Lightbend Training for Scala, Akka, Play and Apache Spark

Having a team adopt new technologies and approaches to software development is a daunting task.  New paradigms and unfamiliar ontologies headline the biggest risks to having a team be productive quickly.  Lightbend has a suite of training classes to help you adopt whatever components of Reactive Platform you need to be responsive to you customers by creating resilient and elastic applications.

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@theotown
February 21, 2016

The How and Why of Fast Data Analytics with Apache Spark

In recent years, Fast Data, not Big Data, has been more important to react to real-time events and decision making; slower batch processing of large data sets with Hadoop is not always as important for most SMEs. So if your data pipeline is bloated and ready for an upgrade, this webinar will provide you with an overview of what Spark is and gain an understanding of why it is indeed the right tool to improve your Fast Data strategy.

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Fast Forward With Fast Data, Scala and Akka: Q/A with Spark Job Server creator

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.

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Typesafe Reactive Platform: Monitoring 1.0, Commercial features and more

Were you able to attend our latest webinar? If not, here's your chance to catch our educational go-to guy get excited about the lastest in our Reactive Platform. Typesafe’s Senior Director of Global Services, Jamie Allen, walks you through Reactive Platform 1.0, with added features for more elasticity and resilience to address the challenges of today's main business requirements.

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@typesafe
November 4, 2015

Rocking out at Datapalooza with Cake: Interview with Jan Machacek

If there’s one thing that’s clear this fall, it’s that conference season is in full swing. With Typesafers attending JavaOne in San Francisco, Spark Summit in Amsterdam, W-JAX in Munich, Devoxx in Belgium, YOW in Australia, Gartner Summit in Las Vegas, Scala eXchange in London and more popping on our calendars by the minute, our dance card is pretty full. That said, sometimes certain events come up that just catch your eye and you must make time for them.

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@tonyaraemoore
October 9, 2015

How to deploy Spark to Mesos, EC2 or standalone with Typesafe

Let's talk about Spark. In this fantastic webinar, Iulian Dragos, Spark team lead at Typesafe, shows how Typesafe supports running Spark in various deployment modes. He also discusses the improvements we recently made to Spark to help integrate backpressure signals into the underlying technologies, making it a better (dare we say AWESOME?) fit for Reactive Streams. He'll show you how to deploy Spark in various deployment modes: Standalone, Spark on Mesos, and Spark with Mesosphere’s Datacenter Operating Systems (DCOS). This last option is especially helpful for our customers in need of support. Typsesafe is proud to be the official commercial support provider of Spark on Apache Mesos, along with DCOS.

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@theotown
September 18, 2015

Scala and Spark Notebook: The Next Generation Data Science Toolkit

Andy Petrella at Data Fellas wants you to be productive with your data. This explains why he labored to create Spark Notebook, a fascinating tool that lets you use Apache Spark in your browser and is purposed with creating reproducible analysis using Scala, Apache Spark and other technologies. Spark Notebook offers these capabilities to anybody who needs to play with data, leveraging not only Spark for all data manipulation, but also the Typesafe Reactive Platform, to offer unique power to the user.

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Four Things to Know about Reliable Spark Streaming with Typesafe and Databricks

Last week, we were happy to have a Typesafe co-webinar with Databricks, the company founded by the creators of Apache Spark. Our Big Data Architect Dean Wampler and Datatbrick's Lead Engineer for Spark Streaming, Tathagata Das (TD) provided a 1-hour presentation with Q/A on Spark Streaming, which makes it easy to build scalable fault-tolerant streaming applications with Apache Spark.

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Using Spark, Kafka, Cassandra and Akka on Mesos for Real-Time Personalization

The gambling industry has arguably been one of the most comprehensively affected by the internet revolution, and if an organization such as William Hill hadn't adapted successfully it would have disappeared. Watch Patrick Di Loreto, R&D Engineering lead for William Hill, deliver to nearly 1300 registrants what his company is doing to grow in a fast-paced industry where milliseconds can matter to users and real-time data analysis and reactions are the keys to competitive advantage. 

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@lwmasterson
March 5, 2015

Eight hot technologies that were built in Scala

scala

With Scala Days 2015 San Francisco just around the corner (and only 15% of tickets left), it has got me thinking quite a bit about how much the ecosystem has expanded since I first became involved with the conference in 2011. 

The rapidly-growing Scala community has evolved from what was largely a very academic and research-oriented crew, with some early champions like Twitter and Foursquare, to a language that’s become a standard for enterprises, start-ups and universities alike. 

But even as companies and individuals use Scala to build their own new ideas, they also utilize other excellent tools like Play Framework, Akka, Apache Spark and Kafka...which are not only some of the hottest tools and projects on the market right now, but also intentionally built in Scala (for many reasons…)

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@typesafe
December 3, 2014

Spark Survey

Back in September, we ran a survey to gather people’s thoughts and upgrade plans around Java 8. We were surprised to find that among the 3,000 respondents, more than 17% are already using Apache Spark in production. Considering how Spark support by the major Hadoop vendors is only about a year old, this number took many by surprise.

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Report

Going Reactive 2016

White Paper

Microservices In Production

White Paper

Fast Data: Big Data Evolved

White Paper

An Introduction to Reactive Streams, Akka Streams and Akka HTTP

Webinar

Reactive Platform: Monitoring 1.0, Commercial features &...