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, Jonas Bonér and Viktor Klang describe how the newest OSS technology from Lightbend tackles distributed state management.

sbt 1.3.0 is available with exciting changes, including out-of-box Coursier library management, IO improvements, super shell, and "turbo" mode that enables experimental ClassLoader layering.

This articles covers messaging within an Akka distributed actor systems, the concepts covered here also apply to messaging within microservice systems.

This article is the second in a series of three articles that dives into some of the interesting aspects of messaging within distributed systems environments.

This article is the last in our "How Akka Works" series that dives into some of the interesting aspects of messaging within distributed systems environments.

In this Lightbend podcast, we discuss the IT sector in Kenya, and  how venture capital, industrial trends, Artificial Intelligence, and culture play a role there with Kitawa Wemo, founder of Mama Ventures, a women-led growth accelerator based in Nairobi.

In a survey of over 800 software professionals, we asked in which use cases real-time stream processing was most used, discovering that streaming is being embraced heavily for both traditional functionalities like ETL and monitoring, as well as new ones like ML/AI...

In this blog post we will look at different implementations of model serving as a service and show how to use one of the most popular models servers, TensorFlow Serving.

In this webinar by Hugh McKee, Developer Advocate at Lightbend, we take a look at how Akka and Kubernetes enjoy a symbiotic relationship, using live “crop circle” visuals to help.

Join Dr. Martin Odersky, the creator of Scala and co-founder of Lightbend, on a tour of what is in store and highlight some of his favorite features of Dotty, which will become Scala 3.

In this series on Machine Learning with Akka Streams, Kafka Streams, Apache Flink, and Apache Spark, author Boris Lublinsky shares how dynamically controlled streams can be a very powerful pattern for implementing streaming applications.

In this post, author Boris Lublinsky demonstrates with code how dynamically controlled streams can be implemented leveraging Akka Streams, and the main properties of such implementation.

In this post, author Boris Lublinsky demonstrates with code how dynamically controlled streams can be implemented leveraging Kafka Streams, and the main properties of such implementation.

In this post, author Boris Lublinsky demonstrates with code how dynamically controlled streams can be implemented leveraging Apache Flink, and the main properties of such implementation.

In this post, author Boris Lublinsky demonstrates with code how dynamically controlled streams can be implemented leveraging Apache Spark, specifically Spark Structured Streaming, and the main properties of such implementation.

Lightbend recently teamed with Groupon to tell the story of their adoption of Akka and Play Framework to solve issues of throughput, scalability, and resilience against downtime in their most critical systems.

Lightbend, EPFL, and the Scala Center recently released Scala 2.13. As this release paves the way for Scala 3 later in 2020, the Scala team at Lightbend took the opportunity to answer a few questions...

In a survey of over 800 software professionals, we asked in which use cases real-time stream processing was most used—and revealed an astonishing 500% increase in Machine Learning and Artificial Intelligence use cases in the last 2 years.

This post discusses stateful processing considerations when deciding whether your use case should be stateless or stateful when implementing stream processing.