Hybrid Environments

Hybrid Platform Overview

This is a hyper-converged infrastructure solution that brings Azure services to on-premises environments. It combines the agility and innovation of cloud computing with the performance and control of on-premises infrastructure, creating a true hybrid cloud experience.

This approach allows our clients to maintain sensitive data and mission-critical applications on-premises while leveraging Azure’s cloud capabilities for scalability and modern management tools. With seamless integration between on-premises and cloud resources, organizations can optimize workload placement based on performance, compliance, and cost requirements while maintaining a unified operational experience across their entire infrastructure.

Hybrid Architecture Overview


Hyper-Converged Infrastructure

Compute, storage, and networking consolidated


Software-Defined Networking

Network virtualization and micro-segmentation


Azure Arc

Hybrid management and governance


Azure Kubernetes Service

Container orchestration


Azure Backup

Cloud-based backup and disaster recovery.


Windows Admin Center

Unified Management Interface

Key Benefits for Hybrid Deployment

 

Best of Both Worlds: Cloud Innovation with On-Premises Control

Azure Local delivers the agility and innovation of cloud services while maintaining complete control over data location and infrastructure. Organizations can leverage Azure’s cutting-edge services, AI capabilities, and management tools without compromising on data sovereignty or latency requirements. This hybrid approach enables gradual cloud adoption while preserving existing investments in on-premises infrastructure and addressing regulatory compliance needs.

Simplified Operations Through Unified Management

The platform provides a single pane of glass for managing both on-premises and cloud resources through Azure Arc. This unified approach reduces operational complexity, eliminates the need for multiple management tools, and provides consistent governance policies across hybrid environments. Automated updates, monitoring, and troubleshooting capabilities reduce the administrative burden while maintaining enterprise-grade reliability and security.

Edge Computing and Low-Latency Applications

Azure Local is ideal for edge computing scenarios where applications require ultra-low latency, local data processing, or disconnected operations. Manufacturing environments, retail locations, and branch offices can run mission-critical applications locally while maintaining cloud connectivity for backup, monitoring, and management. This architecture ensures business continuity even during network outages while providing the performance required for real-time applications.

Cost Optimization and Flexible Consumption Models

The platform offers consumption-based pricing similar to public cloud while reducing data transfer costs and eliminating the need for over-provisioning. Organizations can optimize costs by running workloads locally and leveraging cloud services only when needed. The hyper-converged architecture reduces hardware footprint and operational expenses while providing the flexibility to scale resources up or down based on business demands.

 

Business Value

  • Cost Optimization: Reduce hardware and operational costs through hyper-convergence
  • Regulatory Compliance: Keep sensitive data on-premises while leveraging cloud services
  • Modern Application Support: Run both traditional and cloud-native applications
  • Simplified Licensing: Consumption-based pricing model similar to cloud services

Technical Specifications

  • Cluster Configuration: 2-16 nodes per cluster with support for multi-cluster deployments
  • Operating Systems: Windows Server 2019/2022, Azure Kubernetes Service, Linux containers
  • Hypervisor: Hyper-V with Windows Server or Azure Stack HCI OS
  • Storage: Storage Spaces Direct with NVMe, SSD, and HDD tier support
  • Networking: Software-Defined Networking (SDN), RDMA, and 25GbE+ connectivity
  • Management: Windows Admin Center, Azure Arc, PowerShell, and REST APIs

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