Data engineers at Adidas, Mercadona, and Square use Kpow to trace consumer lag, enforce access controls, and inspect live message data across Confluent, MSK, and self-hosted clusters.
Kpow connects to any Apache Kafka compatible platform, including MSK, Confluent, Redpanda, Aiven, Instaclustr, and self-hosted clusters.
When consumer lag starts climbing across your inventory or pricing pipelines, Kpow lets you correlate broker health, partition distribution, and consumer group state in one view.
Browse live topic data with schema awareness and field-level masking to debug production issues without exposing sensitive customer information.
Fifteen squads across merchandising, supply chain, payments, and marketing, all touching the same clusters. Kpow logs every administrative action with user attributes and timestamps.
One view for capacity planning, cost attribution, and cross-cluster incident detection across every environment your team operates.
A major European retailer operating 1,000+ stores struggled with Kafka management: limited message inspection, no multi-cluster visibility, and inadequate data quality debugging.