In 2026, MLOps isn't just about training model, it’s about handling high-velocity data streams and ensuring system reliability. We’ll cover:
✅ Event Streaming: Setting up Kafka (KRaft mode) to ingest transaction data in real-time.
✅ Containerization: Using Docker & Docker Compose to orchestrate our microservices.
✅ Model Serving: Building a high-performance API with FastAPI for sub-second inference.
✅ Feature Engineering: Handling streaming data for immediate fraud scoring.
🚀 Resources & Links:
GitHub Repo: https://github.com/Mayurji/MLOps-Project/tree/main/real-time-fraud-detection
Join the Community: https://www.youtube.com/channel/UCFKxdpoc4KdMjUaAsMi7gmg/join
#mlops
#MachineLearning #Kafka #Docker #FastAPI #DataEngineering #FraudDetection #Python #DataScience2026 #DevOps
