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

Data-driven Matchmaking at Azar with Apache Flink
Describing the distributed, streaming architecture of Azar's Matchmaking ...

Flink for online Machine Learning and real-time processing at Weibo
Weibo uses Apache Flink to develop real-time Machine Learning pipelines a...

How GoDaddy uses Flink to run real time streaming pipelines
Details of GoDaddy's process for building a streaming data platform and t...

Application Log Intelligence & Performance Insight at Salesforce using Flink
This post gives a high-level overview of how Salesforce uses Apache Flink...

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...

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

Using Apache Flink for Smart Cities: the case of Warsaw
This blog post describes how we used Apache Flink as the primary stream p...
Let’s Talk
Ververica's Unified Streaming Data Platform helps organizations to create more value from their data, faster than ever. Generally, our customers are up and running in days and immediately start to see positive impact.
Once you submit this form, we will get in touch with you and arrange a follow-up call to demonstrate how our Platform can solve your particular use case.