September 11th 2019

Building Smarter Applications with Streaming Data Pipelines

Learn the common architectural patterns that form the foundation of successful streaming applications in this half-day roundtable hosted by Lightbend and Red Hat. In this session, you will learn:

  • Why streaming data is essential for digital transformation with a motivating example of AI/ML
  • How to overcome the hard parts of streaming architecture with microservices principles
  • How to choose the right tools: when to use Kafka, Akka, Flink, and Spark
  • Which cloud-native deployment options to consider for runtime reliability
  • Why new performance metrics matter for managing streaming data applications

The format of these sessions includes ample time for roundtable discussions and networking so you can learn how your peers are using Kafka, Akka, Spark, and Kubernetes to build smarter applications.


08:30 AM – 09:30 AM Registration and Networking
09:30 AM – 09:45 AM Welcome and Introductions
09:45 AM – 10:30 AM Application Architecture for Streaming Data and ML
10:30 AM – 11:15 AM Real-World Use Case 1: Streaming Data and ML at Scale
11:15 AM – 12:00 PM Real-World Use Case 2: Streaming Data and ML at Scale
12:00 PM – 12:30 PM Lunch and Roundtable Discussion
12:30 PM – 01:15 PM Cloud-Native Kubernetes Deployment Considerations
01:15 PM – 01:45 PM Roundtable Discussion
01:45 PM – 02:00 PM Wrap Up and Recommended Next Steps


103 W Paces Ferry Rd NW
Atlanta, GA 30305

There is no cost to participate. However, to create an environment for effective
collaboration and learning, seating is limited.

Locations And Dates