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Popular White Papers, Datasheets & Reports

  • White Paper

    Microservices In Production

    What Ops Should Know About Reactive Systems

    Get White paper
  • White Paper

    Fast Data: Big Data Evolved

    Explore the ecosystem that is emerging around Fast Data

    Get White paper
  • White Paper

    An Introduction to Reactive Streams, Akka Streams and Akka HTTP

    For Enterprise Architects

    Get White paper

Popular Case Studies & Stories

  • Case Study

    Modernizing from Monolith to Microservices

    The Guardian launches a digital-first strategy

    READ CASE STUDY
  • Case Study

    Achieving Unprecedented Resilience

    Walmart.ca experiences its first Black Friday with no downtime

    READ CASE STUDY
  • Community Story

    New Tweets Per Second Record, And How!

    A primary goal at Twitter is to make sure the service is always available

    Read Community Story

Latest E-Books & Videos

  • Latest E-Book Resources

    Why Reactive?

    Reactive

    Reactive

    Why Reactive?

    by Konrad Malawski

    It’s often difficult to separate hype from reality when it comes to evaluating new technologies, and that’s certainly true of reactive programming. In this report, author Konrad Malawski ana...

    Designing Reactive Systems

    Reactive

    Reactive

    Designing Reactive Systems

    by Hugh McKee

    Everything old is new again, at least when it comes to the Actor model. Today, there is renewed interest and adoption of this technology for building distributed systems, especially as cloud...

    Akka In Action

    Akka

    Akka

    Akka In Action

    by Raymond Roestenburg, Rob Bakker, and Rob Williams

    Akka is a Scala-based toolkit that simplifies developing concurrent distributed applications. Akka uses Actors-independently executing processes that communicate via message passing—as the f...

    All E-Book Resources
  • Latest Video Resources

    How To Get Monitoring Right For Streaming & Fast Data Systems

    Webinar

    fast-data monitoring

    How To Get Monitoring Right For Streaming & Fast Data Systems

    with Paul Jasek

    The increasingly real-time requirements of today’s applications are changing how users expect services and products to be delivered and consumed.

    Enterprises are responding to this by embracing Reactive system architectures coupled with best-in-class data processing tools to create a new class of programs called Fast Data applications. These applications are sparking the emergence of new business models and new services that take advantage of real-time insights to drive user retention, growth, and profitability.

    While streaming and Fast Data applications are powerful and create significant competitive advantages, they also impose challenges for monitoring and managing the health of the overall system, which ingest constant streams of data from tens or even hundreds of individual, distributed microservices, data sources, and external endpoints. Businesses must therefore rethink their approach if they wish to take full advantage of the Fast Data revolution.

    In this webinar by Lightbend’s Alan Ngai, VP of Cloud Services, and Hugh McKee, Global Solutions Architect, we review:

    • Why traditional monitoring solutions, built for legacy monolithic applications, are unable to effectively manage these intricately interconnected, distributed, and clustered systems.
    • What to look for in an effective monitoring solution for streaming and Fast Data applications.
    • How Lightbend Monitoring’s deep telemetry, automated discovery, configuration, topology visualization, and data-science-driven anomaly detection capabilities help ensure the health, availability and performance of your applications.
    • How Lightbend Monitoring helps businesses not just in production but also during development, so they can optimize their applications for performance from Day 1.
    • A live demo that includes a product walkthrough and sample scenarios so you can understand how your team can use Lightbend Monitoring to quickly troubleshoot problems and issues, and reduce MTTR.

    Building Streaming And Fast Data Applications With Spark Mesos Akka Cassandra And Kafka

    Webinar

    fast-data akka mesos spark

    Building Streaming And Fast Data Applications With Spark Mesos Akka Cassandra And Kafka

    with Sean Glover

    It’s become clear to many business that the ability to extract real-time actionable insights from data is not only a source of competitive advantage, but also a way to defend their existing business models from disruption. So while legacy models such as nightly batch jobs aren’t disappearing, an era of fast, streaming data (aka “Fast Data”) is upon us, and represents the state of the art for gaining real-time perishable insights that can then be used to serve existing customers better, acquiring new markets and keep the competition at bay.

    That said, distributed, Fast Data architectures are much harder to build, and carry their own set of challenges. Enterprises looking to move quickly are presented with a growing ecosystem of technologies, which often delays fast decisions and provides its own set of risks:

    • With so many choices, what tools should you use?
    • How do you avoid making rookie mistakes?
    • e best patterns and practices for streaming applications?

    In this webinar with Sean Glover, Senior Consultant at Lightbend and industry veteran, we examine the rise of streaming systems built around Spark, Mesos, Akka, Cassandra and Kafka, their role in handling endless streams of data to gain real-time insights. Sean then reviews how the Lightbend Fast Data Platform (FDP) brings them together in a comprehensive, easy to use, integrated platform, which includes installation, integration, and monitoring tools tuned for various deployment scenarios, plus sample applications.

    Using the Actor Model with Domain-Driven Design (DDD) in Reactive Systems

    Webinar

    reactive

    Using the Actor Model with Domain-Driven Design (DDD) in Reactive Systems

    with Vaughn Vernon

    Is the Actor Model just a new "shiny object" for developers to chase after, a fad soon to be abandoned? In fact, the Actor Model was first designed in 1973–over 20 years before brands like Yahoo! and Hotmail first arrived at the burgeoning internet. Created to address the long-term direction of computing and software development, it is almost as old as the formal definition of object-oriented programming.

    Fast forward to 2017, where we are faced with an online and mobile world that continues to grow exponentially, and a third wave of IoT aims to add hundreds of billions of connected devices to our lives.

    To manage today’s demanding needs and to prepare for the coming wave, enterprises like Intel, Samsung, Walmart, PayPal, Hootsuite, and Norwegian Cruise Lines are embracing distributed, Reactive systems deployed on hybrid cloud infrastructures. Central to these systems and applications is the Actor Model, which is seeing “renewed interest as cloud concurrency challenges grow,” according to Forrester Research.

    In this webinar, special guest Vaughn Vernon explains why actors are so vital to the future of software development. You will learn:

    • Why actors are so exceptionally well-suited for use with Domain-Driven Design, speaking the Ubiquitous Language of your core business domain.
    • How actors are designed to gracefully handle failure, maintaining system resilience and responsiveness to users no matter what’s happening.
    • How actors help you reactively scale your systems meet concurrency demands, elastically growing up and out to handle peak load, and shrinking when not minimizing your infrastructure and hardware footprint.
    All Video Resources

Podcast Channels

  • Lightbend Podcast Channel

  • Reactive Tech Talks Podcast Channel