I am Summer, come to lure you away from your computer ... and we all deserve the upcoming break. But this doesn't stop us or our community to create amazing new content and give you some summer time reading. A big thank you to our community for creating so much amazing content sharing the knowledge on how to use Reactive technologies in the right ways.

By now you have likely heard the news that IBM has made a strategic investment in Lightbend to bring Reactive solutions to IBM Platforms. IBM and Lightbend have a history of collaboration, but this strategic investment and relationship will allow enterprise developers to reap the benefits of both Lightbend’s expertise in Reactive microservices and IBM’s expertise in AI and Machine Learning.

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.

With Scala Days just behind us and summer holidays ahead of us, we're gearing up for hot weather with plenty of new releases, events, and community driven articles...

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.

Throughout our experiences with hundreds of clients, we’ve seen that our most successful customers have been able to truly accelerate their progress with any new technology if they take the journey with a guide from Lightbend...

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!

With April swooshing by, we're a step closer to the warmer months again. Time to check how the communities have been working on Akka, Lagom, Play and Scala and which surprises you may have missed in April.

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.

Now that summer is approaching, it's a good time to check out the latest developments in the Akka, Scala, Play and Lagom communities. With many conferences last month and even more amazing blog posts, our new tech digest gives you a solid overview on what you may have missed last month.

In this Lightbend webinar, we present what to look for in an effective monitoring solution for streaming and Fast Data applications, including a demo of Lightbend Monitoring using sample scenarios to show how we can help your team not just in production, but also during development to catch performance issues before you even deploy.

Lightbend is in the business of delivering frameworks and tools that drive the Reactive (www.reactivemanifesto.org) mantra forward, and when it came time to define a layer of service deployment that drives high resource utilization, enterprise security features and a vibrant ecosystem of like-minded technologies, we selected DC/OS, both as the primary deployment framework for our new Fast Data Platform and the Lightbend Production Suite.

Lightbend attended the first conferences of the season, including JFokus, DevNexus and a number of user group meetups. Now it's time to look into what else the communities around Scala, Akka, Play and Lagom have been up to and pick your lunch break reads for the coming weeks.

Last year, more than 18,000 people registered for over 25 public and private webinars featuring Lightbend engineers, industry luminaries, industry analysts and even a few Lightbend customers, such as Verizon (case study) and PayPal (case study). This comes out to over a full, 24-hour day of presentations, which can be a bit daunting to dive into. So, to make it easier, we've listed the top 10 most popular webinars that we hosted in 2016, according to our registration numbers. We hope you find this list helpful!

Welcome to the first Tech Digest in 2017. The year has been off to an intense start and I'm happy to present the latest installment of the best resources around the Lightbend communities. 

Our Fast Data team at Lightbend has helped create a lot of different services, webinars, books and reports over the last year, so we made a special "mega-pack" of 7 resources to help you get exactly what you need....

In Enterprise Development Trends 2016, we surveyed 2151 JVM engineers about enterprise thoughts around microservices, fast data, cloud infrastructure and container technology. Among tons of fascinating data, we uncovered three major findings from the data collected...

Recently, we published a case study with our customer Swisscom, the leading mobile service provider in Switzerland. While the case study focuses more on the solution and implementation details of how Swisscom used Scala and Spark to build a fast data streaming platform from the ground up in just 9 months, there is more to the story. To get a fuller picture, we sat down with Francois Garillot, Big Data Scientist at Swisscom...

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.

People love Apache Spark. Typesafe is the official support partner with Databricks, Mesosphere and IBM for Apache Spark. If you’re a Fast Data visionary, then you’re looking for a modern solution to enable your streaming data applications. In today’s DevOps world, you’re looking for a more accessible way to work in particular with Spark Jobs. Instead of directly mingling around with the specific Spark installation, you want to have access to a lot of functions via lightweight protocols remotely. This is the gap that Spark Job Server closes.

Our whole company is excited about the results from our Going Reactive 2016 survey. So, I asked the source (and my teammate buddy), Oliver White, to give us an overview.

We recently published a white paper called "Fast Data: Big Data Evolved", by Dean Wampler, our traveling Big [Fast] Data Architect at Typesafe and author of Programming Scala. In it, we review the fundamental shift in recent year from what we call "data at rest" to today's demands for "data in motion". 

Today, it's my personal (me, as a person named Tonya Rae Moore who is typing this for you to read) pleasure to unveil the first ever Typesafe Ask Me Anything (AMA) Podcast feat. the Typesafe experts.

A couple of weeks ago, Typesafe launched the results of a survey in which over 2000 people were asked about the explosive adoption of Apache Spark. In the Slideshare presentation embedded above, you can see a sneak preview of some of the results of Apache Spark: Preparing for the Next Wave of Reactive Big Data, but the full version has a lot more to offer. The Scala community is showing intense interest in Apache Spark as well (according to the report, 88% of Spark users are working in Scala, 44% in Java, 22% in Python). So as resident “Apache Spark guy”, I thought it would be nice to put the popularity of Apache Spark in context, looking at what led us here, how enterprises are reacting, and what the needs of the mid-market really are.