Model → API in days
- Model Packaging & Containerization (Docker)
- REST API Endpoint for Inference
- Basic CI/CD Pipeline
- Model Versioning (MLflow)
- Logging & Basic Monitoring
- Documentation & Setup Guide
PythonDockerFastAPIMLflowGitHub Actions
◢ MLOPS SERVICES
MLOps
From model to production
Get your ML models into production — the right way. Full access, no vendor lock-in, infra-as-code.
- Full Access
- No Vendor Lock-In
- Infra as Code
atlas/health
12.4msp95 latency
99.8%uptime · 30d
◢ CHOOSE YOUR PLANThree tiers.
Three tiers.
One you can actually ship.
Every plan ships with full source code. No vendor lock-in, no recurring fees, no surprise invoices.
Full pipeline with auto-retrain
- End-to-End ML Pipeline (Data → Train → Deploy)
- Automated Retraining Pipeline
- Model Registry & Versioning (MLflow / W&B)
- Feature Store Setup
- A/B Testing Framework
- Data Drift Detection
- Auto-Scaling Inference API
- Alerting & Notifications
PythonMLflowW&BDockerKubernetesFastAPIAWS
- Pipeline Architecture Diagram
- Runbook
Full ML platform
- Full ML Platform Architecture
- Multi-Model Serving Infrastructure
- Automated Data Pipeline (ETL / Streaming)
- Canary / Blue-Green Deployments
- GPU/TPU Optimized Inference
- Advanced Monitoring (Prometheus + Grafana)
- Data Drift + Concept Drift Detection
- Auto-Scaling with Kubernetes
- Security & Compliance (RBAC, Audit Logs)
PythonKubeflowMLflowAirflowDockerKubernetesTerraformAWS / GCP
- Infra as Code (Terraform)
- DR Plan
- Onboarding Guide
◢ PERFECT FORBuilt for the
Built for the
shipping crowd.
- Data Scientists
- ML Teams
- AI Startups
- FinTech
- HealthTech
◢ WHAT YOU GET
- 01Inference API
- 02Retraining Pipeline
- 03Feature Store
- 04Drift Detection
- 05A/B Testing
- 06GPU Serving
◢ READY?Limited slots,
Limited slots,
50% off while it lasts.
Full source code handover with every plan. DM, mail, or drop your brief — we'll be back within 24h.