Mastodawn

Igor De Souza 14h ago

Say Goodbye to ZooKeeper

#apachekafka

https://aiven.io/blog/say-goodbye-to-zookeeper

Say Goodbye to ZooKeeper

Automated, Zero-Downtime KRaft Migrations Now Available on Aiven

Aiven

Igor De Souza 1d ago

Spring for Apache Kafka 4.1.0-M2, 4.0.4, and 3.3.14 Available

#apachekafka

https://spring.io/blog/2026/03/17/spring-kafka-4

Spring for Apache Kafka 4.1.0-M2, 4.0.4, and 3.3.14 Available

Level up your Java code and explore what Spring can do for you.

Spring for Apache Kafka 4.1.0-M2, 4.0.4, and 3.3.14 Available

Igor De Souza 2d ago

Kafka Isn’t a Database, But We Gave It a Query Engine Anyway

#apachekafka

https://www.warpstream.com/blog/warpstream-events-built-in-observability-powered-by-kafka

Kafka Isn’t a Database, But We Gave It a Query Engine Anyway

With WarpStream Events, there is no more wrangling multiple tools. Get built-in observability without any additional infrastructure.

Igor De Souza 3d ago

Automate test and failure analysis via streams for Apache Kafka

#apachekafka

https://developers.redhat.com/articles/2026/03/19/automate-test-and-failure-analysis-streams-apache-kafka#

Automate test and failure analysis via streams for Apache Kafka | Red Hat Developer

Explore an automated, event-driven solution using streams for Apache Kafka, Debezium CDC, and Quarkus with SmallRye Reactive Messaging to sync failure analysis

Red Hat Developer

Igor De Souza 4d ago

IBM Completes Acquisition of Confluent, Making Real Time Data the Engine of Enterprise AI and Agents

#apachekafka

https://newsroom.ibm.com/2026-03-17-ibm-completes-acquisition-of-confluent,-making-real-time-data-the-engine-of-enterprise-ai-and-agents

IBM Completes Acquisition of Confluent, Making Real Time Data the Engine of Enterprise AI and Agents

IBM and Confluent deliver a smart data platform that gives every AI model, agent, and automated workflow the real-time, trusted data needed to operate across on-premises and hybrid cloud environments at scale.

IBM Newsroom

Igor De Souza 5d ago

How to Set Up a Kafka Cluster with KRaft Architecture (Step-by-Step)

#apachekafka

https://dataverses.io/resources/blog/setting-up-kafka-cluster-with-kraft

How to Set Up a Kafka Cluster with KRaft Architecture (Step-by-Step)

ZooKeeper is deprecated and on its way out. Learn how to spin up a 3-node Kafka KRaft cluster using Docker Compose — no Java installs, no systemd units, no external dependencies.

Dataverses

Igor De Souza 6d ago

Dead Letter Topic #01

#apachekafka

Interesting resources from the broader event streaming and real-time data ecosystem.

https://topicigor.substack.com/p/dead-letter-topic-01

Igor De Souza Mar 18

Kafka, Disk, Tiered Storage — and the Rise of Diskless Streaming

#apachekafka

https://medium.com/@abhaysoni.developer/kafka-disk-tiered-storage-and-the-rise-of-diskless-streaming-architectures-8fffcf9462bc

Kafka, Disk, Tiered Storage — and the Rise of Diskless Streaming Architectures

Understanding Kafka’s evolution beyond its original architecture

Medium

Igor De Souza Mar 17

Kafka vs Flink vs Spark Streaming: What Nobody Tells You Before You Pick One

#apachekafka
#apacheflink
#apachespark

https://alper-korukcu.medium.com/kafka-vs-flink-vs-spark-streaming-what-nobody-tells-you-before-you-pick-one-aa83c26a287a

Kafka vs Flink vs Spark Streaming: What Nobody Tells You Before You Pick One

You’re comparing three things that aren’t the same thing. That’s the first problem. Kafka is a messaging backbone. Flink is a stream…

Medium

Igor De Souza Mar 16

From Batch to Real‑Time: Mastering Event‑Driven Architectures with Apache Kafka

#apachekafka

https://martinuke0.github.io/posts/2026-03-12-from-batch-to-realtime-mastering-eventdriven-architectures-with-apache-kafka/

From Batch to Real‑Time: Mastering Event‑Driven Architectures with Apache Kafka

Introduction For decades, enterprises have relied on batch jobs to move, transform, and analyze data. Nightly ETL pipelines, scheduled reports, and periodic data warehouses have been the backbone of decision‑making. Yet the business landscape is changing: customers expect instant feedback, fraud detection must happen in milliseconds, and Internet‑of‑Things (IoT) devices generate a continuous flood of events. Enter event‑driven architecture (EDA)—a paradigm where systems react to streams of immutable events as they happen. At the heart of modern EDA is Apache Kafka, a distributed log that can ingest billions of events per day, guarantee ordering per partition, and provide durable storage for as long as you need.

martinuke0's Blog