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

How SK telecom democratizes streaming data with FLOW and Flink
FLOW is an abstraction layer on top of Flink allowing teams at SK telecom...

Replayable Process Functions: Time, Ordering, and Timers
This use case shows how Bird uses Flink to detect when scooters go offlin...

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 ...
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