sbt 1.3.0-RC3 is available with exciting changes, including out-of-box Coursier library management, IO improvements, super shell, and "turbo" mode that enables experimental ClassLoader layering.

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.

If your legacy monolith is no longer serving the expanding needs of your business, then join Markus Eisele, Director of Developer Advocacy at Lightbend, to learn what you can do to migrate from Java EE to cloud-native, Reactive systems—as defined by the Reactive Manifesto.

The Play Team is proud to share our roadmap to the next version of Play and Lagom. As we did with the previous roadmap, we want to give you the power to improve it, add items you are interested in working on and help us to improve it with your ideas.

In this talk by Sean Glover, Principal Engineer at Lightbend, we will review how the Strimzi Kafka Operator, a supported technology in Lightbend Platform, makes many operational tasks in Kafka easy, such as the initial deployment and updates of a Kafka and ZooKeeper cluster.

This is the second of six posts in our cloud-native series that focuses on streaming data applications, exploring an alternative class of compute tools–libraries that provide streaming semantics–but which you embed in your microservices.

In this Lightbend Podcast, I sit down with Dean Wampler, VP of Fast Data Engineering, and Craig Blitz, Senior Product Director, of Lightbend. The topic: Lightbend Pipelines, our newest module to become part of Lightbend Platform.