Blog
Apache Flink, stream processing, event-driven applications, and more.

Real-time Experiment Analytics at Pinterest using Apache Flink
This post explains how the team at Pinterest developed a real-time experi...

Announcing Stateful Functions: Distributed State, Uncomplicated
We are thrilled to announce the launch of Stateful Functions, an open sou...

Flink Forward Session Preview: Streaming Event-Time Partitioning With Apache Flink and Apache Iceberg at Netflix
In this post, Julia Bennet from Netflix will give a sneak preview of her ...

Stream processing with High Cardinality and Large State at Klaviyo
We showcases how Klaviyo leverages Apache Flink to scale the company’s re...

Flux capacitor, huh? Temporal Tables and Joins in Streaming SQL
How to manage and model temporal data for effective point-in-time analysi...

Using Apache Flink for Smart Cities: the case of Warsaw
This blog post describes how we used Apache Flink as the primary stream p...

Flink and Prometheus Cloud-native monitoring of streaming applications
We describes how developers can leverage Apache Flink’s built-in metrics ...

What are the benefits of stream processing with Apache Flink for modern application development?
It is a Q&A session w/ Vino Yang Senior Engineer at Tencent’s Big Data te...

Monitoring Apache Flink Applications 101
This post provides an introduction to Apache Flink’s built-in monitoring ...
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