Deployment environment

Q: How deeply does Delivering Machine Learning Projects: From design to deployment cover deployment environment?

Defines environment roles and provisioning checks, but stops short of bespoke infrastructure or scale-related implementation.

As explained in Delivering Machine Learning Projects: From design to deployment

A deployment environment is an isolated computing context in which software and its supporting services are developed, tested, or operated.

A deployment environment is an isolated computing context for project delivery. Separate development, test, and production environments organize how software and supporting services are prepared and operated. section 6.6.1

A practical environment setup should:

Instantiate required components and services rapidly with infrastructure as code (IaC). section 6.6.1
Verify the build through inspection and record the result in an infrastructure report. section 6.6.1
Align environment decisions with the infrastructure plan, policy agreement, and stakeholder plans for using the system. section 6.6.1

How Delivering Machine Learning Projects: From design to deployment covers it

Cover of Delivering Machine Learning Projects: From design to deployment

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Related concepts

monitoringconfigures · Monitoring is the ongoing observation and measurement of a system’s behavior, state, or operational signals to assess its condition and detect changes or problems.
abstractionused by · Abstraction is a simplified representation that exposes relevant properties or behavior while omitting lower-level details unnecessary for a given purpose.
configurationconfigured by · A specification of settings, parameters, or component relationships that determines how a system, application, model, or process is structured or operates.
environmentkind of · An environment is the external context, including its entities and conditions, in which a system, process, or agent exists or operates.
Kubernetes clusterimplemented by · A Kubernetes cluster is a set of control-plane and worker machines managed by Kubernetes to run and coordinate workloads and services.
reliabilityconfigures · Reliability is the ability of a system or process to perform its intended functions consistently and dependably under specified conditions and over time.

This explainer was generated by Manning's knowledge graph from the text of Delivering Machine Learning Projects: From design to deployment. The section links point to the parts of the book it draws on.