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.

Back from Red Hat Summit, Hugh McKee shares why OpenShift is the perfect solution for what we do with Lightbend Platform to create cloud-native systems of microservices connected with real-time streaming applications.

Global 5000 enterprises that never before considered themselves as technology companies are now faced with digital business imperatives that force them to modernize their infrastructure.

To address all the shortcomings of traditional monolithic Java EE applications and the heavyweight middleware and infrastructure needed to run them, developers must shift their thinking.

To address the business challenges of modernization, many of the most admired brands around the globe come to Lightbend to transform their businesses with scalable, high-performance microservices frameworks and streaming engines for building data-centric systems that are optimized to run on cloud-native infrastructure.

Learn why understanding how cgroups work and how the JVM interprets them is critical to successfully deploying and running a JVM based application using Docker and Kubernetes.

In this talk by Jonas Bonér, Lightbend CTO/Co-Founder and creator of Akka, we will explore the nature of events, what it means to be event-driven, and how we can unleash the power of events and commands by applying an events first, domain-driven design to microservices-based architectures.

Introducing Kafka Lag Exporter, an OSS tool created by Lightbend's Sean Glover to make it easy to view consumer group metrics in Kafka using Kubernetes, Strimzi, Prometheus, Grafana, and other tools.

How, and why, do enterprises adopt streaming data applications in the cloud?

This is the first of six posts in our cloud-native series that focuses on streaming data applications and the requirements, architecture considerations, design patterns, and specific tools needed to do it right.

In our continuing series on Design Techniques For Building Stateful Cloud-Native Applications (see Part 1, Part 2. and Part 3), we now take a look at message delivery, including some basic review of RPC, REST, Actors and more...

See how Fortify SCA for Scala works differently from existing Static Code Analysis tools to help you uncover security issues early in the SDLC of your mission-critical applications...