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News

The New Stack
thenewstack.io > isolate-kafka-consumer-tests

How routing keys isolate Kafka consumer tests on a shared broker

14+ hour, 47+ min ago   (460+ words) Isolate Kafka consumer tests on shared brokers using routing keys instead of costly topic duplication or multi-cluster setups....

DEV Community
dev.to > theophilus_frimpong_a092c > you-might-not-need-kafka-building-a-job-queue-with-postgresql-30nd

You Might Not Need Kafka: Building a Job Queue with PostgreSQL

1+ day, 3+ hour ago   (333+ words) A job needs a few things to execute properly within a system. It needs to be persistent, surviving unforeseen crashes. Jobs must not be processed more than once by workers; one job should be processed once by one worker. Also,…...

DEV Community
dev.to > okazimirov > kafka-record-headers-in-stateful-functions-closing-a-five-year-old-gap-5bon

Kafka record headers in Stateful Functions: closing a five-year-old gap

1+ day, 12+ hour ago   (71+ words) Apache Stateful Functions never let a function see Kafka record headers, and never let it set them. Five years, no headers. StateFun Actors 3.4.0-KZM-3.4 closes that gap. Read them on the way in, set them on the way out: Turn…...

DevOps.com
devops.com > when-the-message-broker-becomes-the-bottleneck-scaling-push-and-sms-with-mongodb-polling

When the Message Broker Becomes the Bottleneck: Scaling Push and SMS With MongoDB Polling

1+ day, 22+ hour ago   (935+ words) How Wheely replaced an unreliable RabbitMQ workflow with a MongoDB polling queue and centralized Go service to scale notification delivery....

Tech Insider
tech-insider.org

SQS vs Kafka 2026: Throughput, Pricing & Migration

2+ day, 11+ hour ago   (1401+ words) Industry insights, the latest tech news, and special interviews, all in the Tech Insider Newsletter. In short: reach for SQS when you need simple, reliable task decoupling and don’t want to manage a cluster. Reach for Kafka when you need…...

DEV Community
dev.to > morpheus-vera > building-reliable-event-driven-systems-event-schemas-versioning-contract-testing-and-events-vs-47ed

Building Reliable Event-Driven Systems: Event Schemas, Versioning, Contract Testing and Events vs Commands (5/5)

3+ day, 18+ hour ago   (507+ words) In this final article, we're going to explore Production practices 22. Events Are Delivered, Not Guaranteed A common misconception in event-driven architecture is that publishing an event guarantees it will be processed exactly once. Reliable systems are not built on ideal…...

Medium
medium.com > @mariam.estrada > from-raw-sap-tables-to-kafka-streams-a-technical-walk-through-one-connect-2839e5dbdb7a

From Raw SAP Tables to Kafka Streams: A Technical Walk Through One Connect

4+ day, 2+ hour ago   (1396+ words) If you’ve ever tried to get real-time data out of SAP, you already know the feeling. You open a transaction, you see the …...

DEV Community
dev.to > turboline_ai_ > show-hn-flaredb-apache-beam-native-streaming-database-for-realtime-analytics-40cf

Show HN: FlareDB – Apache Beam native streaming database for realtime analytics

5+ day, 21+ hour ago   (601+ words) Every real-time data pipeline I've seen in production eventually hits the same awkward moment: the stream processor hands off to the database. Kafka to Flink. Flink to Postgres. Maybe a Redis layer squeezed in between for low-latency reads. Each hop…...

DEV Community
dev.to > turboline_ai_ > building-a-real-time-translation-pipeline-with-kafka-and-event-driven-architectureapachekafkala-ja7

Building a Real-Time Translation Pipeline with Kafka and Event-Driven Architecture #apachekafka la

5+ day, 21+ hour ago   (750+ words) Most translation pipelines fail the same way. Everything works fine in staging. You hit production load, and suddenly workers are timing out, queues are backing up, and your ops team is staring at a latency graph that looks like a…...

DEV Community
dev.to > turboline_ai_ > build-your-first-event-driven-application-with-apache-kafka-1mdg

Build Your First Event-Driven Application with Apache Kafka

5+ day, 21+ hour ago   (624+ words) Most developers hit a wall with Apache Kafka not because the technology is hard, but because they're trying to understand it using the wrong mental model. If you've spent your career writing REST APIs, your instinct is to think in…...