Latency Budget
Step percentiles do not add to an end-to-end percentile. A useful budget reserves fallback time and tests the complete request path under load.
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Batch Scoring
A newly computed score can still use old inputs. Batch scoring needs a validity contract and a publication path that exposes the verified results.
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Model Serving Architecture
A fictional checkout failure shows why stored scores, online features, fallback capacity, and recovery compatibility need explicit contracts.
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AWS SageMaker Endpoints
SageMaker endpoints host models for prediction. Deployment state, invocation mode, input contracts, capacity lifetime, and scaling delay shape their operation.
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Model Compression and Deployment
The model is the easy part. Everything after training is where deployments fail.
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Model Serving Latency, Batching, and Autoscaling
A model server is a queue in front of an expensive machine. This guide explains how batching, replica scaling, latency targets, and overload policy determine tail latency, with runnable simulations and a benchmarking method that avoids coordinated omission.