infra
intermediate

ML Model Serving Platform

Solution Components

ml
ml
mlops
mlops
serving
serving
inference
inference
monitoring
monitoring

Architecture Visual

%% Autogenerated ml-serving-platform graph TD classDef standard fill:#1e293b,stroke:#38bdf8,stroke-width:1px,color:#e5e7eb; classDef c-actor fill:#1e293b,stroke:#e5e7eb,stroke-width:1px,stroke-dasharray: 5 5,color:#e5e7eb; classDef c-compute fill:#422006,stroke:#fb923c,stroke-width:1px,color:#fed7aa; classDef c-database fill:#064e3b,stroke:#34d399,stroke-width:1px,color:#d1fae5; classDef c-network fill:#2e1065,stroke:#a855f7,stroke-width:1px,color:#f3e8ff; classDef c-storage fill:#450a0a,stroke:#f87171,stroke-width:1px,color:#fee2e2; classDef c-security fill:#450a0a,stroke:#f87171,stroke-width:1px,color:#fee2e2; classDef c-gateway fill:#2e1065,stroke:#a855f7,stroke-width:1px,color:#f3e8ff; classDef c-container fill:#422006,stroke:#facc15,stroke-width:1px,color:#fef9c3; subgraph serving ["Serving Infrastructure"] direction TB inference_api(("<img src="/icons/inframap/edge.png" width="32" height="32" /><br/><b>Inference API</b><br/><i>gateway</i><br/><span style='font-size:0.8em'>REST/gRPC endpoint</span>")) class inference_api c-network model_server("<img src="/icons/inframap/compute.png" width="32" height="32" /><br/><b>Model Server</b><br/><i>service</i><br/><span style='font-size:0.8em'>TF Serving / TorchServe</span>") class model_server c-compute ab_testing("<img src="/icons/inframap/compute.png" width="32" height="32" /><br/><b>A/B Testing</b><br/><i>service</i><br/><span style='font-size:0.8em'>Model version routing</span>") class ab_testing c-compute end subgraph data_layer ["Data Layer"] direction TB model_registry[("<img src="/icons/inframap/database.png" width="32" height="32" /><br/><b>Model Registry</b><br/><i>database</i><br/><span style='font-size:0.8em'>MLflow / Weights & Biases</span>")] class model_registry c-database feature_store[("<img src="/icons/inframap/database.png" width="32" height="32" /><br/><b>Feature Store</b><br/><i>database</i><br/><span style='font-size:0.8em'>Feast / Tecton</span>")] class feature_store c-database end subgraph ops ["MLOps"] direction TB monitoring("<img src="/icons/inframap/compute.png" width="32" height="32" /><br/><b>Monitoring Stack</b><br/><i>service</i><br/><span style='font-size:0.8em'>Metrics, drift detection</span>") class monitoring c-compute training_pipeline("<img src="/icons/inframap/compute.png" width="32" height="32" /><br/><b>Training Pipeline</b><br/><i>service</i><br/><span style='font-size:0.8em'>Model training & registration</span>") class training_pipeline c-compute end %% Orphans clients(("<img src="/icons/inframap/user.png" width="32" height="32" /><br/><b>API Clients</b><br/><i>actor</i><br/><span style='font-size:0.8em'>Applications requesting predic<br/>tions</span>")) class clients c-actor %% Edges clients -.-> inference_api inference_api -.-> model_server inference_api -.-> feature_store model_server -.-> model_registry monitoring -.-> inference_api monitoring -.-> model_server ab_testing -.-> model_server training_pipeline -.-> model_registry training_pipeline -.-> feature_store

ML Model Serving Platform

Enterprise ML serving platform for deploying and managing machine learning models in production.

Includes model registry for versioning, feature store for consistent feature engineering, inference API for real-time predictions, and comprehensive monitoring for model performance and drift detection.

Tech Stack

Component Technology
Registry MLflow
Serving TensorFlow Serving / TorchServe
Features Feast
Monitoring Prometheus + Grafana

Cloud Cost Estimator

Dynamic Pricing Calculator

$0 / month
MVP (1x) Startup (5x) Growth (20x) Scale (100x)
MVP Level
Compute Resources
$ 15
Database Storage
$ 25
Load Balancer
$ 10
CDN / Bandwidth
$ 5
* Estimates vary by provider & region
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