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Designing Events-First Microservices For A Cloud Native World
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Scala Security: Eliminate 200+ Code-Level Threats With Fortify SCA For Scala
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How To Build, Integrate, and Deploy Real-Time Streaming Pipelines On Kubernetes
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Akka and Kubernetes: Reactive From Code To Cloud
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How Akka Works: Visualize And Demo Akka With A Raspberry-Pi Cluster
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Executive Briefing: What Is Fast Data And Why Is It Important?
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Putting Kafka In Jail - Best Practices To Run Kafka On Kubernetes & DC/OS
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Akka, Spark or Kafka? Selecting The Right Streaming Engine For the Job
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Concept Drift: Monitoring Model Quality in Streaming ML Applications
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Revitalizing Enterprise Integration with Reactive Streams
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Streaming Microservices with Akka Streams and Kafka Streams
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Microservices and Fast Data: Industry and Architecture Trends
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Operationalizing Machine Learning - Serving ML Models
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One Digital: Verizon Wireless Reactive Commerce Transformation Journey
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Lightbend Fast Data Platform Demonstration
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Designing Fast Data Applications - Resilient, Scalable Architectures And Deployment Strategies
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Building Fast Data Applications - Developer Tools For Performance Tuning And Deployment
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Running Fast Data Applications - Intelligent Monitoring And Troubleshooting
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Running Fast Data Applications - Resilient Production Tools And One-Stop Support
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Building Fast Data Applications - Development Team Enablement And Productivity
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Designing Fast Data Applications - How To Choose The Right Streaming Engine
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Understanding Fast Data Applications - The Why, What, And How
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Advanced Akka For Architects
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A Tale of Two APIs: Using Spark Streaming In Production
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Developing Secure Scala Applications With Fortify For Scala
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Intelligently Monitor and Rapidly Troubleshoot Streaming Fast Data Applications
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Design Streaming Fast Data Applications With Spark, Akka, Kafka and Cassandra on Mesos
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How Can Lightbend Help? - Episode 3
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What's Hard About Fast Data? - Episode 2
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Fast Data: How Did We Get Here? - Episode 1
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Akka Revealed: A JVM Architect’s Journey From Resilient Actors To Scalable Clusters
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Introducing "Lightbend Reactive Architecture - Professional” Remote/Onsite Training Course
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Why IBM + Lightbend
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I Love Scala for Machine Learning
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What's The Role of Machine Learning In Fast Data and Streaming Applications?
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Moving from Big Data to Fast Data? Here's How To Pick The Right Streaming Engine
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Five Early Challenges Of Building Streaming & Fast Data Applications
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How Credit Karma Makes Real-Time Decisions for 60 Million Users with Akka Streams and Apache Kafka
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Replacing Cron & Building Scalable Data Pipelines At Airbnb
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Building Streaming and Fast Data Applications with Spark, Mesos, Akka, Cassandra and Kafka
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Developing Fast Data Architectures with Streaming Applications
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Using the Actor Model with Domain-Driven Design (DDD) in Reactive Systems
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Exploring Reactive Integrations with Akka Streams, Alpakka and Kafka
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The Basics Of Reactive System Design For Traditional Java Enterprises
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Distributed Systems Done Right: Why Java Enterprises Are Embracing The Actor Model
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Lessons Learned From PayPal: Implementing Back-Pressure With Akka Streams And Kafka
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Fast Data: Selecting The Right Streaming Technologies For Data Sets That Never End
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Introducing Reactive Platform 2.0
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Overcoming Tough Architecture Challenges In Your Next Modernization Project
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Monitoring Microservices in Production with Lightbend Platform
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Modernizing Applications with Microservices and DCOS
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Lessons Learned From Verizon: Implementing Microservices
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The Future of Services: Building Asynchronous, Resilient and Elastic Systems
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Understanding Akka Streams, Back Pressure and Asynchronous Architectures
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The Enterprise Architect’s Intro to Microservices - Part 3: Bending Reality with Microservices in Production Systems
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The Enterprise Architect’s Intro to Microservices - Part 2: The 6 Traits of Reactive Microservices
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The Enterprise Architect’s Intro to Microservices - Part 1: Microservices, Monoliths, SOA and How We Got Here
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Akka 2.4 Plus New Commercial Features in Lightbend Reactive Platform
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Reactive Revealed 2/3: Elasticity, Scalability and Location Transparency in Reactive systems
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Reactive Revealed 1/3: Async NIO, Back-pressure and Message-driven vs Event-driven
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Microservices 101: Exploiting Reality's Constraints with Technology
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Four things to know about reliable Spark Streaming
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Akka Streams 1.0 and Slick 3.0
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Modernizing Your Aging Architecture: What Every Enterprise Architect Needs To Know About Going Reactive
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Using Spark, Kafka, Cassandra and Akka on Mesos for Real-Time Personalization
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Reactive Streams 1.0.0 and Why You Should Care
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Akka for Java Devs: Bridging the Imagination Divide
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