Flink

Lesson in the MLOps Roadmap · Stage 11: Monitoring & Observability

Last updated 14 September 2026

What is Flink?

Apache Flink is an open-source stream processing framework designed for real-time and batch data processing with low latency and high throughput. It supports event time processing, fault tolerance, and stateful operations, making it ideal for applications like real-time analytics, fraud detection, and event-driven systems. Flink is highly scalable, integrates with various data systems, and is widely used in industries for large-scale, real-time data processing tasks.

Study this in the interactive course See the whole MLOps roadmap

Free resources to learn Flink

Official docsApache Flink Documentation
ArticleApache Flink
ArticleAn Introduction to Stream Processing with Apache Flink
VideoIntroduction | Apache Flink 101
FeedExplore top posts about Apache Flink

Flink: common questions

Can I learn Flink in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Flink in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Flink tutorial for beginners?

It is lesson 55 of 62 in the free MLOps roadmap, in stage 11, Monitoring & Observability. If you are new to MLOps, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.