Built with Love and Scale by ex-Netflix, Databricks, and Tensorflow Engineers

Reference Architecture

100% Open Source

Completely Kubernetes and Docker Based

Supports PMML and Native C++/Java Code Generation for Optimized CPU and GPU Performance

Deploy directly from Jupyter Notebook to Hybrid-Cloud Microservices

NetflixOSS-based Microservices for High Scalability and Availability

Continuously Train and Deploy Spark ML and Tensorflow AI Pipelines to Production

KINESIS

Live Demo

• Use any username/password
• Note: Please do not store sensitive info in this insecure environment!

Environment Setup

Pipeline Mini (Local Laptop)

• Small Kubernetes cluster for your laptop

Pipeline Distributed

• Kubernetes cluster on any cloud provider or on-premise

Pipeline Hybrid (Multi-cloud)

• Kubernetes cluster across many cloud providers and/or on-premise

PipelineIO Resources

Training Repo

Workshop Schedule

Global Advanced Spark and Tensorflow Meetup

YouTube Videos

Slideshare Slides

Docker Images

24x7 Global Support

• Or email [email protected]