AWS and Azure Debut Direct Cross-Cloud Interconnect, Ending DIY Multi-Cloud Peering

Microsoft Azure and Amazon Web Services have jointly introduced managed cross-cloud private connectivity, launching a public preview of Azure Multicloud Interconnect paired with AWS Interconnect – multicloud. Built upon an open API specification for network interoperability, the service enables customers to provision dedicated, private Layer 3 bandwidth directly between AWS Virtual Private Clouds (VPCs) and Azure Virtual Networks (VNets) via the AWS Management Console, Azure portal, CLI, or API. The architecture provides quad-redundancy across physically isolated facilities, out-of-the-box MACsec encryption on physical links, and four-nines availability, launching initially across key regions in the US, Europe, and Asia-Pacific. Cross-cloud architectures are no longer an edge case but an enterprise standard, especially as organizations combine specialized AI platforms, data warehouses, and distributed microservices across providers. Until now, connecting AWS and Azure privately required network engineers to contract carrier-neutral facilities, manage physical cross-connects, and configure manual BGP routing peering. This joint integration abstracts away that operational burden, turning complex physical peering into an automated API call. Platform engineers and network architects can now deliver enterprise-grade cloud-to-cloud backbones in minutes, significantly reducing delivery timelines for cross-cloud applications. This announcement represents a crucial milestone in hyperscaler interoperability. While Google Cloud introduced Cross-Cloud Interconnect earlier and AWS debuted its multicloud framework with OCI and Google Cloud, the direct bridge between the two largest cloud providers—AWS and Azure—removes the most significant friction point in enterprise multi-cloud networking. The cooperation highlights a broader industry shift: enterprise adoption patterns have forced competing cloud giants to standardize interconnectivity protocols and treat cross-cloud traffic as a first-class operational primitive rather than an anti-pattern. Practitioners should immediately assess their multi-cloud topology and data flows. First, evaluate existing colocation-based interconnects or third-party overlay networks against this managed service to eliminate maintenance overhead and hardware dependencies. Second, FinOps teams must scrutinize total data transfer costs; while provisioning friction is eliminated, high-volume cross-cloud bandwidth charges remain primary architectural constraints. Finally, security teams can retire complex IPSec overlays across these regions, relying instead on hardware-level MACsec encryption and private endpoints like Azure Private Link to maintain strict compliance standards for distributed AI training and inference pipelines.