Hands-on machine learning with Kafka-based streaming pipelines
February 13, 2020
Boris Lublinsky and Dean Wampler examine ML use in streaming data pipelines, how to do periodic model retraining, and low-latency scoring in live streams. Learn about Kafka as the data backplane, the pros and cons of microservices versus systems like Spark and Flink, tips for TensorFlow and SparkML, performance considerations, metadata tracking, and more.
Managing your Kafka in an explosive growth environment
February 12, 2020
Frequently, Kafka is just a piece of the stack that lives in production that often times no one wants to touchbecause it just works. Alon Gavra outlines how Kafka sits at the core of AppsFlyer's infrastructure that processes billions of events daily.
End-to-end ML streaming with Kubeflow, Kafka, and Redis at scale
January 30, 2020
With ubiquitous ML models, model serving and pipelining is more important now. Comcast runs hundreds of models at scale with Kubernetes and Kubeflow. Together with other popular open source streaming platforms such as Apache Kafka and Redis, Comcast invokes models billions of times per day while maintaining high availability guarantees and quick deployments. Join Nick Pinckernell to learn how.
Processing 10M samples a second to drive smart maintenance in complex IIoT systems
January 7, 2020
Geir Engdahl and Daniel Bergqvist explain how Cognite is developing IIoT smart maintenance systems that can process 10M samples a second from thousands of sensors. You'll explore an architecture designed for high performance, robust streaming sensor data ingest, and cost-effective storage of large volumes of time series data as well as best practices learned along the way.
Flowchain Ecosystem: The Solutions for AI Model Training and Distributed Network Storage of Streaming Data
September 19, 2019
Flowchain is a hybrid blockchain containing one public blockchain and multiple private blockchains. To run the hybrid blockchain in real-time without compromising the security, PPKI (Pseudonymous Publ …