AWS and Google Launch Managed Cross-Cloud Networking, Bypass Third-Party Vendors
AWS and Google previewed a jointly operated service that connects AWS VPCs to Google Cloud environments in minutes. The move threatens independent multi-cloud networking vendors and changes budget calculations for enterprises running workloads across both clouds.
AWS and Google eliminate multi-cloud networking complexity
AWS and Google Cloud announced a preview of a managed, private connectivity service that links AWS VPCs to Google Cloud environments on demand. The service, jointly operated by both vendors, eliminates the need for enterprises to design and deploy their own cross-cloud routing, VPNs, or SD-WAN overlays. AWS stated that Microsoft Azure integration will arrive in 2026.
The immediate impact: enterprises can provision secure AWS–Google Cloud connectivity in minutes rather than spending months on DIY network architecture. Google positioned the service as transforming "multicloud networking from a complex build into a simple, managed service."
What changes for enterprise buyers
This development directly affects three spending categories: network infrastructure, third-party multi-cloud platforms, and engineering time.
Enterprises currently stitch AWS–GCP connectivity using combinations of IPsec VPNs, Direct Connect, Cloud Interconnect, routers, and SD-WAN appliances. The managed service replaces much of that stack with a first-party layer. That shifts budget from CapEx on routers and firewalls to a managed connectivity line item, likely priced as a usage-based service similar to existing interconnect offerings but with a premium for orchestration.
Third-party multi-cloud networking vendors—Alkira, Aviatrix, Prosimo, F5—face direct competition. Their value proposition has rested on simplifying cross-cloud connectivity and policy management. A native AWS–Google service handles the connectivity piece, forcing independent vendors to differentiate on policy orchestration, security overlays, or multi-cloud features beyond basic VPC-to-VPC links. Enterprises evaluating multi-cloud networking platforms now have a first-party baseline to compare against, which will pressure pricing and feature sets.
Engineering time reallocates. Months of design, deployment, and troubleshooting for cross-cloud routing compress to provisioning and configuration of a managed service. Network and cloud architecture teams can redirect effort from building connectivity to optimizing workloads that depend on it—cross-cloud disaster recovery, data replication between AWS storage and Google Cloud analytics, or AI workloads that consume specialized services from each hyperscaler.
Azure's 2026 timeline creates sequencing risk
Azure is explicitly planned for 2026 but absent from the initial rollout. Enterprises running three-cloud architectures face a choice: delay projects that require all three clouds connected, build Azure connectivity independently while using the managed service for AWS–Google, or architect around the AWS–Google pair first and add Azure later.
The timed rollout favors workloads that depend primarily on AWS and Google Cloud. Companies whose multi-cloud strategy centers on Azure alongside one other hyperscaler will continue building cross-cloud networking the old way until 2026. That creates competitive pressure on Microsoft to match or preempt the capability.
Security and vendor dependency trade-offs
The service is described as private, secure, and targeted at enterprise-grade applications. That positioning suggests it will meet most regulated industries' requirements better than ad-hoc VPNs. Security leaders need to verify two details not yet disclosed: visibility (can existing SIEM and network detection tools inspect traffic across the managed link?) and shared responsibility boundaries (which security controls remain on the enterprise side versus managed by AWS and Google?).
Vendor lock-in risk shifts rather than disappears. Native cross-cloud connectivity reduces lock-in to a single hyperscaler by making it easier to move workloads between AWS and Google Cloud or run applications that depend on differentiated services from each. But it increases strategic dependence on the big three hyperscalers. Enterprises embed deeper into AWS and Google's connectivity layer, which reduces negotiating leverage with independent networking vendors and creates a new single point of dependency. Resilience and SLA details—not yet published—will determine whether that trade-off is acceptable.
What to watch
Pricing and SLA details will arrive as the preview matures. Enterprises should model the cost of the managed service against current spending on cross-cloud networking—Direct Connect, Interconnect, routers, SD-WAN licenses, and engineering time. If the managed service matches or undercuts that total cost, adoption will accelerate quickly.
Third-party multi-cloud networking vendors will respond with feature announcements, pricing changes, or messaging that emphasizes capabilities beyond basic connectivity—policy automation, multi-cloud security, or support for clouds outside the big three. RFPs for multi-cloud networking should now explicitly compare first-party managed connectivity against independent platforms.
Azure's 2026 integration timeline is a commitment, not a constraint. Microsoft may accelerate or AWS and Google may expand the service to include other hyperscalers or on-premises environments. Enterprises planning three-cloud architectures should track whether the 2026 date holds and whether early SLAs and pricing justify building around AWS–Google connectivity first.
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