News, guides, and engineering deep dives.
Practical guidance on Kafka, Flink, Iceberg, and real-time data.
Clone to topic for DLQs in Apache Kafka
Learn about Clone to Topic, the latest feature available in Kpow 96.2, enabling you to replay Dead Letter Queue (DLQ) records inside a governed UI.
Factor Platform, new Kpow features
Factor House release v96.1 brings significant new product features and performance enhancements to our Kafka and Flink tooling, and makes Factor Platform publicly available for early-access users.
How Apple uses Apache Kafka in production
A deep-dive into Apple's Kafka architecture, covering their managed internal platform, Strimzi on EKS, tiered storage, zero-data-movement balancing, and mTLS migration.
How Barclays uses Apache Kafka in production
A deep-dive into Barclays' Kafka architecture, covering dual-environment deployment on AWS and IBM Z-Linux, operating practices, and the broader streaming stack.
How Datadog uses Apache Kafka in production
A deep-dive into Datadog's Kafka architecture, covering use cases, scale, engineering decisions, and key contributors across hundreds of clusters.
How Netflix uses Apache Kafka in production
A deep-dive into Netflix's Kafka architecture, covering the Keystone pipeline, Data Mesh platform, scale figures from 700 billion to 2 trillion events per day, and the engineering decisions behind it.
How New Relic uses Apache Kafka in production
A deep-dive into New Relic's Kafka architecture, covering use cases, scale, engineering decisions and key contributors.
How Notion uses Apache Kafka in production
A deep-dive into Notion's Kafka architecture, covering use cases, scale, engineering decisions, and key contributors across their data lake and AI pipelines.
How PagerDuty uses Apache Kafka in production
A deep-dive into PagerDuty's Kafka architecture, covering event ingestion, notification scheduling, task execution, and the engineering decisions behind each.