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Message-level inspection
Field-level data masking keeps inspection PII-safe, so engineers can troubleshoot without exposing customer account numbers or transaction IDs.
Master Kafka at transaction scale
Data engineers at Worldpay, Block, and TD Bank use Kpow to inspect messages, enforce access controls, and prove DORA compliance across Confluent, MSK, and self-hosted clusters.
Introducing Kpow
One UI and API for any flavour of Kafka
Kpow connects to any Apache Kafka compatible platform, including MSK, Confluent, Redpanda, Aiven, Instaclustr, and self-hosted clusters.
Least-privilege access
Enforce fine-grained access controls across trading desks, clusters, and production environments without slowing teams down.
Audit logs built for regulators
Every action is logged with user attributes and timestamps, satisfying DORA Article 28 requirements out of the box.
Benefits
Built for financial institutions that can't afford downtime
Most Kafka tools provide either developer productivity or governance controls. Kpow delivers both.
Compliance without paperwork overhead
Meet DORA, GDPR, and SOC 2 requirements with built-in audit trails. Every action, from resource management to data inspection, is logged with user attributes and timestamps.
Inspect messages without exposing PII
Field-level data masking lets engineers troubleshoot production issues without viewing customer account numbers or transaction IDs.
Self-service that doesn't create chaos
Give developers access to Kafka without full system control. Combine declarative YAML configuration with SAML and OAuth 2.0 integration, so permissions scale securely.
Performance at scale
NORD/LB processes 500M+ messages daily through Kpow. No lag, no timeouts, and troubleshooting that used to take hours now takes minutes.
Customer spotlight
How German bank NORD/LB cut debugging time by 50%
NORD/LB's data platform team managed 200+ Kafka topics across on-premises and cloud environments. When message flows broke, engineers spent hours jumping between Grafana, Confluent Control Center, and custom scripts.
Challenge
200+ Kafka topics spread across on-premises and cloud environments, with no single place to see what was breaking or why.
Solution
Kpow unified the observability stack with cross-cluster topic inspection, message timeline views that trace data lineage, and configurable alerts for schema drift and throughput anomalies.
Results
Debugging time dropped from 4 hours to under 2, incidents from bad Kafka schemas fell, and compliance risks were resolved with advanced access controls.
“Thanks to Kpow, we halved the time needed for debugging. When it's bad data, we're very effective at figuring out why it's bad.”
Erik Schumann
Central Kafka Team, NORD/LB
Resources
Learn from teams running Kafka at scale
See how banks and payment processors architect Kafka for compliance, security, and performance without sacrificing developer velocity.
How NORD/LB transformed Kafka operations and cut debugging time in half
A German financial institution overcomes critical compliance gaps and operational inefficiencies to build a scalable, enterprise-grade streaming data platform.
Read case study
Customer obsession driving innovation with Kafka at Pickles
Innovation and evolution are central to the Pickles delivery model. Find out how Kafka and Kpow help the Pickles team deliver.
Read case study
Kpow delivers big gains for fintech giant Pepperstone
Melbourne-based fintech trading company Pepperstone has grown from startup to one of the largest Forex and CFD brokers globally.
Read case studyLaunch Kpow in your environment in under 10 minutes
Connect to any Kafka cluster in minutes. Deploy via Docker, Helm, or JAR. Full access for 30 days.