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Overview

A multi-cloud strategy enables organizations to distribute workloads across multiple cloud service providers (CSPs), optimizing costs while avoiding vendor lock-in. Aviatrix provides the networking foundation that makes multi-cloud architectures practical and manageable.

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Business Drivers for Multi-Cloud

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Cost Optimization

Different cloud providers offer varying pricing models and competitive advantages:
  • Compute-intensive workloads: Compare pricing across AWS, Azure, and GCP for specific instance types
  • Storage costs: Leverage the most cost-effective storage tiers across providers
  • Data transfer: Optimize egress costs by strategic workload placement
  • Reserved capacity: Take advantage of provider-specific discount programs

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Avoiding Vendor Lock-In

Multi-cloud architectures provide:
  • Negotiating leverage with cloud providers
  • Business continuity if a provider experiences issues
  • Flexibility to adopt best-of-breed services from each cloud
  • Reduced dependency on any single vendor’s roadmap

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Multi-Cloud Networking Architecture

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Unified Network Fabric

Aviatrix creates a consistent networking layer across clouds: 
┌─────────────────┐     ┌─────────────────┐     ┌─────────────────┐
│       AWS       │     │      Azure      │     │       GCP       │
│                 │     │                 │     │                 │
│  ┌───────────┐  │     │  ┌───────────┐  │     │  ┌───────────┐  │
│  │  Transit  │◄─┼─────┼─►│  Transit  │◄─┼─────┼─►│  Transit  │  │
│  │  Gateway  │  │     │  │  Gateway  │  │     │  │  Gateway  │  │
│  └─────┬─────┘  │     │  └─────┬─────┘  │     │  └─────┬─────┘  │
│        │        │     │        │        │     │        │        │
│  ┌─────┴─────┐  │     │  ┌─────┴─────┐  │     │  ┌─────┴─────┐  │
│  │   Spoke   │  │     │  │   Spoke   │  │     │  │   Spoke   │  │
│  │  VPCs     │  │     │  │  VNets    │  │     │  │   VPCs    │  │
│  └───────────┘  │     │  └───────────┘  │     │  └───────────┘  │
└─────────────────┘     └─────────────────┘     └─────────────────┘

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Key Components

ComponentFunction
Transit GatewaysCentral routing hubs in each cloud
Spoke GatewaysConnect application VPCs/VNets
Multi-Cloud PeeringHigh-performance inter-cloud connectivity
Network SegmentationConsistent security policies across clouds

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Implementation Strategies

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Workload Placement Optimization

Consider these factors when placing workloads:
  1. Latency requirements: Place workloads close to users or dependent services
  2. Data residency: Comply with regional data sovereignty requirements
  3. Service availability: Use cloud-specific services where they excel
  4. Cost efficiency: Leverage spot/preemptible instances and reserved capacity

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Network Design Considerations

When designing multi-cloud networks:

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Cost Monitoring and Optimization

Track and optimize multi-cloud costs:
  • Monitor inter-cloud data transfer volumes
  • Right-size gateway instances using auto right-sizing
  • Review cloud routes to optimize traffic paths
  • Consolidate connections where possible

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Best Practices

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Planning Phase

  • Document current and projected workload requirements
  • Map dependencies between applications and services
  • Identify data gravity considerations
  • Establish cost baselines for comparison

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Implementation Phase

  • Deploy transit gateways in each target cloud
  • Configure multi-cloud peering connections
  • Implement consistent security policies
  • Set up monitoring and alerting

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Operations Phase

  • Regularly review traffic patterns and costs
  • Optimize gateway sizing based on utilization
  • Update routing policies as workloads evolve
  • Conduct periodic architecture reviews