DRAFT: Extend Industry Well-Architected Frameworks to focus on Data and business outcomes. Addition of Data to the cloud framework will resolve fragmented approaches that customers are struggling with respect to data placement within various cloud providers.

1. THANKYOU!Well-Architected Framework
A Data CentricView
2021 01 16 – R1
@CraigMilroy

2. Well-Architected Framework
@CraigMilroy
Cost Operations SecurityPerformance Reliability
Data

3. Well-Architected Frameworks Compared
Provider Cost Operations
Performan
ce
Reliability Security Data Analytics
Machine
Learning
Azure Cost Optimization
Operational
Excellence
Performance
Efficiency
Reliability Security ***
N/A N/A
AWS Cost Optimization
Pillar
Operational
Excellence Pillar
Performance
Efficiency Pillar
Reliability Pillar Security Pillar ** ** Analytics Lens
Machine Learning
Lens
GCP
Cloud
Performance and
Cost Optimization
Operational
Excellence
* Reliability
Security, Privacy
and Compliance
N/A N/A N/A
@CraigMilroy
* Contained within Performance and Cost Optimization
** General Design Guidelines embedded within Analytics Len
***Partially contained within Security

4. Well-Architected Frameworks Compared
Capability Azure AWS GCP Cloud
Cost Managing costs to maximize the value delivered. Avoiding unnecessary costs
How to balance performance and cost
your deployments
Operations
Operations processes that keep a system running
production.
running and monitoring systems to deliver
value, and continually improving processes and
procedures.
Efficiently running, managing, and monitoring
that deliver business value
Performance The ability of a system to adapt to changes in load.
Ensuring a workload performs its intended function
correctly and consistently when it’s expected to
* Contained within Performance and Cost
Optimization
Reliability
The ability of a system to recover from failures and
continue to function.
Ensuring a workload performs its intended function
correctly and consistently when it’s expected to
Technical and procedural requirements to architect
and operate reliable services on Google Cloud
Security Protecting applications and data from threats. Protecting information and systems.
Security controls, approach privacy, and how to
with Google Cloud compliance levels
Data ***Partially contained within Security
** Partially contained within Security and Analytics
Lens
N/A
Analytics N/A
Conceptual “layers” allows appropriate access
pipelines, Extract, Transform, and Load (ETL)
and integrations
N/A
Machine Learning N/A
Levels of abstraction to balance speed to market
level of customization and ML skill level: AI
ML Services, ML Frameworks and Infrastructure
N/A
@CraigMilroy

5. @CraigMilroy
Cost
Operations
Security
Performance
Reliability
Data
Well-Architected Framework: Data Capabilities
• Data Governance
• Data Ingestion, Integration,
Pipelines
• Data Modeling
• DataOps
• Data Platform
• Data Quality
• Data Security, Privacy,
Compliance
• Data Storage
• Data Zones
• Metadata – Business Glossary
/Catalog
• Reference & Master Data
•Business Insights &
Outcomes
• App/Dev Operational
• Artificial Intelligence
• Business Intelligence
• Data Science
• Machine Learning
Required Defined Data Capabilities

6. THANKYOU!Well-Architected Framework
A Data CentricView
2020 01 16 – R1
@CraigMilroy