Special Offer: Get 50% off your first 2 months when you do one of the following
Personalized offer codes will be given in each session
WEBINAR ENDED
· 45 minutes

Accelerate Apache Kafka adoption via DataOps

Thursday, October 24, 2019 · 10:00 a.m. · Pacific Time (US & Canada)
About This Webinar

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

And much more!!

Agenda
  • 5 minute overview
  • Demo
  • Q&A
Who can view: Everyone
Webinar Price: Free
Featured Presenters
Webinar hosting presenter Guillaume Ayme
Customer Success
With a long career working in analytics and in operations, Guillaume helps ensure customers are successful at Lenses.io
Webinar hosting presenter
SRE
Marios does everything: automates, builds, releases, finds bugs, breaks things and most importantly helps clients succeed
Hosted By
lenses.io webinar platform hosts Accelerate Apache Kafka adoption via DataOps
Guillaume Ayme's webinars
Attended (2)
Recommended