In 2021, an event-driven architecture doesn’t just save millions of dollars - it can save millions of lives:
1. How can engineers safely access health data streaming through Kafka, without entering a regulatory minefield?
2. How can a team quickly and confidently build stream processing applications without relying on one Kafka expert?
Biotech and remote monitoring require ingestion of real-time IoT data.
AI-driven digital doctors rely on a healthy microservice-based architecture.
Patient research, analytics and a single customer view.
Explore and debug events using SQL via a Kafka GUI or API. Lenses understands your data regardless of serialization: Avro, Protobuf, JSON, CSV and more.Watch how to navigate data with SQL
Build approval processes, audit trails, policies, data masking and RBAC around who can access what in Kafka to address regulations such as HIPAA.Architecting Kafka for GDPR
Filter, aggregate, transform and reshape data with streaming SQL, deploying over your existing Kubernetes.Learn streaming SQL
Build CDC flows with full data observability into Kafka.Change Data Capture with Kafka
Use role-based security authenticated with SSO and data access audit trails integrated into your SIEM.Life of PII for Apache Kafka
Lenses is deployed on top of your existing Kafka infrastructure - cloud, self-hosted or on-prem - as an independent component. It interacts with the entire data ecosystem without Kafka lock-in.Managed Kafka comparison guide
“We are a healthcare company, the integration with Okta, RBAC and audit features are key for us and allow us to open up the platform to wider teams”
Jeremy Frenay, Lead Data Operations EngineerWatch the full story