Best practices by ML lifecycle phase
There are six phases in the machine learning lifecycle and within each there are six pillars of the Well-Architected Framework. The following index lists the best practices by lifecycle phase.
Business goal identification phase
Operational excellence pillar
Security pillar
Reliability pillar
There are no reliability pillar best practices for business goal identification.
Performance efficiency pillar
Cost optimization pillar
Sustainability pillar
ML problem framing phase
Operational excellence pillar
Security pillar
Reliability pillar
Performance efficiency pillar
Cost optimization pillar
Sustainability pillar
Data processing phase
Operational excellence pillar
Security pillar
Reliability pillar
Performance efficiency pillar
Cost optimization pillar
Sustainability pillar
Model development phase
Operational excellence pillar
Security pillar
Reliability pillar
Performance efficiency pillar
Cost optimization pillar
Sustainability pillar
Model deployment phase
Operational excellence pillar
Security pillar
Reliability pillar
Performance efficiency pillar
Cost optimization pillar
Sustainability pillar
Model monitoring phase
Operational excellence pillar
Security pillar
Reliability pillar
Performance efficiency pillar
Cost optimization pillar
Sustainability pillar
