Every 10 years or so, the tech industry starts revving its engine for the “next big thing.” There’s the initial debate on technical definitions, a volatile period where first movers define best practices, and then a lot of noise from the vendors trying to sell shovels to the gold rush—and then eventually the dust settles and the new form factor becomes reality.

In this talk by Dean Wampler, PhD., VP of Fast Data Engineering at Lightbend, we’ll look at the criteria you need to consider when selecting technologies, plus the context and background to make good decisions when it comes to adopting streaming frameworks.

Introducing Lightbend Reactive Architecture - Professional, a crash course in thinking differently, guided by experienced Lightbend expert who provides codified lessons learned, best practices, reference architectures, design patterns and analysis techniques when working with Reactive architectures.

In this webinar by Emre Velipasaoglu, Principal Data Scientist at Lightbend, we review why machine learned models built on data observed within a fixed time period usually suffer loss of prediction quality due to what is known as "concept drift".

As our relationship with IBM continues to produce fantastic tools for the Java and Scala developer community, we're happy to share our latest offering: IBM’s Reactive Platform Development Accelerator.

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.

Lightbend is happy to announce the release of version 1.1 of Fast Data Platform. Lightbend Fast Data Platform makes it easy for customers to develop, integrate, and operate a system comprising microservices and streaming data pipelines.

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.

In this Lightbend podcast, we sit down with Marina Sigaeva (@BesseIFunction), a physicist, Scala engineer, and speaker of growing renown in the Scala community, and Dale Wijnand (@dwijnand), an sbt expert on Lightbend’s Tooling Team.

In this webinar, Dr. Dean Wampler, VP of Fast Data Engineering at Lightbend, discusses the strengths and weaknesses of Kafka Streams and Akka Streams for particular design needs in data-centric microservices.

In this fireside chat style presentation, Dean Wampler of Lightbend and Matt Aslett of 451 Research will discuss the business justification for transitioning from batch-oriented big data to stream-oriented fast data, and how some of these requirements can be met by leveraging what organizations already know about microservice architectures.

In this Lightbend podcast, we sit down with Renato Cavalcanti (@renatocaval), Senior Engineer on the Lagom team and founder of the Belgium Scala User Group, who tells us about the latest release of Lagom 1.4, some history of Lagom since the 1.0 launch, as well as some ideas the team is working on for future releases.

From all of us at Lightbend, we're happy to introduce new functionality that lets you bring your Akka applications into a truly global environment. Meet two new Akka modules: Akka Multi-DC Clustering (open source) and Akka Multi-DC Persistence (part of our commercial Enterprise Suite).

In this webinar, we are joined by O’Reilly author and Lightbend Principal Architect, Boris Lublinsky, as he discusses one of the hottest topics in software engineering today: serving machine learning models.

In this Lightbend Fast Data Platform interview for Operations teams, Michael Nash and Oliver White of Lightbend discuss the value of resilient production tooling, and the benefits of one-stop shop support for various technologies integrated with Fast Data Platform.

In this Lightbend Fast Data Platform interview for Operations teams, Alan Ngai and Oliver White of Lightbend discuss the implications of monitoring and troubleshooting distributed, streaming Fast Data applications.

In this Lightbend Fast Data Platform interview for software developers, Sean Walsh and Oliver White of Lightbend discuss developer tooling for deploying and tuning high-performance Fast Data applications.

In this Lightbend Fast Data Platform interview for software developers, Kikia Carter and Oliver White of Lightbend discuss the challenges that development teams are experiencing in this new era of Fast Data applications.

In this Lightbend Fast Data Platform interview for software architects, Duncan DeVore and Oliver White of Lightbend discuss why it’s important to design a Fast Data system architecture based around resilience, scalability, and how this affects future deployment strategies.

In this Lightbend Fast Data Platform interview for software architects, Dean Wampler, PhD., and Oliver White of Lightbend discuss what's going on in the rapidly evolving world of streaming engines.