Robert Metzger

We will explore options to run Apache Flink with a very low resource footprint, allowing users to run full streaming SQL queries or custom streaming applications on JVMs with less than 500mb

Resource Elasticity is a frequently requested feature in Apache Flink: Users want to be able to easily adjust their clusters to changing workloads for resource efficiency and cost saving reasons.

Flink is moving quickly, and so does the community driving it. There are many efforts such as the integration of the Chinese-speaking community, the development of a community packages website or improvements to the contribution process.The sheer number of efforts make it difficult to keep track of all of them — that’s why this talk will provide an overview of what happened in the past year, an...

This talk will introduce you to the various ways of contributing to Apache Flink. We will start by an introduction into the Apache Software Foundation, its history and present-day status, and where Apache Flink fits within the Foundation.

The Apache Flink community has pushed (and continues to push) the boundary for Stream Processing over the last years, following the understanding that Stream Processing is unifying paradigm to build data processing applications, beyond real-time analytics.The latest major effort in the Flink community is nothing less then re-architecting the API and runtime stack, with the goal to naturally sup...