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Andrea Peruffo , James Townley

Akka Data Pipelines Adds Improved End User Controls for Flink and Spark

Detecting Real-Time Financial Fraud with Cloudflow on Kubernetes

From Batch To Streaming For 20B Sensors Using Akka, Kafka, Scala, and Spark

Real-Time Fraud Detection with Lightbend Pipelines (Demo)

Boris Lublinsky

How To Use Spark Streaming For Dynamically Controlled Streams

Boris Lublinsky

Managing Streaming And Queryable State In Spark, Akka Streams, Kafka Streams, And Flink

Lightbend Podcast: How Lightbend Pipelines Is Changing The Game For Real-Time Streaming

Design Techniques for Building Streaming Data, Cloud-Native Applications: Part 1 - Spark, Flink, and Friends

Chaoran Yu , Stavros Kontopoulos

How To Manage And Monitor Apache Spark On Kubernetes - Part 1: Spark-Submit VS Kubernetes Operator

Chaoran Yu , Stavros Kontopoulos

How To Manage And Monitor Apache Spark On Kubernetes - Part 2: Deep Dive On Kubernetes Operator For Spark

A Glimpse At The Future Of Apache Spark 3.0 With Deep Learning And Kubernetes

Stavros Kontopoulos

How Lightbend Got Apache Spark To Work With Scala 2.12

Hands On With Spark: Creating A Fast Data Pipeline With Structured Streaming And Spark Streaming

New Edition: Fast Data Architectures For Streaming Applications (2nd Ed.)

Free O'Reilly eBook: "Designing Fast Data Application Architectures" With The SMACK Stack

Executive Briefing: What Is Fast Data And Why Is It Important?

Akka, Spark or Kafka? Selecting The Right Streaming Engine For the Job

Intelligently Monitor And Rapidly Troubleshoot Streaming Fast Data Applications With OpsClarity

Design Streaming Fast Data Applications with Spark, Akka, Kafka and Cassandra on Mesos & DC/OS

Learning Spark Streaming: Get Free Chapters From The O'Reilly Book