The Apache Flink logo includes a red squirrel eating an acorn.

Join us on February 11th 2021 from 1pm to 2pm EST on Zoom when Caito Scherr, Developer Advocate at Ververica: Stream processing powered by Apache Flink, will deliver the following presentation entitled “Harnessing the Power of Stream Processing: Adopting Apache Flink“.

Presentation Details

Fraud/anomaly detection, machine learning, Internet of Things (IoT), and data analytics- as an industry we’re seeing progressively more use cases that require near-real-time, accurate computing in order to be successful and competitive. Among the tools and frameworks that have remained up to speed (literally) with this demand is Apache Flink.

Among the main benefits of any effective stream processing framework include high throughput with the lowest possible latency. The more powerful the framework, the more of a challenge it can be to integrate it into an existing system that may not be built for the amount and speed of data that this framework can process. However, there are some steps to make this process easier, which is what this talk will cover. This will be beneficial to anyone who wants to adopt a powerful stream processing framework like Flink at their company. It will also cover additional challenges like how to navigate integration into a legacy monolith, and how to make the process more efficient both for the developers as well as for leadership and PMs.

Register for this event on

About Caito Scherr

From Caito’s LinkedIn profile:

Software Engineer-turned-Developer-Advocate. Lots of experience speaking at tech conferences and events, mentoring and volunteering at local tech groups for those underrepresented in tech. Woodworker, runner, and appreciator of terrible puns.

Caito can be found on:

About the Ververica Platform

From the Ververica website:

[The] Ververica Platform is an integrated platform for stateful stream processing and streaming analytics with Open Source Apache Flink. It enables organizations of any size to derive immediate insight from their data and serve internal and external stakeholders.

About Apache Flink

From the web page:

Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.


February 11


01:00 pm - 02:00 pm

Event Tags:

Analytics, Apache Flink, Flink, Java, Open-Source Software, Real-time stream processing, Stream Processing


Thomas P. Fuller


Online via Zoom only

1751 Pinnacle Drive, Suite 600

McLean, Virginia, USA, 22102