chapter 46
model serving, ci/cd, and mlops
serving a model means handling inputs, versions, routes, batch jobs, ci gates, rollback, and production failures deliberately.
model serving, ci/cd, and mlops
Serving a model is software work with model-specific failure modes. This chapter practices request validation, batch versus realtime tradeoffs, runtime config, CI gates, rollout decisions, and a tiny server handoff.
The exercises use small Python dictionaries and lists so every check can run in the browser. Real-world tools may be larger, but the review shape stays the same: input, decision, evidence, blocker, and next step.
By the end of the chapter, learners should be able to turn this topic into a concrete handoff instead of a vague model claim.
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lessons in this chapter
- fastapi inference shapefastapi inference shapefastapi inference shapefastapi inference shapefastapi inference shapefastapi inference shapefastapi inference shapefastapi inference shapefastapi inference shapefastapi inference shapefastapi inference shape
- batch vs realtime servingbatch vs realtime servingbatch vs realtime servingbatch vs realtime servingbatch vs realtime servingbatch vs realtime servingbatch vs realtime servingbatch vs realtime servingbatch vs realtime servingbatch vs realtime servingbatch vs realtime serving
- docker runtime and config shapedocker runtime and config shapedocker runtime and config shapedocker runtime and config shapedocker runtime and config shapedocker runtime and config shapedocker runtime and config shapedocker runtime and config shapedocker runtime and config shapedocker runtime and config shapedocker runtime and config shape
- github actions validation gatesgithub actions validation gatesgithub actions validation gatesgithub actions validation gatesgithub actions validation gatesgithub actions validation gatesgithub actions validation gatesgithub actions validation gatesgithub actions validation gatesgithub actions validation gatesgithub actions validation gates
- continuous training and rolloutcontinuous training and rolloutcontinuous training and rolloutcontinuous training and rolloutcontinuous training and rolloutcontinuous training and rolloutcontinuous training and rolloutcontinuous training and rolloutcontinuous training and rolloutcontinuous training and rolloutcontinuous training and rollout
- mission: fastapi model servermission: fastapi model servermission: fastapi model servermission: fastapi model servermission: fastapi model servermission: fastapi model servermission: fastapi model servermission: fastapi model servermission: fastapi model servermission: fastapi model servermission: fastapi model server