From Batch To Streaming For 20B Sensors Using Akka, Kafka, Scala, and Spark
Lessons Learned by HPE using Lightbend Platform
Imagine that you’re an industry leader in servers and storage, and one day you realize that your entire stack needs to evolve in order to provide value faster in the real-time world. How do you convert millions of globally distributed data center technologies from overnight batch processing to real-time streaming? Better yet, how do you add predictive analytics to your streaming solution so that problems can be detected before they affect your customers?
In this guest webinar with Chris McDermott, Lead Data Engineer at HPE, learn how HPE InfoSight–powered by Lightbend Platform–has emerged as the go-to solution for providing real-time metrics and predictive analytics across various network, server, storage, and data center technologies.
Join us to hear about:
- The Challenge: The journey from batch to streaming, the challenges, and lessons learned along the way.
- The Solution: How Lightbend Platform powers HPE’s streaming component architecture to enable real-time visibility, plus predictive analytics to prevent future problems before they happen.
- The Results: How HPE InfoSight has performed to date, the value it has provided to customers, the benefits realized by HPE from working with Lightbend. You can also read HPE's Customer Story for more details about InfoSight.