Well-Architected machine learning - Machine Learning Lens

Well-Architected machine learning

This section introduces ML specific Well-Architected best practices. For each of the ML lifecycle phases, Well-Architected best practices are examined across each of the six pillars of operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. Best practices for each ML lifecycle phase follow an introductory background on each phase.

The six phases for the ML lifecycle referenced in this paper are illustrated in Figure 3 in a sequence.

This image shows ML Lifecycle phases

Figure 3: ML Lifecycle phases

The following sections describe the Well-Architected machine learning best practices for each of the lifecycle phases.

Note

When there is a best practice that applies to multiple pillars or phases, it is described in the pillar or phase where it makes the most impact. A complete list of the ML Lens best practices ordered by pillar instead of by ML lifecycle phase can be found in Best practices arranged by pillar.

Lifecycle phases