It has been a while since our last blog post about how to set up Ververica Platform (vvP) on Microsoft Azure and a few things have improved since then. Time for an update and an extension on topics not covered yet. The original post covered...
How SK telecom democratizes streaming data with FLOW and Flink
Replayable Process Functions: Time, Ordering, and Timers
This post originally appeared on the Bird Engineering account on Medium. It was reproduced here with permission from the author.
Detecting Offline Scooters with Stream Processing
Some of the most interesting challenges at Bird involve dealing...
Key Highlights from Flink Forward Beijing 2019
On November 28-30, Beijing welcomed the 2019 Flink Forward conference for the second time. This year’s attendance number exceeded 2,000 people, an increase of nearly 100% year-on-year.
In addition to the rapid increase in the number of...
Announcing Flink Community Packages
Introducing the Ververica Development and Startup License Programs
Since its inception, Ververica Platform has focused on enabling and supporting the modern enterprise in its adoption of state-of-the-art data processing powered by real-time data. Oftentimes, early adopters of stream processing technologies need...
Real-time Experiment Analytics at Pinterest using Apache Flink
This post originally appeared on the Pinterest Engineering Blog on Medium. It was reproduced here with permission from the authors.
At Pinterest, we run thousands of experiments every day. We mostly rely on daily experiment metrics to evaluate...
Introducing Ververica Platform 2.0
Ververica Platform 2.0 brings long term enterprise support for Apache Flink 1.9.0, Kubernetes-based Flink Master Failover, artifact management, and a simplified approach to role-based access control.
Ververica Platform aims to enable and support...
Ververica Announces Open Source Framework to Enable Lightweight, Stateful Applications at Scale
Stateful Functions brings together the benefits of stream processing with Apache Flink® and Function-as-a-Service (FaaS) to provide a powerful abstraction for the next generation of event-driven architectures.