Deployment & Architecture

VIDIZMO supports nine deployment models to fit any infrastructure and compliance requirement.

• SaaS Shared -- multi-tenant
• SaaS Dedicated -- single-tenant
• SaaS FedRAMP -- High via ProjectHost
• On-premises
• Private cloud
• Hybrid
• BYOC -- Bring Your Own Cloud
• Air-gapped -- fully disconnected
• Containerized -- Docker/Kubernetes

VIDIZMO supports multiple cloud platforms with Microsoft Azure as the primary cloud.

• Microsoft Azure -- primary cloud with PaaS services
• Azure Government Cloud -- CJIS/FedRAMP workloads
• AWS and AWS GovCloud -- full support
• Google Cloud Platform -- infrastructure-level deployments
• Oracle Cloud -- infrastructure-level deployments

Shared SaaS provisions in approximately 30 seconds via self-service. Dedicated deployments take approximately 4 hours. On-premises and private cloud vary by complexity, typically days to weeks depending on infrastructure readiness.

FedRAMP High compliance through hosting on ProjectHost's FedRAMP-authorized environment. Actively used for VA and other federal deployments requiring the highest security tier for federal cloud operations.

A fully disconnected installation with no internet connectivity designed for defense, intelligence, and classified networks. All AI processing runs locally on-premises using self-hosted LLMs, and no data leaves the environment.

Docker and Kubernetes are supported for containerized deployments, enabling consistent deployment across cloud and on-premises environments. This simplifies scaling and supports modern DevOps workflows with Infrastructure-as-Code tools.

SaaS data stays in the selected Azure region, and on-premises/BYOC deployments give customers full control over data location.

• United States
• Canada
• UK South
• Customer-chosen regions

Logical tenant isolation at the application, database, and storage levels. Shared SaaS keeps each tenant's data separate despite shared infrastructure. Dedicated SaaS provides single-tenant environments with exclusively allocated infrastructure.

Up to 8 portals per deployment (EnterpriseTube Premium) with independent branding, users, content, and security policies per portal. This enables separate branded experiences from a single deployment for different departments or audiences.

Bring Your Own Cloud lets organizations deploy VIDIZMO on their own cloud environment (Azure, AWS) while VIDIZMO manages the application layer. Customers retain full infrastructure and data control with managed application support.

On-premises deployment includes multiple specialized server roles for full platform functionality.

• Application server
• Content processing server
• Up to 9 AI server types (transcription, object detection, OCR, PII, vision description, AI search, agentic, embedding, live video analytics)
• Database server
• Message broker
• Streaming server

Windows Server with IIS 10/11, Python 3.9.12 for AI/ML runtime, and SQL Server 2019 or 2022 for database. AI servers require NVIDIA GPUs with high-speed NVMe storage for optimal performance.

Hybrid deployments combine on-premises with cloud services. Keep sensitive data on-premises while leveraging cloud for scalability, collaboration, and global access. Workloads allocate based on data sensitivity requirements.

Hot, cold, and archive storage tiers enable cost-optimized data lifecycle management. Frequently accessed content stays on hot storage while older content moves to cold or archive tiers with automated lifecycle policies.

Shared is multi-tenant, lower cost, provisions in 30 seconds. Dedicated is single-tenant with exclusive infrastructure, custom security tuning, and approximately 4-hour provisioning. Choose dedicated for compliance-heavy or performance-critical deployments.

Azure Site Recovery with geo-redundant storage (3+3 copies across regions) and Azure Traffic Manager for automatic failover. RTO is 2 hours for database, 48 hours for infrastructure. RPO is 24 hours. DR testing is semi-annual. Security.

AI Live Server handles 32 camera streams per instance, live streaming supports 20,000 simultaneous participants, bulk processing is tested with 1.1M+ recordings, and multi-portal supports 8 portals per deployment with auto-scaling.

AWS GovCloud is fully supported for government workloads requiring U.S.-jurisdiction data processing and storage. VIDIZMO supports both AWS and Azure Government Cloud deployment paths for federal customers.

Multiple IaC tools are supported, combined with CI/CD pipelines for automated, repeatable deployment across environments.

• Terraform
• Azure Bicep
• ARM Templates
• AWS CloudFormation
• Azure DevOps and GitHub Actions CI/CD pipelines

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VIDIZMO is built on a modern enterprise stack optimized for high-throughput AI processing.

• .NET 9 -- backend application
• Python 3.9.12 -- AI/ML runtime
• SQL Server 2019/2022 -- database
• IIS 10/11 -- web server
• Wowza -- streaming
• NVIDIA NVENC -- GPU acceleration
• ElasticSearch -- search engine
• Kafka/RabbitMQ/Azure Service Bus -- messaging
• Docker/Kubernetes -- containerization