WEBINAR REPLAY 

Streaming Microservices with Akka Streams and Kafka Streams

With Dean Wampler, Ph.D., VP of Fast Data Engineering at Lightbend, Inc.

About This Webinar

Kafka Streams is purpose built for reading data from Kafka topics, processing it, and writing the results to new topics. With powerful stream and table abstractions, and an exactly once capability, it supports a variety of common scenarios. Akka Streams emerged as a dataflow-centric abstraction for the Akka Actor model, designed for general-purpose microservices and very low-latency event processing. It supports a wider class of application problems and third-party integrations, so it’s less Kafka-centric.

In this webinar, Dean will:

  • Discuss the strengths and weaknesses of Kafka Streams and Akka Streams for particular design needs in data-centric microservices
  • Contrast them with Spark Streaming and Flink, which provide richer analytics over potentially huge data sets
  • Help you map these streaming engines to your specific use cases, so you confidently pick the right ones for your jobs


WEBINAR REPLAY 

Streaming Microservices with Akka Streams and Kafka Streams

With Dean Wampler, Ph.D., VP of Fast Data Engineering at Lightbend, Inc. and Matt Aslett, Research Director for the Data Platforms and Analytics Channel at 451 Research.

About This Webinar

Kafka Streams is purpose built for reading data from Kafka topics, processing it, and writing the results to new topics. With powerful stream and table abstractions, and an exactly once capability, it supports a variety of common scenarios. Akka Streams emerged as a dataflow-centric abstraction for the Akka Actor model, designed for general-purpose microservices and very low-latency event processing. It supports a wider class of application problems and third-party integrations, so it’s less Kafka-centric.

In this webinar, Dean will:

  • Discuss the strengths and weaknesses of Kafka Streams and Akka Streams for particular design needs in data-centric microservices
  • Contrast them with Spark Streaming and Flink, which provide richer analytics over potentially huge data sets
  • Help you map these streaming engines to your specific use cases, so you confidently pick the right ones for your jobs


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About Presenter

Dean Wampler, Ph.D., VP of Fast Data Engineering at Lightbend, Inc.

Dean Wampler is the Vice President of Fast Data Engineering at Lightbend, where he leads the creation of the Lightbend Fast Data Platform, a streaming data platform built on the Lightbend Reactive Platform, Kafka, Spark, Flink, and Mesosphere DC/OS. Dean is the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly. He is a contributor to several open source projects and he is the co-organizer of several conferences around the world and several user groups in Chicago.

About Presenters

Dean Wampler, Ph.D., VP of Fast Data Engineering at Lightbend, Inc.

Dean Wampler is the Vice President of Fast Data Engineering at Lightbend, where he leads the creation of the Lightbend Fast Data Platform, a streaming data platform built on the Lightbend Reactive Platform, Kafka, Spark, Flink, and Mesosphere DC/OS. Dean is the author of Programming Scala and Functional Programming for Java Developers and the coauthor of Programming Hive, all from O’Reilly. He is a contributor to several open source projects and he is the co-organizer of several conferences around the world and several user groups in Chicago.

Matt Aslett, Research Director for the Data Platforms and Analytics Channel at 451 Research.

Matt Aslett is a Research Director for the Data Platforms and Analytics Channel at 451 Research. Matt has overall responsibility for the data platforms and analytics research coverage, which includes operational and analytic databases, Hadoop, grid/cache, stream processing, search-based data platforms, data integration, data quality, data management, analytics, machine learning and advanced analytics. Matt's own primary area of focus includes data management, reporting and analytics, and exploring how the various data platforms and analytics technology sectors are converging in the form of next-generation data platforms.

About Lightbend

Lightbend (Twitter: @Lightbend) provides the leading Reactive application development platform for building distributed systems. Based on a message-driven runtime, these distributed systems, which include microservices and streaming fast data applications, can effortlessly scale on multi-core and cloud architectures. Many of the most admired brands around the globe are transforming their businesses with our platform, engaging billions of users every day through software that is changing the world. For more information on Lightbend, visit: lightbend.com