Quick Summary

Key Takeaways at a Glance


Direct Cloud-to-Cloud Link: Microsoft and AWS engineered a direct, native networking path that completely skips third-party middleman hardware.

100 Gbps Throughput: Built specifically to transfer massive enterprise datasets and power distributed AI workloads with minimal latency.

Hardware-Level MACsec: Protects cross-cloud data using physical encryption without burning host CPU resources.

API-Driven Setup: Eliminates months of vendor coordination by configuring both endpoints using shared, open standards.

Running applications across both Microsoft Azure and Amazon Web Services (AWS) has become normal practice for modern businesses. However, connecting those two environments has always been difficult. Teams normally have to order physical data lines, sign separate telecom contracts, set up third-party server facilities, and troubleshoot complicated routing rules across two different cloud dashboards.

That changes with the introduction of Azure Multicloud Interconnect for AWS. Microsoft and AWS have partnered to offer direct, private, high-speed network connections between both platforms with simple, software-based controls. You can review the full release details in the official Microsoft Azure announcement.

Why Connecting Clouds Has Been So Painful

Until now, connecting an Azure Virtual Network to an AWS environment required a lot of manual coordination. A typical deployment meant hiring an outside telecommunications company, leasing dedicated physical connections inside a shared data center, and manually configuring BGP routing (the traffic rules that tell networks how to find each other).

This traditional approach caused several common operational headaches:

  • Long lead times: Getting dedicated private lines installed often took weeks or months to finalize.
  • Fragmented monitoring: Diagnosing a slow connection meant opening separate support tickets with Azure, AWS, and the middleman telecom provider.
  • Extra infrastructure costs: Companies had to pay ongoing fees for middleman virtual routers and data center rack space.

Old Setup vs. Azure Multicloud Interconnect

Here is how the direct interconnect compares to the traditional multi-provider approach:

Feature Old Multicloud Method Azure Multicloud Interconnect
Setup Time Weeks to months via carriers Minutes via cloud portal settings
Routing Architecture Custom BGP rules, virtual appliances Standardized Open API setup
Hardware Encryption Depends on carrier hardware limits Native MACsec included out of the box
Maximum Bandwidth Limited by leased telecom packages Up to 100 Gbps at launch
Uptime Target Varies across multiple supplier contracts Designed for 99.99% availability

Designed with Modern AI and Data Demands in Mind

Modern workloads rarely live on just one platform. A company might keep its customer databases in AWS while running machine learning and language models through Azure OpenAI. Moving large training datasets over public web connections creates high latency, data security risks, and steep data egress fees (the charges cloud companies bill whenever data leaves their network).

Azure Multicloud Interconnect addresses this by connecting directly into Azure Private Link. This allows traffic to travel across dedicated physical cables directly between Azure and AWS data centers, bypassing the public internet entirely.

Hardware Security Note: Network traffic passing through this link uses MACsec encryption at the physical layer. This safeguards data in transit without eating up server processing power the way software VPN tunnels often do.

How the Setup Process Works

Configuring the connection follows a straightforward workflow directly inside the cloud dashboards, with no need to call external telecom vendors:

  1. Generate the Connection in Azure: Create an interconnect resource inside the Azure Portal or command line to choose your required bandwidth.
  2. Authorize the AWS Network: Link your AWS Virtual Private Cloud (your company’s isolated, secure workspace inside AWS) using shared API connection tokens.
  3. Attach Private Endpoints: Route your specific apps and databases through Azure Private Link, keeping internal IP addresses hidden from public web exposure.

The Bigger Picture: Open Standards for Multicloud

Microsoft emphasized that this joint project with AWS relies on open, standardized API specifications. The longer-term plan is to extend this connection framework to other cloud hosts, regional telecom networks, and private enterprise data centers. Instead of keeping customers locked into walled gardens, major cloud platforms are beginning to make cross-cloud interoperability standard practice.