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

Singles Day 2018: data in a Flink of an eye
Learn how Alibaba uses stream processing and Apache Flink to power real-t...

Stream processing: An Introduction to Event Time in Apache Flink
This post gives an introduction to Event Time in Apache Flink.

Broadcast State Pattern in Apache Flink: 4 important considerations
What to consider when working with the Broadcast State Pattern in Apache ...

Flink SQL for powerful querying of data streams and data at rest
Recent Flink releases have added quite a bit of functionality that makes ...

3 differences between Savepoints and Checkpoints in Apache Flink
This post explains Apache Flink's Savepoints and Checkpoints and examines...

Stateful Stream Processing: Apache Flink State Backends
This article explores stateful stream processing and more precisely the d...

Watermarks in Apache Flink Made Easy
This post presents a simple example showing why we need watermarks in Fli...

How Apache Flink manages Kafka consumer offsets
This blog post describes how Apache Flink manages Apache Kafka consumer o...

6 things to consider when defining your Apache Flink cluster size
This blog post provides some easy tips on how to plan and calculate a Fli...
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