News, guides, and engineering deep dives.
Practical guidance on Kafka, Flink, Iceberg, and real-time data.
Kafka consumer lag: how to find the cause and monitor it
Learn what Kafka consumer lag is, why it occurs, and how to monitor it using built-in tools, custom solutions, and Kafka monitoring platforms.
Integrate Kpow with WarpStream
Integrate Kpow with WarpStream in minutes. Gain unified visibility and control over your BYOC Kafka data plane and Schema Registry in the Kpow UI.
Introduction to Factor House Local
Factor House Local offers pre-configured Docker environments for Kafka, Flink, Spark, and Iceberg with Kpow and Flex, plus hands-on labs for building a Kafka client through to a full data lakehouse.
KIP-1150: diskless topics in Kafka explained
Discover how Kafka's KIP-1150 Diskless Topics aim to bring cloud-native scalability and cost-efficiency by natively utilizing object storage, and what it means for your streaming architecture.
KIP-932 queues for Kafka explained
Discover how Kafka's KIP-932 Share Groups bring native queue semantics to your event streaming architecture, and the new complexities engineers must manage.
RBAC for Kafka: implementation and considerations
Learn how to implement Kafka RBAC with practical steps, real-world configuration insights from a hands-on lab, and a clear comparison of RBAC vs ACLs at scale
Beyond JMX: supercharging Grafana dashboards
Move beyond raw JMX noise. Learn how to feed high-fidelity, pre-calculated Kafka metrics from Kpow into Grafana for proactive capacity planning and incident response.
Kafka observability with Kpow
Operating Apache Kafka at scale often leads to reactive maintenance. This article covers three gaps in context, data quality, and governance, and a strategy for operational excellence with Kpow.
Kafka audit trail with Kpow: who changed what, streamed to Slack
Apache Kafka keeps no built-in record of who made an admin change. How Kpow's audit log records user actions and streams them to Slack with a webhook.