In this guest webinar by Kevin Webber, we cover the entire architecture of a Reactive system, from a responsive UI implemented with Vue.js, to a fully event sourced collection of microservices implemented with Java, Lagom, Cassandra, and Kafka.

In this Lightbend podcast, we sit down with Wade Waldron, Microservices Practice Lead at Lightbend, to discuss a question that we hear frequently from Lightbend customers and the OSS community: should we use Play Framework, Lagom Framework, or Akka HTTP for our next application?

Two technologies–Akka Streams and Kafka Streams–have emerged as popular tools to use with Apache Kafka for addressing the shared requirements of availability, scalability, and resilience for both streaming microservices and Fast Data. So which one should you use for specific use cases?

In this webinar with Enno Runne, Tech Lead for Alpakka at Lightbend, Inc., we’ll look at why integrations should be viewed as streams of data, and how Alpakka—a Reactive Enterprise Integration library for Java and Scala based on Reactive Streams and Akka—fits perfectly for today’s demands on system integrations.

In this Lightbend Podcast, we sit down with our CEO, Mark Brewer, to discuss what joining the Eclipse Foundation as a founding member of the Jakarta EE Working Group means for bringing Reactive closer to the traditional Java enterprise landscape.

Reactive Streams expert and Lightbend Deputy CTO, Viktor Klang, provides a Reactive take on integration, where streaming is a first-class concept and Resilience and Responsiveness is achieved through flow control, back pressure, and feedback control.

This blog post brings together several resources into “get started kit” to learn what’s going on with streaming technologies like Akka Streams, Akka HTTP and Alpakka (all based on the Reactive Streams initiative) and connecting with your legacy integration points as a starting point.

Reactive Streams is an initiative to provide a standard for asynchronous stream processing with non-blocking back pressure. Today the 1.0.2 was released. Learn everything about this update from Viktor Klang.

In this Lightbend podcast, we sit down with special guest Jan Machacek, CTO of Cake Solutions, conference speaker, and author of the upcoming O’Reilly book, Reactive Systems Architecture: Designing And Implementing An Entire Distributed System.

With Akka Streams providing the "glue" between both microservices and the real-time analysis performed in the Fast Data space, we wanted to shine the spotlight on three industry leaders in their respective markets–PayPal, Credit Karma, and Flipkart–collectively worth well over $50 billion in market capitalization...

Last week, the Lightbend team volunteered at the SF Food Bank, and our VP of Engineering, Derek Henninger, was utterly surprised to find the experience to be an abject lesson in managing Reactive systems (in production!)

In this talk by noted hAkker Konrad Malawski, we'll disambiguate what streams are and what they aren't, taking a deeper look into Akka Streams (the implementation) and Reactive Streams (the standard).

Everyone wants to talk with Konrad Malawski on a 1:1 basis. I'm the lucky person who got 15 minutes of his time.

As we reviewed in our recent webinar with Roland Kuhn Reactive Streams 1.0.0 and Why You Should Care, the first version of the Reactive Streams specification is now live, and among other technologies from engineers at Netflix, Pivotal, Red Hat and Oracle, so are Typesafe's implementations of Akka Streams 1.0 and Slick 3.0. In this webinar, Typesafe engineer Endre Varga looks deeper into Reactive Streams and demonstrates Akka Streams 1.0, Akka HTTP 1.0 and Slick 3.0 for harnessing the power of streaming with back-pressure in your system.  

In our most popular webinar to date with over 1500 registrants, Akka Team Lead and author Roland Kuhn presents the freshly released final specification for Reactive Streams 1.0.0 for the JVM. This work was done in collaboration with engineers representing Netflix, Red Hat, Pivotal, Oracle, Typesafe and others to define a standard for passing streams of data between threads in an asynchronous and non-blocking fashion. This is a common need in Reactive systems, in which the volume of streaming "live" data to process is not predetermined.