Accelerate Apache Kafka adoption via DataOps

Delivering a streaming data platform successfully requires more than just Kafka infrastructure.

Many have learned the hard way: beyond a single use case, teams encounter constant challenges with visibility, security, governance and of course not having the right level of skillsets. Going to production takes months if not sometimes years.

You’ll spend more time developing in house tools and scripts to overcome these challenges than focus on what’s important: the data.

Fortunately, Lenses.io provides a DataOps layer over your Apache Kafka. In this webinar, learn how to Lenses takes away the friction to delivering streaming applications and allows you to focus on what’s important.

In this webinar learn:

+ how you can deliver a secure UI for all Kafka administration
+ how to explore data in your streams
+ how to use SQL to inspect data in your streams
+ how to deploy Kafka Connect connectors via a UI
+ how to build & deploy streaming applications with SQL via Kubernetes
+ how to secure Kafka and streams with namespaces & integrate role-based security
+ how to apply masking of data with data policies
+ how to manage your entire data landscape via GitOps