🔀 Hybrid Architecture Patterns¶

Comparative positioning note

This document is written from the perspective of Microsoft Azure, Cloud Scale Analytics, and CSA Loom. Any description of third-party or competing products, services, pricing, or capabilities is derived from publicly available documentation and sources believed accurate at the time of writing, and is provided for general comparison only. We do not claim expertise in, or authority over, any non-Microsoft product or service; the respective vendor's official documentation is the authoritative source for their offerings, which may change over time. Nothing here is intended to disparage any vendor — where a competing product has genuine advantages, we aim to note them honestly. Verify all third-party details against the vendor's current official documentation before making decisions.

Architecture patterns for hybrid cloud and multi-cloud analytics deployments.

🎯 Overview¶

Hybrid architectures combine on-premises infrastructure with Azure cloud services, enabling:

Gradual migration from legacy systems
Data sovereignty compliance
Latency optimization for edge workloads
Cost optimization through workload placement
Disaster recovery across environments

📊 Pattern Catalog¶

Global Data Distribution ¶

Patterns for distributing data across multiple Azure regions and on-premises locations.

Hub-and-Spoke Hybrid¶

Central Azure hub with on-premises spokes.

graph TB
    subgraph "Azure (Hub)"
        H1[Data Lake]
        H2[Synapse Analytics]
        H3[Azure Purview]
    end

    subgraph "On-Premises (Spoke 1)"
        S1A[SQL Server]
        S1B[File Shares]
    end

    subgraph "On-Premises (Spoke 2)"
        S2A[Oracle DB]
        S2B[Legacy Apps]
    end

    subgraph "Connectivity"
        C1[ExpressRoute]
        C2[VPN Gateway]
    end

    S1A --> C1
    S1B --> C1
    S2A --> C2
    S2B --> C2
    C1 --> H1
    C2 --> H1
    H1 --> H2
    H2 --> H3

Data Landing Zone¶

Staged data ingestion from multiple sources.

graph LR
    subgraph "On-Premises"
        O1[Source Systems]
    end

    subgraph "Landing Zone"
        L1[Self-Hosted IR]
        L2[Azure Data Factory]
        L3[Staging Storage]
    end

    subgraph "Analytics Platform"
        A1[Data Lake]
        A2[Processing]
        A3[Serving]
    end

    O1 --> L1
    L1 --> L2
    L2 --> L3
    L3 --> A1
    A1 --> A2
    A2 --> A3

🔧 Implementation¶

Self-Hosted Integration Runtime¶

{
    "name": "OnPremisesIR",
    "type": "Microsoft.DataFactory/factories/integrationRuntimes",
    "properties": {
        "type": "SelfHosted",
        "description": "Integration runtime for on-premises data sources"
    }
}

ExpressRoute Configuration¶

resource expressRouteCircuit 'Microsoft.Network/expressRouteCircuits@2023-05-01' = {
  name: 'er-hybrid-analytics'
  location: location
  sku: {
    name: 'Standard_MeteredData'
    tier: 'Standard'
    family: 'MeteredData'
  }
  properties: {
    serviceProviderProperties: {
      serviceProviderName: 'Equinix'
      peeringLocation: 'Washington DC'
      bandwidthInMbps: 1000
    }
  }
}

Last Updated: January 2025