In this webinar, Lightbend’s Senior Product Director, Craig Blitz reviews five early challenges enterprises face when building streaming and Fast Data systems, what to consider and how Lightbend aims to make these choices more straightforward with our upcoming Fast Data Platform.

It's not very often that you can make a big difference by doing very little...see how to convert 6 minutes into a meaningful donation to charity with latest survey!

This article takes a deeper look at how three traditional, brick-and-mortar style businesses–Norwegian Cruise Lines, Swisscom and UniCredit Group–crossed the chasm into Fast Data with technologies, support and services from Lightbend.

In this interview by O'Reilly Media, Lightbend's Duncan DeVore draws over 10 years of experience building Reactive systems to review the basics of what Fast Data is, how to address of design challenges for architects and developers, and discuss the importance of having a Reactive foundation for the next generation of streaming and Fast Data systems.

In this new white paper, we outline the functions a modern monitoring solution must perform in order to truly benefit from the advantages promised by Fast Data and streaming applications.

Companies are moving from systems designed for data "at rest" in data warehouses and embracing the value of data "in motion" at the edge–whether from user data, sensors or humans. Extracting information from incoming data as quickly as possible has become a competitive advantage. Stream processing is the best option and it has sparked new tools, frameworks, and architecture patterns for developers creating applications and systems designed specifically for real-time data. 

I sat down with Dr. Dean Wampler, Office of the CTO and Big Data Architect at Lightbend, we discuss how streaming data is shaking things up, and how the upcoming Lightbend Fast Data Platform is bringing Fast Data to enterprises looking to modernize today.

We are happy to announce the availability of Fast Data Architectures For Streaming Applications, a new O'Reilly report authored by the architect for fast data products at Lightbend, Dean Wampler (@deanwampler). In this report he examines the rise of streaming systems for handling time-sensitive problems —like detecting fraudulent financial activity as it happens. You’ll explore the characteristics of fast data architectures, along with several open source tools for implementing them.