In a move that shocked the tech industry, AWS and Google Cloud announced yesterday a jointly engineered multi-cloud networking solution. If you had doubts about true multi-cloud adoption, this collaboration signals a fundamental shift in how cloud providers now approach interconnectivity.

Let’s dive into what this means for your infrastructure, why it matters, and how you can leverage this new capability.

The Old Problem: Multi-Cloud Was a Nightmare

Before today, connecting AWS and Google Cloud infrastructure required weeks of manual work. Organizations had to:

• Wait weeks for circuit provisioning from telecom partners
• Manually configure network addressing and routing
• Manage complex equipment setups across providers
• Deal with unpredictable latency and connectivity issues
• Maintain separate network management dashboards

The result? Most companies abandoned true multi-cloud strategies and chose single-provider deployments instead.

The New Solution: AWS Interconnect-Multicloud & Google Cloud Cross-Cloud Interconnect

AWS and Google Cloud have now merged:

1. AWS Interconnect-Multicloud
2. Google Cloud Cross-Cloud Interconnect

These tools work together to create what both companies describe as “the first solution for direct connections between cloud providers.”

Key Features of the New Service

1. On-Demand Provisioning in Minutes
   Instead of weeks, you can now set up high-bandwidth connections in minutes through your cloud console or API.
2. Direct Private Integration
   Completely abstracted connectivity that removes the complexity of physical infrastructure management. Your applications communicate securely across clouds without touching the public internet.
3. Built-in Security & Redundancy

• Encrypted connections between edge routers
• Four separate paths for failover
• No single point of failure
• Compliant with enterprise security standards

1. Seamless Integration
   Connects directly to:

• AWS Transit Gateway
• AWS Cloud WAN
• Individual VPCs and subnets
• Google Cloud VPCs
• GCP services like BigQuery and Cloud Storage

Why This Matters for DevOps Teams

High-Availability Architectures: You can now build true resilient systems that span AWS and Google Cloud simultaneously.

Cost Optimization: Direct connections eliminate expensive data transfer costs through the public internet.

Low Latency: Private, dedicated connections provide predictable performance for mission-critical workloads.

Data Residency Compliance: Keep sensitive data on specific cloud providers while maintaining seamless access across environments.

Real-World Use Case

Imagine running a financial application where:

• Transactional workloads run on AWS (optimized for high throughput)
• Analytics and reporting run on Google Cloud BigQuery (superior query performance)
• Data pipelines orchestrate in Google Cloud and privately pull datasets from AWS S3

Previously, this required VPN connections and complex routing. Now? A few clicks.

When Does It Launch?

The service is currently in preview and will start in five AWS regions. Google Cloud is the first partner, but AWS indicates several providers have expressed interest, with Microsoft Azure expected to join later in 2026.

How to Get Started

1. Check Availability: Verify if the service is available in your AWS regions (preview status)
2. Request Access: Contact your AWS account team
3. Configure Connection: Use AWS Console or Terraform to define Cross-Cloud Interconnect settings
4. Enable BGP: Configure Border Gateway Protocol on both cloud providers
5. Validate: Test connectivity and monitor using CloudWatch and GCP monitoring

The DevOps Perspective

As a DevOps engineer, this changes your multi-cloud game completely. You can now:

• Deploy resilient architectures without performance compromise
• Simplify disaster recovery with true multi-cloud failover
• Reduce network complexity with managed, cloud-native connectivity
• Enable seamless application mobility between providers
• Meet compliance requirements with private, direct connections

TIA

This AWS-Google Cloud collaboration represents a watershed moment in cloud computing. It signals that the era of walled gardens is ending, and customers now have choices without technical tradeoffs.