With real-time streaming applications, there is no single technology to rule them all when it comes to implementing multi-component streaming data pipelines into your applications. In order to harness value from real-time data, development teams turn to various technologies–such as Akka Streams, Apache Spark, Apache Kafka, Apache Flink, Kubernetes, and others–depending on their requirements for data ingestion, processing, analysis, and serving.
Yet developers are often left on their own for integrating, deploying, and managing these pipelines as a whole. The good news is that Lightbend has a new solution that simplifies development and operations of multi-component streaming data pipelines. Meet Lightbend Pipelines:
In this webinar with Lightbend's Craig Blitz, Product Director, and Kiki Carter, Principal Enterprise Architect, we review how Lightbend’s Pipelines module enables you to develop components ("streamlets") using the appropriate technology, wire them together as pipelines, and deploy them with Kubernetes without all the manual, time-consuming labor. Specifically, you will learn about:
To skip directly to the demonstration of Lightbend Pipelines, go to 30:12 or click here!
Learn more about cloud-native system design, real-time streaming with Spark, Akka, Kafka and Kubernetes, and more with this technical resources from Lightbend experts:
Even better, you can read this short business brief about Lightbend Pipelines, and find links to see a short 2-min intro video as well as sign up for a demo of Lightbend Pipelines here >>>