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Network Automation

AWS and Azure Deliver Native Multi-Cloud Interconnect to Automate Cross-Cloud Transit

Amazon Web Services and Microsoft Azure have launched public preview support for AWS Interconnect – multicloud connectivity directly integrated with Azure environments. Built upon an open specification for cross-cloud network interoperability, the collaboration provides a native, self-service mechanism to provision quad-redundant, MACsec-encrypted private connections between AWS Direct Connect gateways and Azure ExpressRoute circuits in minutes. Initial preview regions include US East (N. Virginia), US West (N. California), Asia Pacific (Sydney), and Europe (Frankfurt), accessible directly through native consoles, CLIs, and management APIs. For networking and DevOps teams, cross-cloud transit has long been one of enterprise infrastructure's most frustrating operational bottlenecks. Stitching disparate cloud environments historically meant managing complex peering agreements with intermediate telcos, configuring fragile BGP sessions across equinix-style meet-me rooms, or settling for throttled IPsec tunnels over the public internet. This managed integration replaces months of procurement and manual configuration with programmatic API calls, granting high-performance, resilient data paths that are essential for cross-cloud data synchronization, distributed AI pipelines, and multi-cloud disaster recovery architectures. This release follows similar multi-cloud connectivity partnerships AWS established with Google Cloud and Oracle Cloud Infrastructure, signaling a major paradigm shift among major hyperscalers. Rather than treating inter-cloud traffic as an adversarial boundary to discourage egress, cloud providers are standardizing on open interoperability specifications to accommodate enterprise realities. Modern architectures increasingly distribute specialized workloads across vendors—such as running generative AI inference on Azure while maintaining analytical data stores on AWS. Hyperscalers are recognizing that lowering the barrier to seamless cross-cloud data transport ultimately increases overall consumption across both ecosystems. Network engineers should evaluate their current interconnect footprint and plan pilot migrations away from expensive third-party transit fabrics where native interconnect points exist. Because the service provisions a quad-redundant architecture across physically diverse locations by default, teams can retire complex active-standby failover logic previously required for high availability. However, teams must continue to closely monitor egress billing models and MTU path discovery behavior. Furthermore, practitioners should integrate AWS Interconnect provisioning into their existing Terraform and Pulumi GitOps pipelines to treat multi-cloud connectivity as ephemeral, version-controlled software-defined infrastructure.
#network automation#multicloud#aws#azure#cloud networking
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