infra
intermediate
ML Model Serving Platform
Solution Components
ml
mlops
serving
inference
monitoring
Cloud Cost Estimator
Dynamic Pricing Calculator
$0 / month
Compute Resources
$ 15
Database Storage
$ 25
Load Balancer
$ 10
CDN / Bandwidth
$ 5
* Estimates vary by provider & region
%% 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["
"]
class inference_api c-network
model_server["
"]
class model_server c-compute
ab_testing[""]
class ab_testing c-compute
end
subgraph data_layer ["Data Layer"]
direction TB
model_registry["
"]
class model_registry c-database
feature_store[""]
class feature_store c-database
end
subgraph ops ["MLOps"]
direction TB
monitoring[""]
class monitoring c-compute
training_pipeline[""]
class training_pipeline c-compute
end
%% Orphans
clients["
Applications requesting predic
tions"] 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
Inference APIgatewayREST/gRPC endpoint
Model ServerserviceTF Serving / TorchServe
A/B TestingserviceModel version routing
Model RegistrydatabaseMLflow / Weights & Biases
Feature StoredatabaseFeast / Tecton
Monitoring StackserviceMetrics, drift detection
Training PipelineserviceModel training & registration
API Clientsactor
tions"] 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 |