News, guides, and engineering deep dives.
Practical guidance on Kafka, Flink, Iceberg, and real-time data.
How Uber uses Apache Kafka in production
A deep-dive into Uber's Kafka architecture - covering use cases, scale, engineering decisions, and key contributors. From one region to trillions of messages a day.
How Walmart uses Apache Kafka in production
A deep-dive into Walmart's Kafka architecture, covering real-time inventory, fraud detection, the Customer Data Platform, and the Messaging Proxy Service handling trillions of messages per day.
Accelerating incident response with AI queries
Fix streaming data failures faster. Learn how Kpow uses advanced kJQ filtering, BYO AI, and Streaming Search to slash incident response times.
Defense in depth: unifying RBAC and data policies
Balance Kafka velocity and compliance. Learn how Kpow uses RBAC and Data Policies for safe, self-service production debugging without manual tickets.
Foundational Kafka data inspection in Kpow
Stop fighting complex Kafka serialization. Learn how Kpow uses Auto SerDes, kJQ, and transparent queries to streamline data inspection.
Kafka data management with Kpow
Enterprise Kafka adoption brings scale, but working with streaming data creates operational friction. This article shows how Kpow addresses four friction points to unlock engineering productivity.
Triage, repair, and replay: Kafka remediation
Fix broken Kafka data pipelines fast. Learn how Kpow replaces messy CLI scripts with an intuitive UI to isolate, repair, and re-inject data.
Announcing Kpow Community Edition 🚀
The announcement post for Kpow Community Edition, our free toolkit for Apache Kafka clusters, schema registries, and connect installations. Current terms and downloads are on the product page.
Enhanced URP detection in Kpow
Kpow now offers enhanced under-replicated partition detection for accurate Kafka health monitoring. The improved calculation identifies URPs even when brokers are offline, aiding fault tolerance.