Kafka is running your business.
Your tooling hasn't kept up.
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Your Kafka environment grew.
The way you operate it didn't.
The cluster is healthy. The pods are fine. But your team is still:
Chasing consumer lag with CLI commands that show a single moment in time
Routing every ACL change and access request through the one person who knows how
Stitching together dashboards, logs, and manual exports to answer basic questions
Writing throwaway consumer scripts
just to inspect what's in a topic
Hoping governance is consistent across teams — but not certain it is
Everything your team needs to operate Kafka — in one place.
Observe
Know what's happening in your Kafka environment the moment you open Kpow, not after running a series of commands.
Real-time cluster health, broker sync state, and under-replicated partition detection without touching the CLI.
Consumer lag broken down by group, topic, partition, host, and broker simultaneously, the dimension that turns a number into a diagnosis.
Kafka Streams topology with live metrics at every stage of your streaming applications.
Prometheus metrics export to feed your existing Grafana, Datadog, or alerting stack with Kafka-specific telemetry,
Inspect
Find any message in any topic in seconds, not hours.
kJQ filtering across single or multiple topics simultaneously, scanning tens of thousands of messages per second.
Schema-aware deserialisation for Avro, Protobuf, and JSON Schema, so your team sees structured readable data, not raw bytes.
BYO AI: describe what you're looking for in plain English, Kpow generates the kJQ filter automatically.
Streaming search to watch for matching messages in real time during a deployment or incident.
Manage
Give your team the ability to act on Kafka directly, without everything routing through one person.
Topic lifecycle management including create, configure, copy, and delete without CLI access or a ticket queue.
Consumer group and offset management including reset, skip, and advance with a full audit trail of every change.
Connector, Schema Registry, and ksqlDB management from a single interface across all your environments.
Staged approval workflows that require sign-off before sensitive operations execute.
Govern
Enterprise access control and compliance without adding infrastructure.
Role-based access control at global and resource level, with multi-tenancy isolation between teams.
Data masking policies for PII including credit card numbers, account identifiers, and health data enforced at the tooling layer.
SSO integration with Okta, Azure AD, KeyCloak, and any LDAP, SAML, or OAuth2 provider.
Complete audit log of every action across every cluster, available via UI, webhook, or internal Kafka topic.
The impact teams see with Kpow
Debugging timecut in half
Real-time cluster visibility and message-level search replace hours of CLI investigationwith minutes.
Up to 90% faster event investigation
kJQ filtering and multi-topic search get engineers from question to answer without writingconsumer scripts.
Fewer production incidents from bad data
Schema validation catches malformed messages before they reach your topics or crashyour consumers.
Scaling to thousandsof engineers
Self-service workflows mean platform teams stop being the bottleneck for routineKafka operations.
Works with every Kafka you run. Doesn't change how you run it.
Most teams don't run a single Kafka distribution in a single environment.Kpow works across all of them — from a single pane of glass, withoutrequiring you to change anything about your existing setup.
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No external database. No proxy layer. No additional infrastructure to maintain. Kpow connects directly to your Kafka cluster and runs as a single container — Docker, Kubernetes, or JAR.
One container. One configuration file. Kpow is running in your environment before the end ofa coffee break — and becauseit's stateless, there's nothing to migrate if you upgrade or move clusters.
Kpow runs fully offline. No data leaves your environment. For teams with strict network security requirements or regulatory constraints, it works exactly the same way inside an air-gapped network as it does anywhere else
Not per-user. Not per-seat.You pay for the clusters you connect, not the number of engineers who use Kpow.As your team grows, your Kpow costs don't.
What changes when teams actually use it
Used across Apache Kafka, Amazon MSK, Confluent, and Redpanda environments — from single-cluster startupsto enterprises running hundreds of clusters and hundreds of thousands of partitions
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See what Kpow does for your team
Start free and have Kpow running in your environment in minutes. Or talk to us if you're evaluating at scale — we'll show you exactly how it works with your setup.