Cluster Failover in Action
Switch traffic to standby clusters in seconds, maintaining service availability without client-side reconfiguration.
- Automatic switchover
- Transparent client endpoint
- Operational confidence
KayraUI simplifies complex Kafka operations for platform, operations and data engineering teams, combining enterprise security, real multitenancy, observability, and disaster recovery automation in a modern experience.
An intuitive, powerful interface to manage your entire data streaming infrastructure



Outcome-driven capabilities that reduce risk, accelerate operations, and strengthen governance.
REST API to produce, consume, and administer Kafka over HTTP with built-in security and quotas.
Visual topic management with integrated schema registry and native stream processing.
Replication across Kafka clusters and environments with consistency and operational control.
Virtual Kafka endpoint for automatic or manual failover without changing client configurations.
Full observability with intelligent alerts and real-time dashboards.
Consumer group management with lag optimization and continuous rebalancing.
Production-ready enterprise connectors for real-time ingestion and CDC.
Materializes Kafka topics into queryable tables in object storage without custom pipelines.
Manual and automatic rebalancing based on load metrics for efficient partition distribution.
Rule-based routing engine to distribute Kafka messages across topics.
Real workflows, real outcomes. Explore how failover and replication behave in production-grade scenarios.
Switch traffic to standby clusters in seconds, maintaining service availability without client-side reconfiguration.
Keep clusters synchronized across regions and environments with controlled, observable replication flows.
Production-ready connectors to move data in and out of Apache Kafka — plug in minutes, stream at scale.
Stream every change from your IBM iSeries directly into Apache Kafka topics — no middleware, no custom code, no downtime. Kayra's CDC Connector reads the iSeries journal and delivers events with sub-second latency.
Real-time change data capture from IBM iSeries DB2 journals to Kafka topics.
Read XML files from the filesystem and publish parsed records to Kafka topics.
Read JSON files from the filesystem and stream events directly into Kafka topics.
All plans on request — tailored to your cluster volume and support model.
For growing teams
For critical operations
Your infrastructure, your rules
Strategic services to accelerate adoption, reduce risk, and build operational confidence.
Phased migration from open-source clusters with minimal operational risk.
Risk minimizationAssessment of clusters, consumers, and governance gaps with a pragmatic action plan.
Actionable reportActive-passive architecture, failover runbooks, and resilience testing.
Service continuityTechnical guidance to shorten time-to-value and turn POCs into stable operations.
Faster delivery"Kayra gave us operational clarity. In less than one quarter, we cut incident triage time by 41% and standardized governance across teams."
"The migration path was controlled and low-friction. We reduced change lead time by 35% while preserving performance baselines and audit requirements."
"During peak demand windows, we handled 2.3x higher event volume with no Sev-1 incidents and much better visibility for the operations team."
"Real-time observability changed our routine. We reduced firefighting effort by 38% and improved on-call confidence across the entire team."
Book a technical session to map your current architecture, target KPIs, and migration path.
The leadership team behind Kayra, focused on Kafka operations, resilience, and enterprise execution.

10+ years in banking software. High-performance data streaming with Java & Apache Kafka on AWS.

Network & communications expert with Cisco and Fortinet. Routing, web security, and operational excellence.

Distributed platforms for mission-critical workloads. Stream processing & platform reliability specialist.

Operations & HR leader. Drives team discipline, quality outcomes, and long-term organizational growth.