You’re probably heard of the “SMACK Stack”, but you may not know that three Lightbend experts–Sean Glover, Stavros Kontopoulos, and Gerard Maas–that recently teamed up with O’Reilly Media on a free eBook about working with the SMACK stack for Fast Data applications (available in PDF, EPUB, and MOBI formats–or all 3 in a .zip folder)!

Machine Learning is one of the hottest topics in software engineering today. While it can deliver major competitive advantages, it’s also very challenging: creating the models is just the first step... 

In this webinar by Dr. Dean Wampler, VP of Fast Data Architecture at Lightbend, Inc., we cut through the buzz around Fast Data and explore how to successfully exploit this new opportunity for innovation in how your organization leverages data.

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.

Welcome to the Lightbend newsletter update for August 2018! Take a look at the video above to get the low-down in just 1 minute, and for those of you who don't receive our regular monthly newsletter, below you can find what we covered in our latest issue...

The Fast Data team at Lightbend is happy to announce the release of Fast Data Platform version 1.2, adding Kubernetes support plus new features.

Lightbend and IBM Cognitive Class introduce the first of six free online courses on Reactive Architecture.

In our latest survey, Need For Speed: Fast Data Development Trends, over 2400 developers share their use of batch or streaming for data processing workloads...

Scala Days Europe and North America are over. After many weeks of raising excitement and anticipation, we can finally look back on two successful events in both Berlin and New York.

In The Need For Speed survey, we asked over 2400 developers what’s hard about Fast Data through the lens of the complete project lifecycle: Design, Build, and Run.

In this webinar by Sean Glover (@seg1o), Lightbend Senior Engineer for Fast Data Platform, we go through some best practices that we've learned working with Kafka, DC/OS, and Kubernetes with Lightbend clients.

As the General Data Protection Regulation (GDPR) is effective from May 2018, many considerations regarding data obtaining, storage, and most notably allowing for data to be deleted at the request of users are introduced into systems we build.

Join Hugh McKee, Akka expert and Developer Advocate at Lightbend, on an illustrated journey that goes deep into how Akka works–from individual Akka actors to fully distributed clusters across multiple datacenters.

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.

This technical white paper by Hugh McKee (@mckeeh3) and Oliver White (@theotown) of Lightbend will take you on an illustrated journey that goes deep into how Akka works

James Roper, a member of Lightbend's Office of the CTO, shares his thoughts on becoming a committer to Eclipse MicroProfile, and why his experience is a good sign for Jakarta EE.

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".