Debugging time cut in half
Real-time cluster visibility and message-level search replace hours of CLI investigation with minutes.
Problem
Your Kafka environment has grown, the way you operate it hasn't.
Even when the cluster is healthy and the pods are green, your team is often 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
- Writing throwaway consumer scripts just to inspect what's in a topic
- Stitching together dashboards, logs, and manual exports to answer basic questions
- Trying to maintain consistent governance across teams without confidence that it's working
Solution
A single UI for Apache Kafka in production.
Observe
See the state of your Kafka environment immediately, without running a series of CLI commands.
- Real-time cluster health, broker sync state, and under-replicated partition detection
- Consumer lag broken down by group, topic, partition, host, and broker simultaneously
- 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
Inspect
Find any message across one or many topics without writing a consumer script.
- kJQ filtering across single or multiple topics simultaneously, scanning tens of thousands of messages in seconds
- Schema-aware deserialisation for Avro, Protobuf, and JSON Schema, presenting structured readable data
- Bring your own AI model: describe what you're looking for in plain English, and 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 routing every change through one person.
- Topic lifecycle management including create, configure, copy, and delete without CLI access
- Consumer group and offset management including reset, skip, and advance with audit trail
- Connector, Schema Registry, and ksqlDB management from a single interface
- 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
- Data masking policies for PII including credit card numbers, account identifiers, and health data
- 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
Outcomes
The operational impact of a Kafka UI tool
Up to 90% faster event investigation
kJQ filtering and multi-topic search get engineers from question to answer without writing consumer scripts.
Fewer production incidents from bad data
Schema validation catches malformed messages before they reach your topics or crash your consumers.
Scaling to thousands of engineers
Self-service workflows mean platform teams stop being the bottleneck for routine Kafka operations.
Deployment
A Kafka GUI tool compatible with every distribution your team operates.
Most teams operate more than one Kafka distribution across multiple environments. Kpow works across all of them from a single interface, without requiring changes to your existing setup.
Stateless by design
Kpow has no external database, no proxy layer, and no additional infrastructure to maintain. It connects directly to your Kafka cluster and runs as a single container via Docker, Kubernetes, or JAR.
Deploys in minutes
One container and one configuration file are enough to have Kpow running in your environment within minutes. Because it's stateless, there's nothing to migrate when you upgrade or move clusters.
Air-gap capable
Kpow runs fully offline, with no data leaving your environment. For teams with strict network security requirements or regulatory constraints, it works the same way inside an air-gapped network as it does anywhere else.
Per-cluster pricing
Kpow is priced per cluster rather than per user or per seat. You pay for the clusters you connect, so your costs stay flat as your engineering team grows.
Customers
Results from teams using Kpow in production
Kpow is in production across teams of all sizes, from engineering teams running a single cluster to enterprises managing hundreds of clusters and hundreds of thousands of partitions.
“The number of incidents related to poor Kafka schemas has decreased. Kpow always fetches and serialises the schema correctly, so bad data would previously make it into topics gets caught earlier.”
Erik Schumann
Product Owner Data Quality Platform, NORD/LB
“We went into Kpow and could see the brokers were out of sync, one of four wasn't running. Kubernetes said every pod was fine. Prometheus showed no alerts. We could not get that from Rancher Kubernetes at all.”
Dave Gale
Manager Middleware, Claritev
“Features such as reassignment, offset resets, topic operations, and consumer state monitoring are all available through the UI, which enables even non-Kafka engineers to perform operational tasks easily.”
Yubin Kim
Engineer, Gmarket
See what Kpow does for your team
Start with the free version and have Kpow running in your environment in minutes via Docker, Kubernetes, or JAR. If you're evaluating Kpow at scale, get in touch and we'll walk through how it fits your environment.