Backend Architecture

MovoSuite Backend (v8.2.16) is built on Azure Functions v4 with .NET 8, providing enterprise-grade automation and orchestration capabilities.

Architecture Overview

Core Technologies

• Runtime: Azure Functions v4 (Isolated Process)
• Framework: .NET 8.0
• Orchestration: Durable Functions for long-running workflows
• Messaging: Azure Service Bus for reliable message delivery
• Storage: Azure Storage for state management
• Monitoring: Application Insights for telemetry and diagnostics

Function Types

HTTP Triggered Functions

• Manual operations initiated via REST API
• Bot message processing for Teams integration
• Card action handlers for approval workflows
• On-demand data synchronization triggers

Timer Triggered Functions

• Scheduled automation (see Scheduled Actions)
• Health checks and monitoring
• Data synchronization and updates
• Queue processing

Orchestration Functions

• Complex multi-step workflows
• Deployment request processing
• Purchase request orchestration
• Device lifecycle management

Key Processors

AppListProcessor

• Synchronizes apps from Intune and VPP
• Creates install/remove groups
• Manages app metadata updates

DeviceListProcessor

• Updates managed device information
• Synchronizes enrollment status
• Manages device metadata

DeployRequestProcessor

• Handles app deployment requests
• Manages approval workflows
• Executes deployment operations

MonitoringProcessor

• Performs health checks
• Sends expiration alerts
• Monitors service health

BackupProcessor

• Device configuration backup
• Restore operations
• State management

Security Features

• Authentication: Azure AD with Bot Framework authentication
• Authorization: Role-based access control (RBAC)
• Encryption: Data encrypted at rest and in transit
• Compliance: SOC 2 and ISO 27001 compliant infrastructure

Error Handling

• Retry Logic: Exponential backoff for transient failures
• Dead Letter Queues: Failed message handling
• Circuit Breakers: Prevent cascading failures
• Comprehensive Logging: Structured logging to Application Insights

Performance Optimization

• Warm-up Functions: Keep functions responsive
• Parallel Processing: Concurrent execution where applicable
• Caching: In-memory caching for frequently accessed data
• Connection Pooling: Efficient resource utilization

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