Factor House

Apache Flink is a distributed stream processing framework for stateful computations. This hub indexes Factor House’s content on running it in production.

Factor Platform manages Kafka, Flink, and Iceberg from a single interface with unified permissions and audit logs, running in user environments without interfering with data processing.

Flex offers visibility, control, and security for Apache Flink, enabling confident, precise, and fast execution of streaming jobs.

Short, focused video demos of Kpow, Flex, Iglu, and Factor Platform: real features, walked through end to end, on real Kafka, Flink, and Iceberg workloads.

Kpow reduces incident response times using kJQ filtering, BYO AI, and Streaming Search.

How platform and data engineering teams use Kpow to run Apache Kafka in production.

A deep-dive into Airbnb's Kafka architecture, covering six production systems, 35+ billion daily events, SpinalTap CDC, Flink-based personalisation, and Kafka as a write-ahead log.

Guides, tutorials and engineering deep dives on running Apache Kafka and Apache Flink in production.

Factor House’s expansion into Germany provides Kafka and Flink control and monitoring for European teams.

Factor House’s Europe session features live demos of recent product capabilities and upcoming developments.

Compare pricing for Kpow, Flex, and Factor Platform. Every product starts free, with Enterprise plans for governance, scale, and support in production.

Chad Harris is Head of Product at Factor House. He has worked with Apache Kafka since 2012 and previously led engineering on PCI-compliant payments systems at Square (Block).

Derek Troy-West is Co-founder and CEO of Factor House, the company behind Kpow, Flex, and the Factor Platform for Apache Kafka and Flink.

Factor House builds tooling for real-time data: Kpow for Apache Kafka, Flex for Apache Flink, and Iglu for Apache Iceberg.

Gaurav Bhatt is a Solution Engineer at Sportsbet with close to two decades of experience in enterprise Java development and data engineering.

Factor House develops enterprise tools for engineers working with real-time streaming data.

Factor House provides documentation and support for its tools.

Manage Kafka and Flink clusters, search across topics in seconds, monitor consumer lag by partition, and enforce governance across every environment.

Factor House explains how it collects, uses, shares, and protects user information across its websites and products.

The End User License Agreement outlines the terms for using Factor House products.