🚀 Want to store data more efficiently without losing redundancy? Stop relying on full replication—Erasure Coding is the modern solution for fault-tolerant, cost-effective storage! In this video, we break down Erasure Coding vs. Replication and show you why cloud giants like AWS, Azure, and Google Cloud use erasure coding to store massive amounts of data. Using a simple Python demo with Reed-Solomon encoding, you’ll see how data is split, how parity chunks work, and how missing data can be reconstructed—just like magic! ✨ 💬 Have questions about distributed storage? Drop them in the comments! 🔔 Like & Subscribe for more deep dives 📌 Timestamps 00:00 Introduction – Why Erasure Coding is Better than Replication 00:45 How Erasure Coding Works – Data Chunking & Parity Explained 03:42 Reed-Solomon Erasure Coding – Simple Real-World Analogy 04:42 Python Demo – Encoding Data into Chunks & Generating Parity 05:12 Simulating Data Loss & Recovering Missing Chunks 06:13 Erasure Coding vs Replication – Storage Overhead & Cost Savings 06:52 Real-World Use Cases – AWS S3, Azure, Google Cloud & HDFS 07:31 Key Takeaways & When to Use Erasure Coding AWS Certification: AWS Certified Cloud Practioner: AWS Certified Solution Architect Associate: AWS Certified Solution Architect Professional: #ErasureCoding #DistributedStorage #ReedSolomon