In a recent survey, 75% of over 2400 developers revealed that they are already using (or planning to use) microservices to enable real-time streaming use cases, showing that a key characteristic of Fast Data architectures is the use of microservices for streaming functionality...

In this intermediate level presentation for Architects, Data Scientists, Developers with O’Reilly author and Lightbend Principal Architect, Boris Lublinsky, we will define an alternative approach to model serving, based on treating the model itself as data.

Learn from the expert engineers at Lightbend on how to choose an application to rewrite using a Reactive approach.

In this webinar with Mike Kelland, VP of Global Services at Lightbend, we will share some details of our specialized enablement strategy that allows teams of all sizes to successfully adopt Fast Data technologies and techniques.

Make sure to register with our 15% discount before November 1st to see Martin Odersky, Seth Tissue, Sean Glover and many many more.

From real-time data streaming expert and VP of Fast Data Engineering at Lightbend, Dean Wampler, Ph.D., comes the 2nd Edition of his popular O'Reilly eBook Fast Data Architectures for Streaming Applications.

Two technologies–Akka Streams and Kafka Streams–have emerged as popular tools to use with Apache Kafka for addressing the shared requirements of availability, scalability, and resilience for both streaming microservices and Fast Data. So which one should you use for specific use cases?

It's this time of the year again. Top microservices and fast data experts in the world are getting together for a unique learning experience. We handpicked some sessions and workshops for you that we think are particularly interesting if you want to learn more about Microservices and Reactive.

Lightbend CTO and co-founder Jonas Bonér joins the Programming Throwdown podcast to discuss the finer points of Akka, Actors, and Reactive.

In this special guest webinar with Mirco Dotta, co-founder of Triplequote LLC (the creators of Hydra), we take a deeper look into what affects Scala compilation speed, why a combination of language features, external libraries, and type annotations make compilation times generally unpredictable, and what you can do to speed it up by orders of magnitude. 

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 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.