Blog Posts | February 28, 2019 - October 29, 2018 | Lightbend

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all akka akka-cluster akka-streams cloud-native machine-learning microservices streaming-data-pipelines telemetry

Boris Lublinsky

How To Deploy Kubeflow On Lightbend Platform With OpenShift - Part 7: ML Model Serving

Boris Lublinsky

How To Deploy Kubeflow On Lightbend Platform With OpenShift - Part 8: Deploying Pipelines

Boris Lublinsky

How To Deploy Kubeflow On Lightbend Platform With OpenShift - Part 9: Managing Models

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

Released: Lightbend Orchestration 1.7.1 and sbt-native-packager 1.3.18

Akka and Kubernetes: Reactive From Code To Cloud

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

Scala sbt 1.2.8 patch notes

White Paper: The Benefits Of Using Akka With Kubernetes

How Akka Works: Visualize And Demo Akka With A Raspberry-Pi Cluster

Scala sbt 1.2.7 patch notes

Lightbend Podcast: When To Use Play, Lagom, Or Akka HTTP For Your Project

Tales From the Road: Getting Operational Visibility Into the Microservices Blackbox

The Scala 2.12 and 2.13 Inliner and Optimizer

Machine Learning At Speed: Operationalizing ML For Real-Time Data Streams

Ask Lightbend Anything: Which App Should We Rewrite?

Ready for Fast Data: How Lightbend Enables Teams To Build Real-Time, Streaming Data Applications

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