Kpow is a single UI for Apache Kafka that lets your team search, inspect, manage, and govern every cluster, with no extra infrastructure to maintain, no vendor lock-in, and no command-line workarounds.
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, so you can see where lag is concentrated and why.
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.
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 rather than raw bytes.
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.
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.
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.
Real-time visibility and search replace hours of investigation with minutes.
Filtering and multi-topic search eliminate the need for custom consumer scripts.
Schema validation catches malformed messages before they reach downstream consumers.
Self-service workflows reduce platform team bottlenecks as headcount grows.
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.
No external database, proxy layer, or additional infrastructure needed.
Single container deployment with no migration required on upgrades.
Runs fully offline with no data leaving your environment.
Costs remain flat as your engineering team expands.
"The number of incidents related to poor Kafka schemas has decreased. Kpow always fetches and serialises the schema correctly, so bad data that would previously make it into topics gets caught earlier."
"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."
"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 and efficiently."
No time limit. No credit card required.
No per-seat fees.