In this webinar by Sean Glover (@seg1o), Lightbend Senior Engineer for Fast Data Platform, we go through some best practices that we've learned working with Kafka, DC/OS, and Kubernetes with Lightbend clients.

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.

Lightbend is in the business of delivering frameworks and tools that drive the Reactive (www.reactivemanifesto.org) mantra forward, and when it came time to define a layer of service deployment that drives high resource utilization, enterprise security features and a vibrant ecosystem of like-minded technologies, we selected DC/OS, both as the primary deployment framework for our new Fast Data Platform and the Lightbend Production Suite.

Right on the coattails of today's public announcement by Lightbend and Mesosphere, this special co-webinar with Aaron Williams and Markus Eisele discusses traditional architectures and how they are beginning to evolve very quickly to embrace microservices architecture and various cloud and hybrid-cloud deployment models.

As regular blog followers will know, Lightbend has been working with Mesos for a few years now, driven by adoption by a number of our web-scale customers, such as AirBnB.  Over the last year, we’ve been working closely with Mesosphere in order to make important technologies such as Spark work well with Mesos and, by extension, DC/OS.