Streaming Data Analysis with Kubernetes

Streaming Data Analysis with Kubernetes

Dealing with real-time, in-memory, streaming data is a unique challenge and with the advent of the smartphone and IoT (trillions of internet connected devices), we are witnessing an exponential growth in data at scale. To be able to handle potential data growth, you want to process data in a cloud environment that can easily scale. In this space, Kubernetes offers great container orchestration and auto-scaling, and when combined with Infinispan, an in-memory data grid, it empowers you with state of the art distributed data processing capabilities to tackle these challenges. In this session, we will identify critical patterns and principles that will help you achieve greater scale and response speed, and you will see them in action with live coding examples.


Galder Zamarreño

February 06, 2018