For years, connecting two public clouds meant VPN tunnels over the internet or complex colocation deals. That is finally changing. AWS Interconnect – multicloud now works with Google Cloud Cross-Cloud Interconnect in preview, with Microsoft Azure expected later. For architects, this is the biggest step in multicloud networking in years.

Cloud Is Growing Faster Than Ever

According to the latest quarterly results, cloud growth is accelerating, driven by AI demand:

Provider	Quarterly growth	Revenue
AWS	+39%	~$46B
Microsoft Azure	+48%	~$33.2B
Google Cloud	more than doubled	~$30.7B

Amazon’s capital expenditure guidance also moved toward roughly $220B as it builds out AI data centres. With most enterprises using more than one provider – theCUBE Research reports 61.8% of enterprises run hybrid deployments – fast, private links between clouds are now a necessity.

What Is AWS Interconnect – Multicloud?

It’s a managed, private, high-bandwidth connection between your AWS VPCs and another cloud provider’s network – without running your own routers in a colocation facility. On the Google side, Cross-Cloud Interconnect provides the matching dedicated connection. Together they let you:

• Move data between clouds without traversing the public internet.
• Get predictable latency and bandwidth for replication and analytics.
• Reduce the operational burden of maintaining VPN tunnels.

Common Multicloud Use Cases

• AI training and inference: keep data in one cloud while using GPUs or TPUs in another.
• Analytics: run BigQuery on data generated by AWS-hosted apps.
• Disaster recovery: replicate critical databases to a second provider.
• Sovereignty and vendor exit: Gartner’s “SovereignTech” trend highlights the need for real exit options from critical vendors.

Architecture Tips for Multicloud Networking

Plan non-overlapping IP ranges

Overlapping CIDR blocks are the #1 multicloud headache. Define an IP plan up front:

AWS prod VPCs     10.10.0.0/16
AWS non-prod      10.20.0.0/16
GCP prod VPCs     10.30.0.0/16
GCP non-prod      10.40.0.0/16
On-premises       10.100.0.0/16

Use a hub-and-spoke topology

Terminate inter-cloud links in a central “transit” network (AWS Transit Gateway / Cloud WAN on AWS, Network Connectivity Center on Google Cloud) instead of peering every VPC.

Watch egress costs

Private interconnects reduce data-transfer pricing compared with internet egress, but cross-cloud traffic is never free. Keep chatty services in the same cloud and move data in batches.

Unify identity and observability

Use workload identity federation instead of exporting long-lived keys between clouds, and centralise logs and metrics with OpenTelemetry.

# Example: check latency between clouds after setup
ping -c 20 10.30.1.10
mtr --report 10.30.1.10

Things to Keep in Mind During Preview

• Preview features may change and may not carry production SLAs.
• Availability can be limited to certain regions.
• Test failover: what happens if the interconnect goes down?

Conclusion

Multicloud networking is moving from DIY plumbing to a managed service. With AWS and Google Cloud connecting directly – and Azure expected to follow – teams can finally design multicloud architectures around business needs rather than network limitations. Start with a clean IP plan, a hub-and-spoke design and strict cost monitoring.