Move beyond raw JMX noise and unlock business-relevant observability for your Kafka environment. This guide explores how to feed high-fidelity, pre-calculated metrics, such as consumer group lag in seconds, directly from Kpow into your Grafana dashboards for proactive capacity planning and incident response.
Move beyond raw JMX noise and unlock business-relevant observability for your Kafka environment. This guide explores how to feed high-fidelity, pre-calculated metrics, such as consumer group lag in seconds, directly from Kpow into your Grafana dashboards for proactive capacity planning and incident response.
IBM has completed its acquisition of Confluent. We examine what the deal means for teams running Kafka in production, where the real lock-in risks sit, and how to assess your exposure.
Factor House has officially landed in Europe. Read about our latest strategic hires and how we are empowering the next era of streaming data for enterprise engineering teams.
Implement Just-in-Time Kafka access by integrating Kpow with ServiceNow. Automate approvals and temporary policy management to enhance security and developer self-service.
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.
A German financial institution overcomes critical compliance gaps and operational inefficiencies to build a scalable, enterprise-grade streaming data platform.
We’re building more than products, we’re building a community. Whether you're getting started or pushing the limits of what's possible with Kafka and Flink, we invite you to connect, share, and learn with others.
