Data today is online, in motion, and generated constantly. For architects, developers and their businesses, this means that there is a critical need for tools and applications that can process this data in real-time, generating actionable insights that can drive business value. How? By moving away from batch-centric processing to streaming, Fast Data pipelines that are fully Reactive.
In this webinar with Craig Pottinger, Senior Consultant at Lightbend, we examine the design choices around building streaming systems with technologies like Akka Streams, Apache Kafka, Apache Spark, Apache Flink, Mesosphere DC/OS and Lightbend Reactive Platform, all of which come integrated with Lightbend Fast Data Platform.
Craig will discuss how Fast Data Platform brings together a curated set of technologies—including streaming engines, a data backplane, reactive microservices, persistence, Machine Learning, purpose-built monitoring and more—plus on-demand guidance from experts to help you design, and then help your developers build, streaming fast data applications that are successful in the long-run.
If you are a developer or architect looking to learn more, consider our Fast Data Platform Technical Overview or Fast Data Architectures for Streaming Applications, by Dean Wampler (VP of Fast Data Engineering at Lightbend). If you are a team lead or manager, review our Reactive Launch engagement and read some of our streaming and Fast Data success stories from enterprises like Credit Karma, Weight Watchers, Zalando, Swisscom and Intel:
If you feel like the time is right, contact a Lightbend representative to schedule a 20-min introductory chat with you and your team here:
