News, guides, and engineering deep dives.
Practical guidance on Kafka, Flink, Iceberg, and real-time data.
Apache Kafka 3.2.0: Idempotent Producer Breaking Change
Apache Kafka KIP-679 changes the behaviour of default Producer configuration to enable idempotence by default. This change can cause message production to fail after updating to the 3.2.0 kafka-client libraries.
Operatr.IO has a new name: Meet Factor House
Meet Factor House, we build Kpow for Apache Kafka
Our Commitment to Engineers
With our funding announcement and the upcoming launch of the Factor Platform, we know some of our existing customers might be wondering: What does this mean for Kpow and Flex? Will we be forced to upgrade? Will prices spike? Keep one thing in mind - at Factor House we're here for engineers.
Melbourne Kafka x Flink July Meetup Recap: Real-time Data Hosted by Factor House & Confluent
From structuring data streams to spinning up full pipelines locally, our latest Kafka x Flink meetup in Melbourne was packed with hands-on demos and real-time insights. Catch the highlights and what's next.
Updates to container specifics (DockerHub and Helm Charts)
Discover how our 94.1 release has streamlined DockerHub, Helm Charts, and AWS Marketplace deployments!
Web Accessibility at Factor House
How do skateboards and green suns drive web accessibility at Factor House? Learn why building accessible products is important to us, and how we've changed to ensure that accessibility is embedded in our development process.
Set Up Kpow with NetApp Instaclustr Platform
Integrate Kpow with Instaclustr in minutes. Gain unified visibility and control over your managed Kafka brokers, Karapace Schema Registry, and Kafka Connect through our market-leading engineering toolkit.
Introducing Webhook Support in Kpow
This guide demonstrates how to enhance Kafka monitoring and data governance by integrating Kpow's audit logs with external systems. We provide a step-by-step walkthrough for configuring webhooks to send real-time user activity alerts from your Kafka environment directly into collaboration platforms like Slack and Microsoft Teams, streamlining your operational awareness and response.
From Batch to Real-Time: A Hands-On CDC Project with Debezium, Kafka, and theLook eCommerce Data
This project transforms the static "theLook" eCommerce dataset into a live data stream. It uses a Python generator to simulate user activity in PostgreSQL, while Debezium captures every database change and streams it to Kafka. This creates a hands-on environment for building and testing real-time CDC pipelines.