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Azure Multicloud Interconnect for AWS Brings Simpler Private Connectivity Between Clouds

Microsoft and Amazon Web Services are collaborating on a new approach to multicloud networking designed to make private connectivity between Azure and AWS easier to deploy and operate.

The Azure Multicloud Interconnect for AWS combines Azure Multicloud Interconnect with AWS Interconnect – multicloud, giving organizations a streamlined way to establish high-performance private connections between the two cloud platforms.

The announcement comes as enterprises increasingly distribute applications, data and infrastructure across multiple cloud environments. For companies running workloads on both Azure and AWS, the goal is to reduce the networking complexity that can make multicloud architectures difficult to build and maintain.

According to Microsoft, the service can provide connectivity speeds of up to 100 Gbps from day one at general availability, while supporting scalability, resiliency and private networking requirements for demanding workloads.

Why Multicloud Networking Has Been Difficult

Using multiple cloud providers can give organizations flexibility over where applications and data are hosted. Different platforms offer different services, infrastructure options and capabilities, allowing technology teams to select environments based on workload requirements.

The networking layer, however, can become considerably more complicated.

Connecting Azure and AWS traditionally involves coordinating services and provisioning processes across two separate cloud ecosystems. Network teams may need to plan physical connectivity, configure routing, establish security controls, monitor connections and manage the lifecycle of infrastructure across providers.

That creates an operational challenge for organizations that want to move quickly.

Microsoft describes the traditional approach as requiring customers to manually coordinate multiple components and processes. Provisioning can take weeks or even months depending on the architecture and requirements.

The new collaboration is intended to abstract much of that complexity.

How Azure Multicloud Interconnect Works

Azure Multicloud Interconnect uses an interoperability approach developed in collaboration with AWS. The two companies say the solution is built using Open API specifications for network interoperability.

Rather than treating connectivity between Azure and AWS as a collection of disconnected networking tasks, the model is designed to provide a more integrated, cloud-native provisioning experience.

At a high level, organizations can use the services to establish dedicated private connectivity between their Azure and AWS environments.

Key characteristics highlighted by Microsoft include:

  • Private connectivity between Azure and AWS
  • Up to 100 Gbps of connectivity at general availability
  • Cloud-native provisioning designed to simplify deployment
  • Enterprise-grade resiliency and security
  • Scalability as bandwidth requirements increase
  • Support for workloads that span multiple cloud environments
  • An interoperability model based on Open API specifications

The objective is not simply to add another network connection. It is to reduce the amount of infrastructure coordination required to create and operate that connection.

Built for AI and Data-Intensive Workloads

The timing of the announcement reflects a broader change in enterprise infrastructure.

AI applications increasingly depend on large volumes of data, distributed computing resources and specialized infrastructure. In many organizations, that data and infrastructure will not necessarily reside in a single cloud.

Training and inference workloads may need to access information stored in different environments, while enterprises continue to balance performance, security, compliance and operational requirements.

That makes reliable private connectivity increasingly important.

Azure Multicloud Interconnect is designed to address this requirement by supporting high-capacity private networking between Azure and AWS. Microsoft also highlights integration with Azure Private Link, extending private connectivity capabilities across the architecture.

For enterprises building AI applications across cloud boundaries, the networking layer can become a critical part of the overall system design.

A high-bandwidth private connection can help organizations move data between environments without relying on architectures built around public internet connectivity.

Security and Availability Are Central to the Offering

Multicloud connectivity is not only about bandwidth.

Enterprise customers also need predictable availability and security controls when connecting infrastructure that may support business-critical applications.

AWS Vice President of Network Services Robert Kennedy said customers had been asking for a simpler way to connect workloads across AWS and Azure. He also pointed to MACsec security out of the box, four-nines availability, and scalable connectivity as characteristics of the collaboration.

These capabilities are particularly relevant for organizations considering multicloud networking for production workloads rather than development or experimental environments.

The combination of private connectivity, encryption, availability and automated provisioning is intended to make the network connection fit more naturally into an enterprise cloud architecture.

100 Gbps Connectivity Opens the Door to Larger Workloads

One of the more significant technical details in Microsoft’s announcement is the ability to deploy connectivity at speeds of up to 100 Gbps from day one at general availability.

That bandwidth is aimed at workloads that need to move substantial amounts of data between cloud environments.

Potential use cases can include:

  • AI and machine learning workloads
  • Large-scale data processing
  • Distributed enterprise applications
  • Data-intensive analytics
  • Cross-cloud application architectures
  • Workloads requiring private network connectivity

Microsoft also says capacity can expand dynamically as demand increases.

That scalability could be important for organizations whose networking requirements change as applications grow. Instead of redesigning the underlying architecture each time bandwidth requirements increase, companies can scale connectivity alongside their workloads.

An Open API Approach Could Matter Beyond Azure and AWS

Perhaps the broader significance of the announcement lies in the interoperability model rather than the individual connection between Azure and AWS.

Microsoft says the companies are using an open API specification to facilitate network interoperability. The stated long-term vision is to extend this type of approach across a wider ecosystem of hyperscalers, network providers and telecommunications carriers.

That could eventually address another major challenge in enterprise networking: the fragmented journey between cloud infrastructure, network providers and physical enterprise locations.

A common interoperability framework could allow different parties to coordinate connectivity through standardized APIs instead of requiring customers to manage separate provisioning workflows for every part of their network.

The concept is similar to a broader shift already taking place across cloud infrastructure, where automation and APIs increasingly replace manual infrastructure management.

What the Announcement Means for IT Teams

For IT decision-makers, the immediate value is operational simplicity.

A multicloud architecture can provide flexibility, but that flexibility comes with additional management responsibilities. Network teams have historically had to bridge differences between providers, coordinate provisioning and maintain visibility across environments.

A more integrated connectivity experience could reduce some of that burden.

For network engineers and cloud architects, the significance will depend on how the service fits into existing routing, security, monitoring and governance architectures. Organizations will still need to design their cloud networks carefully, but the underlying connectivity process could become less cumbersome.

For enterprises pursuing AI strategies, the ability to connect cloud environments privately at high bandwidth could also influence where workloads and data are placed.

Instead of assuming that an application must live entirely within one cloud, organizations can consider architectures in which services and data remain distributed while maintaining dedicated connectivity between environments.

The Bigger Shift Toward Multicloud Interoperability

The Microsoft-AWS collaboration reflects a wider evolution in enterprise cloud architecture.

Multicloud is no longer simply a question of running workloads in multiple environments. The challenge is making those environments operate together efficiently.

That requires interoperability at several levels, including networking, identity, security, data movement and application management.

Azure Multicloud Interconnect addresses one important part of that puzzle: network connectivity.

The use of an open API specification also points toward a model in which cloud providers and network operators can expose standardized mechanisms for establishing connections.

If that model expands, the practical effect could extend beyond a single Azure-to-AWS relationship.

Cloud providers, telecommunications companies and network service providers could potentially use common interfaces to simplify connectivity from cloud regions to metropolitan networks and enterprise locations.

What Comes Next

Microsoft’s announcement positions Azure Multicloud Interconnect as part of a longer-term effort to make multicloud networking feel more like a native cloud service.

The immediate offering focuses on Azure and AWS, with connectivity reaching up to 100 Gbps at general availability. The longer-term vision described by Microsoft is broader: standardized, automated connectivity across hyperscalers, network providers and carriers.

For enterprises, the important question will be how quickly this model can translate into simpler deployments and lower operational overhead in real-world environments.

As AI workloads become more distributed and organizations continue to use multiple cloud platforms, the network connecting those environments becomes increasingly important infrastructure.

Azure Multicloud Interconnect for AWS is Microsoft’s latest attempt to make that infrastructure easier to provision, scale and manage—while laying out a vision for a more interoperable multicloud network ecosystem.

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