Level 300 Visual Asset Specifications

Overview

This document provides comprehensive specifications for all 19 visual assets required for Level 300 advanced learning content. Each specification includes detailed context, design constraints, content requirements, visual elements, wireframe guidance, acceptance criteria, and Microsoft Learn adaptation references.

Total Assets: 19 (Assets 41-59)
Estimated Creation Time: 14-18 hours @ 0.75-0.95 hrs per asset
Target Format: SVG or high-resolution PNG
Status: Ready for designer/creator handoff

Module 1: Zero Trust Security for Sovereign Clouds (Assets 41-45)

Asset 41: Zero Trust Pillars & Framework

Priority: Critical
Used In: zero-trust.md (main overview section)

Context: Foundational infographic introducing the six pillars of Zero Trust security. This is the primary educational asset explaining what Zero Trust means and how it’s structured. Should serve as reference throughout the module.

Design Constraints:

Canvas: 1200×800px
Format: SVG (scalable)
Font: Microsoft Segoe UI / system sans-serif
Color Scheme: Azure Blue (#0078D4), Azure Green (#107C10), supporting neutrals
Accessibility: High contrast, readable at small sizes
Icons: Azure-style icons for each pillar

Content Requirements: Six pillars displayed horizontally or radially:

Identity - User authentication and verification
Device - Device health and compliance
Network - Secure network access
Application - App security and protection
Data - Data classification and protection
Infrastructure - Cloud infrastructure security

Each pillar should include:

Descriptive icon (Azure style)
Pillar name
1-2 sentence description
Key controls (listed below each pillar)

Visual Elements:

Horizontal bar or radial layout
Each pillar: distinct color or gradient
Icons: 48×48px Azure-style icons
Text: Pillar names 18pt, descriptions 12pt
Center: “Zero Trust” title or logo
Bottom: Legend explaining color coding

Wireframe Guidance:

Option A: Horizontal layout with pillars in row, descriptions below
Option B: Circular layout with pillars around edge, controls radiating inward
Option C: Vertical stacked layout for mobile viewing
Recommend Option A for clarity and scalability

Acceptance Criteria:

✓ All 6 pillars clearly visible and labeled
✓ Icon for each pillar matches Azure design language
✓ Descriptions concise (1-2 sentences max)
✓ Color scheme consistent with Microsoft branding
✓ Readable at 50% zoom
✓ Sufficient whitespace between elements
✓ File size < 200KB (SVG)
✓ Text selectable in SVG (not rasterized)

Microsoft Learn Adaptation:

Source: Zero Trust security model
Reference: Zero Trust implementation in Azure
Adapt: Sovereign cloud requirements from Microsoft Cloud for Sovereignty documentation

Asset 42: Sovereign Cloud Security Model Comparison

Priority: High
Used In: zero-trust.md (sovereign considerations section)

Context: Side-by-side comparison showing how Zero Trust principles differ between standard cloud and sovereign cloud environments. Differentiates additional requirements for sovereign deployments (FedRAMP, GDPR, data residency).

Design Constraints:

Canvas: 1400×700px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Standard Cloud (Blue), Sovereign Cloud (Purple/Green)
Accessibility: Clear visual distinction between columns

Content Requirements: Two-column layout comparing:

Standard Cloud Zero Trust:

Multi-tenancy considerations
Cloud provider managed controls
Regional data centers
Standard compliance (SOC 2, ISO 27001)
Shared security responsibility
Feature: ~5-7 key points

Sovereign Cloud Zero Trust:

Data residency requirements
Government compliance (FedRAMP, etc.)
Customer-controlled environments
Air-gapped capability requirements
Enhanced control/visibility
Feature: ~5-7 key points

Visual Elements:

Two columns with distinct background colors
Icons for each requirement category
Checkmarks/stars for emphasized points
Arrows showing relationships
Color coding: Blue vs. Purple/Green

Wireframe Guidance:

Header: “Standard Cloud” vs. “Sovereign Cloud”
Left column: Standard features (blue theme)
Right column: Sovereign features (purple theme)
Rows: Each requirement area (Compliance, Data, Controls, etc.)
Footer: “Sovereign clouds include ALL Standard features PLUS additional requirements”

Acceptance Criteria:

✓ Two columns clearly distinguished by color
✓ 5-7 comparison points per column
✓ Icons match comparison categories
✓ Text readable at normal zoom
✓ Visual hierarchy shows importance
✓ Arrows or callouts clarify relationships
✓ Sovereign column shows “enhanced” vs “additional”
✓ File size < 250KB

Microsoft Learn Adaptation:

Source: Microsoft Cloud for Sovereignty
Reference: Zero Trust for sovereign environments
Adapt: FedRAMP, GDPR, HIPAA specific requirements

Asset 43: Zero Trust Implementation Architecture

Priority: Critical
Used In: zero-trust-architecture.md (core architecture section)

Context: Comprehensive technical architecture showing how all Zero Trust components work together end-to-end. Shows data flows, decision points, and control enforcement. This is the primary technical reference for implementation.

Design Constraints:

Canvas: 1400×900px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Azure Blue, Green, supporting colors for different component types
Accessibility: Clear visual hierarchy, distinguishable component types

Content Requirements: End-to-end Zero Trust flow showing:

User/Device Entry (Left)
- User identity request
- Device check-in
- Compliance validation
Identity & Access Control (Center-Left)
- Identity provider
- Conditional Access rules
- Multi-factor authentication
- Risk assessment
Network & Connectivity (Center)
- Network segmentation
- Micro-segmentation
- Policy enforcement
- Traffic monitoring
Application & Data Access (Center-Right)
- Application gateway
- API security
- Data access controls
- Encryption/protection
Monitoring & Response (Right)
- Continuous monitoring
- Anomaly detection
- Threat response
- Compliance validation

Visual Elements:

Flow arrows showing data movement
Component boxes with icons
Decision diamonds for policy points
Feedback loop showing continuous monitoring
Color coding: Purple (identity), Blue (network), Green (data)
Red alert indicators for threat points

Wireframe Guidance:

Left to right flow
Vertical swim lanes for each Zero Trust pillar
Numbered steps showing sequence
Feedback loop returning to monitoring
Dense but organized layout
Key decision points clearly marked

Acceptance Criteria:

✓ All 5+ components clearly labeled
✓ Data flow direction obvious (arrows)
✓ Decision points clearly marked
✓ Color coding consistent with Asset 41
✓ Component icons distinguishable
✓ Monitoring feedback loop visible
✓ Readable at 75% zoom
✓ No crossing lines (clean topology)
✓ File size < 300KB

Microsoft Learn Adaptation:

Source: Zero Trust implementation Azure
Reference: Conditional Access architecture
Adapt: Sovereign cloud-specific components (data residency controls, compliance enforcement)

Asset 44: Defense-in-Depth Layering (Optional)

Priority: Medium
Used In: zero-trust-architecture.md (defense in depth section)

Context: Visual representation of defense-in-depth strategy using concentric circles. Shows layered security approach where multiple controls provide overlapping protection. Optional but recommended for completeness.

Design Constraints:

Canvas: 1000×800px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Gradient from outer (red/threat) to inner (blue/protected)
Accessibility: Layers clearly distinguished

Content Requirements: Concentric circles (5-7 layers) from outside to inside:

Perimeter - Network edge protection
Access - Identity and authentication
Application - App-level controls
Data - Data encryption and masking
Infrastructure - System hardening
Core - Sensitive data/assets

Each layer shows:

Layer name
Primary controls (2-3)
Protection focus
Icon representing layer

Visual Elements:

Concentric circles with gradient fill
Icons for each layer
Control types listed in each ring
Central asset/target
Color gradient: red (outer threat) to blue (protected)
Labels with descriptions

Wireframe Guidance:

Center: Target asset or “Protected Resources”
Rings expand outward: each adds protection layer
Color gradient showing increasing security depth
Arrows showing potential attack paths/deflection
Callouts showing control mechanisms

Acceptance Criteria:

✓ 5-7 layers clearly visible
✓ Layer names and controls readable
✓ Color gradient flows smoothly
✓ Icons represent protection mechanisms
✓ Central asset clearly marked
✓ Visual hierarchy emphasizes layers
✓ File size < 200KB

Microsoft Learn Adaptation:

Source: Security layering strategy
Adapt: Sovereign-specific layers and controls

Asset 45: Compliance Control Mapping (Optional)

Priority: Medium
Used In: zero-trust.md (compliance section)

Context: Matrix showing how Zero Trust security controls map to major compliance frameworks (FedRAMP, GDPR, HIPAA, ITAR, PCI DSS). Optional but valuable for compliance-focused audiences.

Design Constraints:

Canvas: 1400×800px
Format: SVG or high-res PNG matrix
Font: Microsoft Segoe UI, 10-12pt
Color Scheme: Green (mapped), Yellow (partial), Red (not mapped)
Accessibility: Legend provided, distinct colors

Content Requirements: Matrix with:

Rows: Zero Trust control domains (6-8 rows)
Columns: Compliance frameworks (5+ columns)
- FedRAMP
- GDPR
- HIPAA
- ITAR
- PCI DSS

Cells indicate:

✓ Full compliance
◐ Partial compliance
✗ Not covered

Example mappings:

Identity Management → GDPR Identity Rights, FedRAMP AC controls
Data Protection → GDPR Data Protection, HIPAA Encryption
Monitoring → All frameworks (logging requirements)

Visual Elements:

Grid layout with clear borders
Color-coded cells (Green/Yellow/Red)
Checkmark/partial/X symbols
Legend explaining color coding
Row/column headers with 14-16pt font
Footnotes for special considerations

Wireframe Guidance:

Header row: Compliance frameworks
Header column: Zero Trust domains
Body: Color-coded compliance indicators
Footer: Legend and notes
Optional: Mini-legend in corner
Table should be scannable at glance

Acceptance Criteria:

✓ All compliance frameworks clearly labeled
✓ All Zero Trust domains clearly labeled
✓ Color coding consistent and distinct
✓ Legend provided and clear
✓ Readable at 75% zoom
✓ Grid lines clear but not distracting
✓ Cells not too crowded
✓ File size < 250KB

Microsoft Learn Adaptation:

Source: Compliance frameworks documentation
FedRAMP: FedRAMP on Azure
GDPR: GDPR on Azure
HIPAA: HIPAA on Azure
ITAR: ITAR compliance

Module 2: Azure Local at Scale - Connected (Assets 46-48)

Asset 46: Multi-Site Azure Local Architectures

Priority: Critical
Used In: azure-local-multi-site.md (pattern comparison section)

Context: Three side-by-side deployment patterns for multi-site Azure Local environments: Hub-and-Spoke, Full Mesh, and Hybrid. Shows how to scale beyond single-site deployments while maintaining sovereign requirements.

Design Constraints:

Canvas: 1600×900px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Azure Blue primary, Green (on-prem), Purple (cloud)
Accessibility: Each pattern clearly distinguished

Content Requirements: Three deployment patterns displayed side-by-side:

Pattern 1: Hub-and-Spoke

Central hub (primary site)
3-4 spoke sites
All traffic through hub
Star topology
Pros: Centralized management, simpler governance
Cons: Hub becomes bottleneck

Pattern 2: Full Mesh

4-5 sites with direct connections
All sites interconnected
Peer-to-peer replication
Network density
Pros: High availability, low latency
Cons: Complex management, more bandwidth

Pattern 3: Hybrid (Hub-Mesh)

Central hub + selective mesh connections
Primary connections through hub
Optional site-to-site links
Balanced approach
Pros: Flexibility, better redundancy
Cons: Configuration complexity

Visual Elements:

Three separate diagrams
Nodes representing sites/clusters
Arrows showing connections
Different line styles (solid/dashed) for connection types
Color-coded regions (on-prem vs cloud)
Metadata: Site count, bandwidth, latency indicators
Icons: Azure Local (on-prem), Cloud (optional)

Wireframe Guidance:

Top: Pattern name and number (1-3)
Middle: Topology diagram
Bottom: Key metrics (bandwidth, latency, scalability)
Right side: Pros/Cons for each
Optional: “Recommended Use” callout

Acceptance Criteria:

✓ Three patterns clearly distinguished
✓ Nodes labeled (Site 1, Site 2, etc.)
✓ Connection types clear (solid/dashed/color)
✓ Cloud vs on-prem regions distinguished
✓ Topology clearly shows data flow
✓ Metadata readable
✓ Pros/cons concise and accurate
✓ File size < 400KB

Microsoft Learn Adaptation:

Source: Azure Local deployment patterns
Reference: Multi-site Azure Local deployments
Adapt: Sovereign-specific bandwidth and latency considerations

Asset 47: Connected Mode Update Management

Priority: High
Used In: azure-local-advanced-connected.md (updates section)

Context: Process flow showing how updates propagate through connected Azure Local environments. Shows the update pipeline from Microsoft cloud through central hub to distributed sites. Essential for operations understanding.

Design Constraints:

Canvas: 1200×800px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Blue (stages), Green (success), Orange (in-progress)
Accessibility: Clear flow direction

Content Requirements: Update pipeline with stages:

Update Available (Cloud)
- Microsoft publishes update
- Staged rollout initiation
Hub Receives (Primary Site)
- Update downloaded to hub
- Validation begins
- Notifications sent
Validation (Hub)
- Automated testing
- Health checks
- Compliance validation
Distribution (All Sites)
- Parallel deployment to spokes
- Staggered rollout
- Monitoring per site
Verification (All Sites)
- Post-update validation
- Health status checks
- Rollback if needed
Complete (All Spokes)
- Update complete across fleet
- Status reported to hub
- Logs archived

Visual Elements:

Horizontal flow with stages
Stage boxes with icons
Arrows showing progression
Timeline/duration for each stage
Branching to multiple spokes (parallel processing)
Status indicators (pending/in-progress/complete)
Feedback loop for rollback

Wireframe Guidance:

Left to right flow
Cloud on left, sites on right
Time progression along top
Each stage: description + duration
Parallel branches show simultaneous updates
Rollback arrow returning to previous state
Legend for symbols

Acceptance Criteria:

✓ All 6+ stages clearly labeled
✓ Flow direction obvious (left to right)
✓ Parallel processing visible
✓ Timeline or duration indicators
✓ Rollback path visible
✓ Stage descriptions concise
✓ Icons distinguish stages
✓ File size < 250KB

Microsoft Learn Adaptation:

Source: Azure Local update management
Reference: Update strategies for connected environments
Adapt: Sovereign-specific update windows and compliance

Asset 48: Advanced Networking Topology (Optional)

Priority: Medium
Used In: azure-local-networking-advanced.md (topology section)

Context: Detailed network diagram showing advanced networking for multi-site Azure Local deployment. Shows security zones, VLANs, network flows, and security controls. Optional but valuable for network architects.

Design Constraints:

Canvas: 1400×900px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Zone-based coloring (Blue/Green/Orange/Red)
Accessibility: Zone colors distinguishable, clear boundaries

Content Requirements: Multi-site network topology with:

Three Sites:

Site 1 (Hub)
Site 2 (Spoke)
Site 3 (Spoke)

Security Zones:

External Zone (Internet) - Red
DMZ Zone - Orange
Internal Zone - Green
Data Zone - Blue

Components per Site:

Ingress/Egress controls
Firewall
Load Balancer
Azure Local Cluster
Storage
Management network
Out-of-band management

Connections:

Inter-site WAN links
Internet connectivity (optional)
Management traffic paths
Data replication paths

Visual Elements:

Rectangular zone containers
Color-coded by security level
Component icons (firewall, LB, etc.)
Solid/dashed lines for different traffic types
Arrows showing traffic direction
Security control labels
Bandwidth/latency labels on links

Wireframe Guidance:

Three sites arranged in triangle or line
Zones shown as nested rectangles
Components inside zones
Lines connecting components
Legend: Zone types, line types, security controls
Optional: Legend in corner or separate

Acceptance Criteria:

✓ Three sites clearly displayed
✓ Security zones distinguished by color
✓ All key components labeled
✓ Traffic types distinguished (line style)
✓ Control points marked
✓ Readable at 75% zoom
✓ No overlapping elements
✓ File size < 350KB

Microsoft Learn Adaptation:

Source: Azure Local networking
Reference: Security controls for Azure Local
Adapt: Sovereign network security requirements

Module 3: Azure Local at Scale - Disconnected (Assets 49-51)

Asset 49: Air-Gapped Architecture Pattern

Priority: Critical
Used In: azure-local-air-gapped.md (core architecture section)

Context: Complete air-gapped Azure Local deployment architecture. Shows isolated network zones, air-gap boundaries, secure transfer mechanisms, and component interactions. Essential reference for disconnected operations.

Design Constraints:

Canvas: 1400×900px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Blue (internal), Red (boundary), Gray (isolated)
Accessibility: Air-gap boundaries clearly visible

Content Requirements: Complete air-gapped system showing:

External Zone (Outside Air-Gap) - Red Boundary:

Internet/WAN
Update source (Microsoft or partner)
Management portal (optional)

Secure Transfer Point:

Secure transfer mechanism
Staged update preparation
Cryptographic validation

Internal Zone (Isolated) - Blue Boundary:

Azure Local Cluster
Storage systems
Workload systems
Management nodes
Out-of-band management

Monitoring & Logging:

Local monitoring
Log aggregation
Compliance tracking
Alert systems (local only)

Manual Procedures:

Update transfer process
Certificate rotation process
Backup procedures
Configuration changes

Visual Elements:

Red circle/boundary for air-gap
Internal components inside boundary
External components outside
Dashed lines for allowed connections
Solid red lines for boundary points
Arrow showing secure transfer
Component icons
Control labels
Legend

Wireframe Guidance:

Air-gap boundary as prominent red circle
External zone clearly separated
Internal zone dense with components
Secure transfer point marked at boundary
Arrows showing allowed data flow
Manual process callouts
All components labeled

Acceptance Criteria:

✓ Air-gap boundary clearly visible
✓ Internal zone isolated (red boundary)
✓ All major components labeled
✓ Secure transfer mechanism shown
✓ External and internal zones distinguished
✓ Control points marked
✓ Readable at 75% zoom
✓ File size < 350KB

Microsoft Learn Adaptation:

Source: Disconnected operations for Azure Local
Reference: Air-gapped deployment patterns
Adapt: Sovereign compliance for air-gapped systems

Asset 50: Manual Update Flow - Disconnected

Priority: High
Used In: azure-local-advanced-disconnected.md (manual updates section)

Context: Step-by-step process showing how updates are manually transferred to air-gapped Azure Local environments. Shows export from cloud, transfer mechanism, and import procedure. Critical for understanding disconnected operations.

Design Constraints:

Canvas: 1200×900px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Blue (export), Orange (transfer), Green (import)
Accessibility: Clear phase distinction

Content Requirements: Three-phase update process:

Phase 1: Export (On Internet-Connected System)

Connect to Azure/Update source
Download update package
Validate cryptographic signature
Create offline package
Prepare for transfer

Phase 2: Secure Transfer (Between Systems)

Copy to secure transfer media (USB/drive)
Physical transportation
Antivirus scanning (optional)
Hash verification

Phase 3: Import (Air-Gapped System)

Connect media to air-gapped system
Validate signature and hash
Extract update package
Validate compliance and dependencies
Stage update
Apply update with verification
Restart services
Verify health and status

Visual Elements:

Three columns for phases
Computer icons showing source/target
Arrows showing data/media movement
Numbered steps in each phase
Checkpoints for validation
Color coding: Blue (export), Orange (transfer), Green (import)
Icons: USB drive, firewall, verification checks

Wireframe Guidance:

Left to right flow (Export → Transfer → Import)
Three main sections with phase titles
Numbered steps 1-12+ under each phase
Validation checkpoints marked
Color-coded sections
Computer/system icons at top/bottom
Transfer media highlighted

Acceptance Criteria:

✓ Three phases clearly distinguished
✓ All steps numbered and visible
✓ Transfer method shown
✓ Validation points marked
✓ Color coding consistent
✓ Icons distinguish systems and actions
✓ Readable at 75% zoom
✓ File size < 300KB

Microsoft Learn Adaptation:

Source: Manual update procedures for disconnected Azure Local
Reference: Certificate and update management
Adapt: Sovereign compliance for update transfers

Asset 51: Certificate Lifecycle Management (Optional)

Priority: Medium
Used In: azure-local-certificate-management.md (lifecycle section)

Context: Timeline showing certificate lifecycle in disconnected Azure Local environments. Shows issue date, validity periods, renewal windows, and key procedures. Optional but valuable for operations planning.

Design Constraints:

Canvas: 1200×700px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Green (valid), Yellow (renewal), Red (expired)
Accessibility: Timeline clear, color-coded status

Content Requirements: Timeline spanning 3-year period showing:

Initial Issue:

Certificate issued
Validity date: Now to Now+3 years
Type: System/Service certificate

Timeline Milestones:

Month 0: Issue (Green)
Month 24: Renewal window opens (Yellow)
Month 28: Renewal recommended (Yellow)
Month 35: Certificate expires (Red)

Key Events:

Issue date marker
Renewal window (6-month)
Expiration deadline
Post-expiration (red X)

Actions at Each Stage:

Issue: Deploy to systems
Month 12: Monitor validity
Month 24: Begin renewal process
Month 28-32: Complete renewal and deploy
Month 35+: Certificate invalid

Visual Elements:

Horizontal timeline
Colored zones: Green/Yellow/Red
Key milestone markers
Text labels for events
Action callouts
Legend explaining colors
Date markers on timeline

Wireframe Guidance:

Top: Certificate name
Middle: Horizontal timeline with color zones
Bottom: Key milestones and actions
Optional: Renewal window highlighted
Optional: Risk indicators

Acceptance Criteria:

✓ Timeline clear and readable
✓ Color zones distinct (Green/Yellow/Red)
✓ Key milestones marked
✓ Renewal window visible
✓ Actions listed for each phase
✓ Date markers readable
✓ Legend provided
✓ File size < 200KB

Microsoft Learn Adaptation:

Source: Certificate lifecycle in Azure Local
Adapt: Sovereign compliance requirements for certificates

Module 4: Production Edge RAG Deployment (Assets 52-56)

Asset 52: Production Edge RAG Architecture

Priority: Critical
Used In: edge-rag-architecture-production.md (core architecture section)

Context: Enterprise-scale production Edge RAG architecture showing high availability, load balancing, multi-model support, and monitoring. Shows all production-grade components and their interactions.

Design Constraints:

Canvas: 1600×950px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Azure Blue (core), Green (data), Purple (AI)
Accessibility: Component types distinguishable

Content Requirements: Production-scale RAG showing:

Input Layer:

Multiple document sources
Batch ingestion pipeline
Real-time ingestion
Quality validation

Processing Layer:

Load balancer
Model serving endpoints (multiple)
Embedding generation (scaled)
Vector database with replication
Cache layer

Intelligence Layer:

Multi-model LLM serving
Model ensemble option
Routing logic
Fallback mechanisms

Output Layer:

Response generation
Result formatting
Source attribution
Quality scoring

Observability:

Monitoring/metrics collection
Logging aggregation
Performance tracking
Cost tracking

Visual Elements:

Boxes for components
Arrows showing data flows
Component types: Color-coded
Icons: Documents, servers, models, etc.
Load balancer symbol (standard)
Database icons
Monitoring dashboard symbol
Redundancy indicators (double icons)

Wireframe Guidance:

Top: Data sources and ingestion
Left side: Processing pipeline
Center: Intelligence/RAG core
Right side: Output and response
Bottom: Monitoring/observability
Flows shown with arrows
Redundancy shown with parallel components

Acceptance Criteria:

✓ All major components labeled
✓ Data flows clear (arrows)
✓ Redundancy obvious (parallel components)
✓ Component types distinguishable by color/icon
✓ Load balancing shown
✓ Monitoring tier included
✓ Readable at 75% zoom
✓ File size < 450KB

Microsoft Learn Adaptation:

Source: Production RAG deployment patterns
Reference: High-availability patterns on Azure
Adapt: Edge-specific availability patterns

Asset 53: Model Optimization Pipeline

Priority: High
Used In: edge-rag-optimization.md (optimization techniques section)

Context: Process flow showing model optimization pipeline stages. Shows how models progress through quantization, distillation, and batching optimizations. Essential for performance optimization understanding.

Design Constraints:

Canvas: 1400×800px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Blue (input), Orange (processing), Green (output)
Accessibility: Clear stage distinction

Content Requirements: Optimization pipeline stages:

Stage 1: Model Analysis

Profile model performance
Identify bottlenecks
Measure baseline metrics
Size constraints

Stage 2: Quantization

FP32 → FP16 or INT8
Accuracy impact assessment
Validation and testing
Performance improvement measurement

Stage 3: Distillation (Optional)

Knowledge transfer to smaller model
Teacher-student training
Size reduction
Inference optimization

Stage 4: Pruning (Optional)

Remove unnecessary weights
Sparsity optimization
Accuracy validation
Size reduction

Stage 5: Compilation

Convert to optimized format
Platform-specific optimization
Memory optimization
Final validation

Stage 6: Deployment

Deploy to edge hardware
Performance validation
Monitoring setup
Production readiness

Visual Elements:

Boxes for stages
Arrows showing progression
Metrics for each stage (size, latency, accuracy)
Icons for optimization types
Feedback loops for validation
Color coding: Blue (input) → Orange (processing) → Green (output)
Optional: Decision points for optional stages

Wireframe Guidance:

Left to right progression
Each stage: Name, description, metrics
Parallel optional paths (distillation, pruning)
Feedback/validation loops
Final deployment stage highlighted
Metrics shown at each stage

Acceptance Criteria:

✓ All 6 stages clearly labeled
✓ Flow direction obvious
✓ Metrics shown for each stage
✓ Optional stages clearly marked
✓ Decision points shown
✓ Feedback loops visible
✓ Icons distinguish optimization types
✓ File size < 300KB

Microsoft Learn Adaptation:

Source: Model optimization techniques
Reference: Edge AI model optimization
Adapt: Edge RAG-specific optimizations

Asset 54: MLOps at the Edge Workflow

Priority: Critical
Used In: edge-rag-mlops.md (MLOps workflow section)

Context: Complete MLOps workflow cycle for Edge RAG systems. Shows continuous improvement cycle from monitoring through retraining. Essential for understanding production lifecycle management.

Design Constraints:

Canvas: 1400×900px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Azure Blue (main), Green (success), Orange (issues)
Accessibility: Cycle flow obvious

Content Requirements: MLOps cycle with stages:

Stage 1: Monitoring & Evaluation

Production inference
Performance metrics collection
Accuracy tracking
Latency monitoring
Cost tracking
User feedback collection

Stage 2: Analysis

Performance degradation detection
Root cause analysis
Data drift detection
Model drift detection
Trend analysis

Stage 3: Model Improvement

Retraining triggers
New training data gathering
Model update/retraining
Optimization
Testing

Stage 4: Validation & Testing

Accuracy validation
Performance testing
Regression testing
A/B testing setup
Approval gates

Stage 5: Deployment

Canary deployment
Progressive rollout
Monitoring during rollout
Rollback capability

Stage 6: Feedback Loop

Gather production feedback
Performance baselines
User satisfaction metrics
Return to monitoring

Visual Elements:

Circular workflow (cycle)
Six main stages in boxes
Arrows showing progression and feedback
Metrics and decision points
Icons for each stage
Color coding: Monitoring (Blue), Improvement (Orange), Deployment (Green)
Central “Production System” circle

Wireframe Guidance:

Circular layout with 6 stages
Center: “Production Edge RAG System”
Outer ring: Lifecycle stages
Arrows showing cycle progression
Metrics shown at each stage
Decision points and gates
Feedback loops back to monitoring

Acceptance Criteria:

✓ Six stages clearly labeled
✓ Circular flow obvious
✓ Metrics shown at each stage
✓ Decision gates marked
✓ Feedback loops visible
✓ Arrows show progression and cycles
✓ Central system clear
✓ File size < 350KB

Microsoft Learn Adaptation:

Source: MLOps and ML lifecycle
Reference: Continuous integration and deployment for ML
Adapt: Edge and disconnected environment considerations

Asset 55: Performance Monitoring Dashboard (Optional)

Priority: Medium
Used In: edge-rag-production.md (monitoring section)

Context: Reference dashboard mockup showing key metrics for monitoring production Edge RAG systems. Shows what metrics should be tracked, how to visualize them. Optional but valuable for operations guidance.

Design Constraints:

Canvas: 1600×900px
Format: SVG or mockup
Font: Microsoft Segoe UI
Color Scheme: Dashboard theme (dark/light neutral with accent colors)
Accessibility: Charts readable, metrics clear

Content Requirements: Dashboard with key metric panels:

Section 1: System Health (Top)

CPU utilization gauge (%)
Memory utilization gauge (%)
Model serving instances (count)
Uptime percentage

Section 2: Model Performance (Upper Middle)

Inference latency (p50, p95, p99)
Throughput (queries/sec)
Model accuracy trend
Hallucination rate

Section 3: Business Metrics (Lower Middle)

Query volume (daily trend)
Cost per query
User satisfaction (average rating)
SLA compliance (%)

Section 4: Alerts & Trends (Bottom)

Recent alerts list
Performance trend (7-day)
Cost trend
Model drift indicator

Visual Elements:

Gauge charts for utilization
Line charts for trends
Bar charts for comparisons
Alert indicators (red/yellow/green)
Metric values (large, readable)
Sparklines showing trends
Legend and units
Timestamp

Wireframe Guidance:

Dashboard layout with 4 main sections
Top: System health gauges
Upper middle: Model performance metrics
Lower middle: Business metrics
Bottom: Alerts and trends
Color coding: Green (healthy), Yellow (warning), Red (alert)
Responsive layout

Acceptance Criteria:

✓ All key metrics visible
✓ Metric values readable
✓ Trend data shown
✓ Alert indicators clear
✓ Color coding consistent
✓ Gauges/charts appropriate for metric
✓ Layout scannable at glance
✓ File size < 400KB

Microsoft Learn Adaptation:

Source: Application Insights dashboards
Reference: Custom metrics and monitoring
Adapt: Edge and edge RAG-specific metrics

Asset 56: Multi-Model Deployment Pattern (Optional)

Priority: Medium
Used In: edge-rag-architecture-production.md (multi-model section)

Context: Advanced deployment pattern showing multiple language models for different use cases/domains. Shows model routing, fallback logic, and resource sharing. Optional but valuable for advanced deployments.

Design Constraints:

Canvas: 1400×850px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Azure Blue (routing), Purple (models), Green (output)
Accessibility: Model types distinguishable

Content Requirements: Multi-model system with:

Model Instances:

Model 1: General-purpose LLM (Large)
Model 2: Domain-specific model (Smaller)
Model 3: Fast inference model (Quantized)
Model 4: Specialized model (Task-specific)

Routing Layer:

Query analysis
Intent classification
Model selection logic
Fallback routing

Execution:

Parallel inference capability
Load distribution
Resource allocation
Quality scoring

Output:

Result aggregation
Confidence scoring
Response formatting
Source attribution

Visual Elements:

Query entry point
Routing decision box
Multiple model boxes (different sizes/colors)
Arrows showing routing paths
Load distribution indicators
Output aggregation box
Fallback arrows
Resource/cost indicators

Wireframe Guidance:

Left: Query input
Center-left: Routing logic
Center: Model instances (multiple)
Right: Output aggregation
Top: Resource monitors
Bottom: Fallback paths
Flows clear and distinct

Acceptance Criteria:

✓ All models labeled and distinguished
✓ Routing logic shown
✓ Load distribution visible
✓ Fallback paths marked
✓ Output aggregation clear
✓ Resource indicators present
✓ Readable at 75% zoom
✓ File size < 350KB

Microsoft Learn Adaptation:

Source: Model serving and orchestration
Adapt: Edge-specific model deployment patterns

Module 5: Advanced Troubleshooting (Assets 57-59)

Asset 57: Troubleshooting Decision Tree

Priority: High
Used In: troubleshooting.md (diagnostic process section)

Context: Decision tree flowchart helping users diagnose common production issues. Starts with symptom description, branches based on answers, and leads to specific troubleshooting steps or escalation paths.

Design Constraints:

Canvas: 1400×1000px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Blue (decision), Green (resolution), Red (escalate)
Accessibility: Flow clear, text readable

Content Requirements: Decision tree with branches:

Root Question: “What is the primary symptom?”

Main Branches:

Branch 1: Performance Issues

Questions: Latency high? Throughput low? CPU high?
Sub-branches: Query specific or system-wide?
Resolution: Optimization techniques or scaling
Escalation: If unknown root cause

Branch 2: Connectivity Issues

Questions: Cloud connection down? Node unreachable? Network latency high?
Sub-branches: Single node or all? Internet-dependent?
Resolution: Network diagnostics
Escalation: If root cause not found

Branch 3: Model Issues

Questions: Accuracy degraded? Hallucinations increased? Inference failing?
Sub-branches: Sudden change or gradual? All queries or specific types?
Resolution: Model retraining, rollback, or optimization
Escalation: If model drift unclear

Branch 4: Data/Compliance Issues

Questions: Data sync problems? Compliance violation? Audit log issue?
Sub-branches: Localized or system-wide?
Resolution: Data validation, compliance checks
Escalation: If issue persists

Branch 5: Certificate/Security Issues

Questions: SSL/TLS error? Authentication failing? Certificate expired?
Sub-branches: Specific service or system-wide?
Resolution: Certificate management procedures
Escalation: If security implications unclear

Visual Elements:

Tree structure flowing top to bottom
Diamond shapes for decision points
Rectangular boxes for resolutions
Red boxes for escalation
Arrows showing decision paths
Yes/No labels on branches
Icons for symptom types
End-points clearly marked

Wireframe Guidance:

Top: “Troubleshooting Decision Tree”
First decision: “What is the primary symptom?”
Five main branches from first decision
Each branch subdivides based on follow-up questions
Leaf nodes: Resolution or escalation
All paths converge to resolution or escalation

Acceptance Criteria:

✓ Root question clear
✓ Five main symptom branches
✓ Decision points have yes/no clarity
✓ All paths lead to resolution or escalation
✓ Text concise at each node
✓ Color coding: Blue/Green/Red appropriate
✓ Tree is balanced (not too deep)
✓ File size < 400KB

Microsoft Learn Adaptation:

Source: Troubleshooting methodology
Adapt: Azure Local, Arc, and Edge RAG-specific symptoms

Asset 58: Log Analysis and Diagnostic Tools Reference

Priority: High
Used In: troubleshooting-tools.md (tools reference section)

Context: Reference matrix showing diagnostic tools, log locations, and common commands for troubleshooting Azure Local, Arc, and Edge RAG components. Quick reference for operations teams.

Design Constraints:

Canvas: 1600×900px
Format: SVG or high-res PNG table
Font: Microsoft Segoe UI Mono (for commands), 10-12pt
Color Scheme: Component-based colors (Blue/Green/Orange/Purple)
Accessibility: Legend provided, distinct sections

Content Requirements: Matrix with columns:

Row Headers (Components):

Azure Local Cluster
Azure Arc
Edge RAG System
Network/Connectivity
Certificates/Security
Updates/Patches

Column Headers:

Component/Issue
Primary Log Location
Key Commands
Expected Output
Alert Indicators
Escalation Triggers

Example Rows:

Azure Local Cluster Performance:

Log: /var/log/azure-local/performance.log
Commands: az-local status, az-local metrics
Expected: System healthy, metrics within bounds
Alerts: High CPU > 85%, Memory > 90%
Escalate: If issue persists > 30 minutes

Arc Connectivity:

Log: /var/log/arc/connectivity.log
Commands: az arcdata dc status, network ping tests
Expected: Connection stable, latency < 100ms
Alerts: Connection intermittent, latency spikes
Escalate: If unable to reach cloud > 10 minutes

Visual Elements:

Grid layout with clear borders
Color-coded by component type
Icons for component types
Code blocks for commands (monospace font)
Alert indicators (warning symbols)
Row highlighting for emphasis
Legend in corner
Timestamp notation

Wireframe Guidance:

Header row: Column names
Header column: Components
Body: Reference data
Color coding distinguishes components
Commands in monospace font
Easy to scan vertically by component
Easy to scan horizontally by information type

Acceptance Criteria:

✓ All components covered
✓ Log locations accurate
✓ Commands accurate and tested
✓ Color coding consistent
✓ Table readable at 75% zoom
✓ Monospace font for commands
✓ Alert indicators clear
✓ File size < 400KB

Microsoft Learn Adaptation:

Source: Troubleshooting Azure resources
Reference: Azure Local diagnostics
Adapt: Edge RAG and disconnected environment diagnostics

Asset 59: Support Escalation Workflow (Optional)

Priority: Medium
Used In: troubleshooting-escalation.md (escalation procedures section)

Context: Process showing when and how to escalate issues to support. Shows escalation criteria, information collection requirements, and contact procedures. Optional but valuable for operations procedures.

Design Constraints:

Canvas: 1200×800px
Format: SVG
Font: Microsoft Segoe UI
Color Scheme: Green (self-serve), Yellow (escalate), Red (critical)
Accessibility: Escalation levels clear

Content Requirements: Escalation workflow with levels:

Level 1: Internal Troubleshooting (30 min)

Self-serve diagnostics
Check logs and status
Verify configurations
No escalation needed if resolved

Level 2: Internal Escalation (1 hour)

Escalate to internal team
Collect diagnostic data
Run additional diagnostics
No external escalation if resolved

Level 3: Microsoft Support (Tier 1)

Contact Microsoft support
Provide diagnostic package
Describe issue details
Support level: Standard/Premium

Level 4: Microsoft Support (Tier 2)

Escalate to engineering team
Provide additional data
Collaborate on root cause
Support level: Premier/Enterprise

Level 5: Critical Escalation

Production down scenarios
Security incidents
Compliance violations
Immediate escalation

Visual Elements:

Five levels shown vertically
Time/duration for each level
Escalation criteria bullets
Information required for each level
Contact methods
Color coding: Green/Yellow/Red
Icons for escalation levels
Decision points

Wireframe Guidance:

Vertical flow (Level 1 → 5)
Each level: Title, time, criteria, contact
Color progression: Green (start) → Yellow (escalate) → Red (critical)
Information requirements listed
Contact details on right
Decision points clear

Acceptance Criteria:

✓ Five levels clearly distinguished
✓ Time expectations shown
✓ Escalation criteria clear
✓ Contact methods provided
✓ Information requirements listed
✓ Color coding appropriate
✓ Flow obvious (top to bottom)
✓ File size < 250KB

Microsoft Learn Adaptation:

Source: Azure support and troubleshooting
Reference: Support plans and SLAs
Adapt: Azure Local and edge-specific support procedures

Asset Summary

Asset #	Name	Priority	Module	Estimated Hours	Status
41	Zero Trust Pillars & Framework	Critical	1	0.8	📋 Ready
42	Sovereign Cloud Security Model	High	1	0.9	📋 Ready
43	Zero Trust Implementation Architecture	Critical	1	1.0	📋 Ready
44	Defense-in-Depth Layering	Medium	1	0.8	📋 Optional
45	Compliance Control Mapping	Medium	1	0.9	📋 Optional
46	Multi-Site Azure Local Architectures	Critical	2	1.0	📋 Ready
47	Connected Mode Update Management	High	2	0.9	📋 Ready
48	Advanced Networking Topology	Medium	2	1.0	📋 Optional
49	Air-Gapped Architecture Pattern	Critical	3	1.0	📋 Ready
50	Manual Update Flow - Disconnected	High	3	0.95	📋 Ready
51	Certificate Lifecycle Management	Medium	3	0.8	📋 Optional
52	Production Edge RAG Architecture	Critical	4	1.1	📋 Ready
53	Model Optimization Pipeline	High	4	0.95	📋 Ready
54	MLOps at the Edge Workflow	Critical	4	1.0	📋 Ready
55	Performance Monitoring Dashboard	Medium	4	1.0	📋 Optional
56	Multi-Model Deployment Pattern	Medium	4	0.95	📋 Optional
57	Troubleshooting Decision Tree	High	5	0.9	📋 Ready
58	Log Analysis and Diagnostic Tools	High	5	1.0	📋 Ready
59	Support Escalation Workflow	Medium	5	0.8	📋 Optional

Total Assets: 19
Critical/High Priority: 13 (ready for immediate creation)
Medium/Optional: 6 (ready for creation after critical assets)
Total Estimated Hours: 14-18 hours (creator dependent)
Recommended Approach: Create Critical/High assets first (12-14 hrs), then Optional assets (2-4 hrs)

Document Created: October 21, 2025
Status: Visual Asset Specifications Complete - Ready for Content Integration Next Step: Step 3 - Create content files and add placeholder callouts