Simple, powerful and flexible event stream processing
for kubernetes.
Build mission-critical real-time applications and services in minutes, not weeks or months.
Maintain quality and consistency by enforcing standardized patterns and best practices. Streamline consistency for architecture design, deployments, logging, and observability.
Simplify development by eliminating boilerplate code and focus on writing business logic. Use pre-built components or your favorite Python libraries.
No separate processing cluster required. Input, output, and state data is stored in Kafka.
Compose event-driven systems using Apps and Agents that process infinite streams of events.
Simply define Kubernetes custom resources and write in Python when needed—no need for a domain-specific language or Java/Scala code.