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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

    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...

    Fast Data Architectures For Streaming Applications

    Fast-Data

    Fast-Data

    Fast Data Architectures For Streaming Applications

    by Dean Wampler

    Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? In this report, author Dean Wampler examines the rise of strea...

    All E-Book Resources
  • Latest Video Resources

    Lessons Learned From PayPal: Back Pressure With Akka Streams And Kafka

    Webinar

    akka-streams reactive-streams

    Lessons Learned From PayPal: Back Pressure With Akka Streams And Kafka

    with Akara Sucharitakul

    Audience: Architects, Management Technical level: Intermediate

    Akka Streams and its amazing handling of streaming with back-pressure should be no surprise to anyone. But it takes a couple of use cases to really see it in action - especially in use cases where the amount of work continues to increase as you’re processing it. This is where back-pressure really shines.

    In this talk for Architects and Dev Managers by Akara Sucharitakul, Principal MTS for Global Platform Frameworks at PayPal, Inc., we look at how back-pressure based on Akka Streams and Kafka is being used at PayPal to handle very bursty workloads.

    In addition, Akara will also share experiences in creating a platform based on Akka and Akka Streams that currently processes over 1 billion transactions per day (on just 8 VMs), with the aim of helping teams adopt these technologies. In this webinar, you will:

    • Start with a sample web crawler use case to examine what happens when each processing pass expands to a larger and larger workload to process.
    • Review how we use the buffering capabilities in Kafka and the back-pressure with asynchronous processing in Akka Streams to handle such bursts.
    • Look at lessons learned, plus some constructive “rants” about the architectural components, the maturity, or immaturity you’ll expect, and tidbits and open source goodies like memory-mapped stream buffers that can be helpful in other Akka Streams and/or Kafka use cases.

    Fast Data: Selecting The Right Streaming Technologies For Data Sets That Never End

    Webinar

    fast-data

    Fast Data: Selecting The Right Streaming Technologies For Data Sets That Never End

    with Dean Wampler

    Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? Batch-mode processing isn’t going away, but exclusive use of these systems is now a competitive disadvantage. You’ll learn that, while fast data architectures are much harder to build, they represent the state of the art for dealing with mountains of data that require immediate attention.

    In this webinar, Lightbend’s Big Data Architect, Dr. Dean Wampler, examines the rise of streaming systems for handling time-sensitive problems. We’ll explore the characteristics of fast data architectures, and the open source tools for implementing them.

    We’ll also take a brief look at Lightbend’s upcoming Fast Data Platform (FDP), a comprehensive solution of OSS and commercial technologies. FDP includes installation, integration, and monitoring tools tuned for various deployment scenarios, plus sample applications to help you sort out which tools to use for which purposes.

    We’ll cover:

    • Learn step-by-step how a basic fast data architecture works
    • Understand why event logs are the core abstraction for streaming architectures, while message queues are the core integration tool
    • Use methods for analyzing infinite data sets, where you don’t have all the data and never will
    • Take a tour of open source streaming engines, and discover which ones work best for different use cases
    • Get recommendations for making real-world streaming system responsive, resilient, elastic, and message driven
    • Explore an example streaming application for the IoT: telemetry ingestion and anomaly detection for home automation systems

    Introducing Reactive Platform 2.0

    Webinar

    reactive

    Introducing Reactive Platform 2.0

    with Hywel Evans & Justin Pihony

    Architects, App Dev Managers, Directors and other decision makers are welcome to join this presentation covering our newest release of Reactive Platform v2.0, plus the chance to ask questions to our expert team.

    All Video Resources

Podcast Channels

  • Lightbend Podcast Channel

  • Reactive Tech Talks Podcast Channel