ertis-research/kafka-ml

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

Machine Learning Pipelines for Kubeflow

TFX is an end-to-end platform for deploying production ML pipelines

Python Streaming DataFrames for Kafka

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

Build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

📈 A scalable, production-ready data pipeline for real-time streaming & batch processing, integrating Kafka, Spark, Airflow, AWS, Kubernetes, and MLflow. Supports end-to-end data ingestion, transformation, storage, monitoring, and AI/ML serving with CI/CD automation using Terraform & GitHub Actions.