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.

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In this talk by Gerard Maas, O’Reilly author and Senior Software Engineer at Lightbend, we focus on choosing the right Fast Data stream processing features of Apache Spark, taking a practical, code-driven look at the two APIs available for this: the mature Spark Streaming and its younger sibling, Structured Streaming.

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.

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?

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.

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.

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...

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 Gerard Maas, senior engineer on Lightbend's Fast Data Platform team and co-author of the recent O’Reilly book Learning Spark Streaming, we walk through an introduction of both APIs. At the end of this presentation, you will have a bit more context for guiding your selection of the the right one for your application.

In conjunction with our partner O'Reilly, Lightbend is pleased to be able to offer you this expert guide to Machine Learning.

In this session by Konrad Malawski, author, speaker and Senior Akka Engineer at Lightbend, you will learn how to build these streaming ETL pipelines with Akka Streams, Alpakka and Apache Kafka, and why they matter to enterprises that are increasingly turning to streaming Fast Data applications.

As our partnership with O'Reilly grows, Lightbend is happy to present you with an exclusive preview edition of "Learning Spark Streaming", Chapters 1 and 2.

Back in May 2017, we launched our annual charity survey that looked into the rapidly evolving Fast Data, Streaming, and IoT ecosystem. We're thrilled that we received over 2400 responses—reaching our goal of $5000 donated to charity—as well as the opportunity to deeply examine the responses of thousands of developers regarding fast data adoption trends across three key areas—business value, use case, and technology.

This webinar by Emre Velipasaoglu, Principal Data Scientist at Lightbend, is for busy Architects and Managers looking to get a handle on what ML is really all about, the ideal use cases for ML and how getting it right can benefit your streaming and Fast Data application architectures. 

Watch this webinar with Dean Wampler, VP of Fast Data Engineering at Lightbend, Inc., to better equip you and your team with the context and background to make the right decision when it comes to adopting streaming frameworks.