Apache Flink Streaming Optimization Guide

Real-Time Data Processing with Flink & Kafka

This repository contains high-performance Flink streaming pipelines, covering:
✅ Event-Time Processing with Watermarks
✅ Stateful Processing using RocksDB
✅ Optimizing Checkpoints & Fault Tolerance
✅ Kafka + Flink + Elasticsearch Pipeline

Read the Full Article on Medium: Link to Medium

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Repository Structure

• /code_examples/ → PyFlink scripts for real-time processing.
• /notebooks/ → Jupyter Notebook for interactive learning.
• /configs/ → Flink tuning configurations & scripts.

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How to Use

1️⃣ Clone this Repository

git clone https://github.com/usefusefi/flink-streaming-optimization.git
cd flink-streaming-optimization

2️⃣ Run Example Flink Jobs

python code_examples/event_time_watermarks.py

3️⃣ Run Jupyter Notebook

jupyter notebook notebooks/flink_streaming.ipynb