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Introduction
Architecture practices
Architectural foundations
Introduction and scope
Architectural approaches
Design principles
Choosing architecture components
Extend ArcGIS with SDKs and APIs
Environment isolation
Deployment concepts and approaches
Virtualization and ArcGIS Enterprise
VDI and ArcGIS Pro
Cloud services and providers
Working in secure environments
Enterprise and cloud migration
DNS, naming, and URLs
Forward proxies
Mobile app deployment
Diagramming resources
Architecting for success
Build and manage a GIS program
Define and implement a geospatial strategy
Content and data governance
Staff roles, development, and training
Collaboration approaches and recommendations
Capability delivery
Change management
Application implementation strategy
Upgrades and patching
Automation
Automation pillar
Automate ArcGIS software deployment
Infrastructure as code and DevOps
Automation with ArcGIS Pro
Automation with ArcGIS Enterprise
Automation with ArcGIS Online
Workflow automation
Integration
Integration pillar
Integration approaches and methods
Integrate with external systems
Understand webhooks
API management
Data pipelines and ETLs
Data lakes and data warehouses
Knowledge graphs
Observability
Observability pillar
Monitor system performance
Define and capture telemetry
Performance and scalability
Performance and scalability pillar
Optimize apps, data, and services
Workload separation
Design an effective test strategy
Tools for performance testing
Reliability
Reliability pillar
Load balancing and reverse proxies
High availability
Backups and disaster recovery
ArcGIS and IT infrastructure monitoring
Security
Security pillar
Authentication models and providers
Authorization and access models
Multi-factor authentication
Secure network design
Zero trust architecture
Securing public data
PKI and client certificates
Effective security scanning
Identity-aware proxies
Web application firewalls
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