The Context Gap caused by fragmented tools hinders effective Kafka monitoring and troubleshooting, as it forces engineers to manually piece together logs and metrics. This guide demonstrates how to close that gap using Kpow's unified workflow to identify the stall, inspect the data, and resolve the incident in a single interface.

Apache Kafka is the central nervous system of the modern enterprise, yet operating it at scale often leads to reactive maintenance cycles. Identifying three critical gaps in context, data quality, and governance, this article introduces a comprehensive strategy to transform reactive troubleshooting into proactive operational excellence with Kpow.

The unified Factor House Community License works with both Kpow Community Edition and Flex Community Edition, meaning one license will unlock both products. This makes it even simpler to explore modern data streaming tools, create proof-of-concepts, and evaluate our products.

This post explains an update in the version of protobuf libraries used by Kpow, and a possible compatibility impact this update may cause to user defined Custom Serdes.

Kpow now offers enhanced under-replicated partition (URP) detection for more accurate Kafka health monitoring. Our improved calculation correctly identifies URPs even when brokers are offline, providing a true, real-time view of your cluster's fault tolerance. This helps you proactively mitigate risks and ensure data durability.

We're excited to launch the new Factor House Docs, a unified hub for all our product documentation. Discover key improvements like a completely new task-based structure, interactive kJQ examples, and powerful search, all designed to help you find the information you need, faster than ever. Explore the new home for all things Kpow, Flex, Factor Platform and more.