Deployment Patterns
Deployment Patterns groups the core ideas a learner needs at the 12 · deployment, monitoring & improvement stage. Work through the lessons in order when new to the area, or use them independently as a reference when implementing an analysis.
Learn the mechanism one decision at a time
Work through the lessons in order if the topic is new. If you already know the basics, open the specific leaf lesson that matches the operation, diagnostic or failure mode you need.
1Definition→
2Mechanism→
3Example→
4Diagnostic→
5Decision
Batch scoringBatch scoring belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.
02Online API inferenceOnline API inference belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.
03Streaming inferenceStreaming inference belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.
04Edge deployment intuitionEdge deployment intuition belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.
05Model serialisationModel serialisation represents a family or practice in model building. The central idea is to define what structure can be learned, how model quality is measured during fitting, and how generalisation is tested on observations not used to choose the model.
06Serving the preprocessing pipelineServing the preprocessing pipeline is an evaluation quantity that compresses a particular aspect of predictive behaviour into a number. Its usefulness depends on whether that aspect matches the real decision cost, class prevalence and intended model output.
07Latency and throughput basicsLatency and throughput basics belongs to the operational phase where an analytical result becomes a maintained system. Production quality requires the data contract, preprocessing, model, decision logic and monitoring to remain consistent over time.