Microsoft and AWS have launched a managed multicloud interconnect for enterprise customers. The service creates private, high-speed links between Azure and AWS environments.
The companies built it as a single logical cloud resource. Customers can provision it through an API, console, or infrastructure-as-code tools. A standardized OpenAPI specification supports the service.
This marks a significant shift in multicloud networking. Enterprises no longer need to treat cloud-to-cloud connectivity as a custom project. They can request a private link much like they request compute or storage.
The service uses familiar networking foundations. Azure Multicloud Interconnect runs on ExpressRoute. AWS uses Direct Connect. However, the providers now manage the physical and logical connectivity.
That change matters for network teams. They can avoid much of the router configuration and circuit coordination. They also gain a simpler way to connect virtual private clouds and cloud networks.
The preview covers four cross-cloud region pairs. These include US East, US West, Australia/APAC, and Germany/Europe. Current preview capacity reaches 1Gbps per customer in supported regions.
At general availability, the companies plan to support up to 100Gbps. Formal service-level agreements and higher bandwidth tiers will follow later. That leaves pricing and performance guarantees as key open questions.
The clearest early demand will come from AI workloads. Many enterprises train models in one cloud. Yet they store sensitive data or compliance tools in another cloud.
A private cloud-to-cloud link can simplify that design. Teams can move training data, model files, and inference traffic securely. They also avoid sending sensitive traffic across the public internet.
This approach could appeal to regulated industries. Banks, healthcare groups, and government contractors need predictable connectivity. They also need better control over data movement.
During the preview, Azure is not charging service fees. It also waives Azure-side data egress charges for the interconnect. That gives data-heavy AI teams a strong reason to test it.
However, the telecom sector should watch this move closely. Carriers traditionally sold private lines, MPLS, and managed cloud connectivity. This service places more control in hyperscaler hands.
Telcos still provide the fiber, metro networks, and long-haul transport. Yet the customer interface increasingly moves to cloud platforms. That can pressure private connectivity revenue.
Still, operators have room to adapt. They can package cloud interconnects with 5G network slicing, edge services, and SD-WAN. They can also host points of presence near enterprise sites.
In addition, telcos can use the service internally. Many operators run operational systems across multiple clouds. A managed Azure-AWS path could simplify analytics, OSS/BSS, and automation platforms.
The broader message is clear. Multicloud networking is becoming programmable, private, and cloud-native. For enterprises, that reduces friction. For telcos, it creates both disruption and a call to move higher in the connectivity stack.
