとして参加し、Grafan...

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dzone.com /1 month ago

Best Practices for Handling Bad Data in Stream Processing Platforms

Today, stream processing platforms facilitate the real-time analysis of data flowing continuously from Internet of Things (IOT) devices, financial transactions, web applications an...

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dzone.com /1 week ago

Consumer Lag Is the Wrong Finish Line

A Kafka recovery often looks successful before it actually is. The replay job exits. Consumer lag drops. Error rate returns to normal. The dashboard is green enough for everyone to...

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habr.com /2 weeks ago

Как использовать Neo4j в data engineering проекте: практический пример с Kafka, ClickHouse и Airflow

Когда говорят о Neo4j, чаще всего вспоминают social networks, fraud detection, recommendation systems или knowledge graphs.Но графовая база может быть полезна и внутри обычного dat...

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Sources covering Apache Kafka

feeds.dzone.com

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aws.amazon.com

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dev.to

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habr.com

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kodekloud.com

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techblog.yahoo.co.jp

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