Deployment

MLStation · Deployment

Deployment

From notebook to production: packaging, serving, scaling and keeping models healthy.

Build

ToolsFastAPI, MLflow, BentoML and the serving toolkit. MLOpsCI/CD, experiment tracking and reproducible pipelines. Docker & ContainersPackaging models so they run anywhere. Cloud PlatformsAWS, GCP and Azure options for ML workloads.

Operate

ScaleBatching, autoscaling, caching and cost control. MonitoringDrift, latency, quality and alerting. MaintenanceRetraining, dependency care and incident handling. Updates & VersioningSafe rollouts, model registries and rollback.

Latest articles

Model Deployment I — From Data to a Working ML Product
20 min
We will build a complete machine-learning product that predicts the next hour’s electricity demand of a commercial building. Nothing important is hidden behind “assume the…
Model Deployment II — Docker, GitHub, and the Cloud
8 min
Part I produced a working XGBoost model, Flask API and Streamlit UI. Now we package each service, reproduce it with Docker, push source to GitHub, and deploy the containers…
Model Deployment III — Where Should Your ML App Live?
8 min
Parts I and II built and containerized a real ML product. This final article separates source hosting from application hosting, compares practical low-cost choices, and…
Cloud Platforms for ML: Where Should Your Model Run?
7 min
Deployment
Cloud
AWS
GCP
Azure

VMs, serverless containers, Kubernetes and managed ML platforms on AWS, Google Cloud and Azure, with an interactive cost calculator and a traffic simulation.

Oct 1, 2026
Docker for Machine Learning: Package a Model So It Runs Anywhere
8 min
Deployment
Docker
Containers

Containers explained visually: images vs containers, a production Dockerfile for a model API, layer caching you can play with, and how to keep images small.

Oct 1, 2026
ML Deployment, Explained: From Notebook to Production
7 min
Deployment
MLOps

The big picture of putting a machine learning model to work: deployment patterns, the request journey, the latency budget and the build-and-operate loop.

Oct 1, 2026
New articles are on the way. Check back soon.
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