MoleCrab MLOps Platform
Project description
A Kubernetes-based MLOps project for reproducible image-model training, evaluation, registration, serving, and monitoring. Its architecture separates infrastructure, GitOps, ML workflows, model lifecycle management, inference, and observability.
Macro diagrams
High-level views of the system, MLOps lifecycle, training pipeline, and model serving.
01 · System architecture
System Architecture
High-level view of the offline training system, online prediction system, GitOps, and infrastructure.
02 · MLOps lifecycle
End-to-End MLOps Flow
High-level flow from versioned data and training through model approval, deployment, serving, and monitoring.
03 · Model training
Training Pipeline
High-level training workflow covering preparation, validation, experiments, evaluation, and model registration.