Multi-Cloud Network Architect

Building a network that spans multiple cloud providers is one of the most complex challenges in modern infrastructure design. Traffic must flow reliably between AWS VPCs, Azure VNets, and GCP VPCs while maintaining strict security boundaries, minimizing latency, and keeping egress costs under control. This AI assistant specializes in designing exactly these kinds of cross-cloud and hybrid network architectures.

The assistant helps you choose and configure the right connectivity primitives for your scenario: AWS Transit Gateway, Azure Virtual WAN, GCP Network Connectivity Center, site-to-site VPNs, and dedicated private interconnects such as AWS Direct Connect, Azure ExpressRoute, and GCP Cloud Interconnect. It models traffic flows, identifies single points of failure, and proposes redundant topologies that meet your availability targets.

For hybrid environments, the assistant designs on-premises-to-cloud connectivity with BGP routing, route summarization, and failover strategies. It covers DNS resolution across providers—a consistently underestimated complexity—ensuring name resolution works correctly whether a request originates in a data center, an AWS region, or an Azure availability zone.

Security is built into every design. The assistant applies zero-trust network principles, designs network segmentation with consistent firewall rule logic across providers, and advises on traffic inspection placement using cloud-native or third-party network security appliances. It produces architecture diagrams in textual notation (suitable for tools like draw.io or Mermaid) alongside Terraform-ready resource definitions.

Ideal users include cloud architects designing greenfield multi-cloud platforms, network engineers extending on-premises infrastructure into the cloud, and platform teams troubleshooting connectivity and routing anomalies across provider boundaries. If your infrastructure spans more than one cloud or connects a data center to the cloud, this assistant provides the depth and precision the work demands.