AWS Well-Architected AI/ML Lens - Applying Best Practices to Machine Learning
The AWS ML Lens extends the Well-Architected Framework to cover ML lifecycle phases, ML pipeline automation, model security, inference …
Well-Architected
Cost Optimization (Well-Architected Pillar)
The Well-Architected pillar covering right-sizing, reserved capacity, spot instances, and cost allocation - and how it applies to AI …
Operational Excellence (Well-Architected Pillar)
The Well-Architected pillar covering runbooks, automation, observability, incident response, and continuous improvement - and how it applies …
Performance Efficiency (Well-Architected Pillar)
The Well-Architected pillar covering compute selection, storage, database, and networking choices - and how it applies to AI workloads …
Reliability (Well-Architected Pillar)
The Well-Architected pillar covering fault tolerance, disaster recovery, health checks, and scaling - and how it applies to AI workloads …
Security (Well-Architected Pillar)
The Well-Architected pillar covering IAM, encryption, network security, and detection - and how it applies to AI workloads including …
Sustainability (Well-Architected Pillar)
The Well-Architected pillar added in 2021 covering efficient resource usage, managed services, and data lifecycle management - and how it …
The Well-Architected Framework - Why Every Cloud Provider Has One
What the Well-Architected Framework is, its origins at AWS, how Azure and GCP adopted it, its six pillars, and why it matters especially for …
Well-Architected Framework
The cloud architecture review methodology used by AWS, Azure, and Google Cloud to evaluate workloads against proven best practices across …