AWS vs Azure: The Multi-Cloud Networking Trade-offs Interviewers Actually Test

Interviewers hiring for Cloud Network Engineer roles increasingly ask a version of the same question: "you've described how this works on AWS — how would it be different on Azure?" It's not really testing whether you've memorized two consoles. It's testing whether you understand the underlying networking primitive well enough to reason about it independent of any one vendor's implementation. As more companies run genuinely hybrid AWS-and-Azure estates — through acquisitions, deliberate multi-cloud redundancy, or avoiding a single vendor's outage blast radius — that cross-cloud reasoning has become a real, specific interview skill, not a nice-to-have.

Transit Architecture: Transit Gateway vs Virtual WAN

The clearest place this shows up is transit architecture. AWS Transit Gateway is a regional hub that VPCs attach to individually, with per-attachment route tables giving you fine-grained control over which VPCs can reach which — segmentation is something you build deliberately with route table associations and propagations. Azure Virtual WAN takes a more opinionated, bundled approach: it's a global resource with regional hubs, and it ships with more built-in integration out of the box, including Azure Firewall Manager for centralized policy and native SD-WAN partner integration for branch connectivity. The trade-off an interviewer wants you to articulate is real: Transit Gateway gives you more granular, composable control at the cost of building more of the segmentation yourself; Virtual WAN gets you further faster with less assembly, but you're working within Microsoft's opinions about how a hub should behave.

Hybrid Connectivity: Direct Connect vs ExpressRoute Global Reach

Direct Connect and ExpressRoute solve the same problem — a private, non-internet path from on-premises into the cloud — but their extension models diverge in a way that's easy to get wrong. Direct Connect uses private, public, or transit virtual interfaces over an 802.1Q-tagged connection, with BGP exchanging routes on each VIF. ExpressRoute uses a circuit model with private peering and Microsoft peering, and its most distinctive feature is Global Reach, which lets two sites each connected via their own separate ExpressRoute circuit reach each other directly over Microsoft's backbone, without their traffic ever transiting the public internet or requiring a third connection between the sites themselves. AWS has no precise equivalent to Global Reach; achieving site-to-site connectivity between two Direct Connect locations typically means routing through a Transit Gateway or Direct Connect Gateway, not a dedicated cross-circuit backbone path.

Hybrid DNS: Route 53 Resolver vs Azure DNS Private Resolver

Hybrid DNS resolution follows a similar pattern of the same problem, different mechanism. Route 53 Resolver uses inbound and outbound endpoints — the outbound endpoint forwards queries for on-premises domains out to your on-prem DNS servers, and the inbound endpoint lets on-premises resolvers query your VPC's private hosted zones. Azure's equivalent, Azure DNS Private Resolver, plays the same role with inbound and outbound endpoints of its own, but it arrived considerably later than Route 53 Resolver did, and many existing Azure hybrid DNS deployments still run on older patterns — self-managed DNS forwarder VMs bridging Azure Private DNS zones to on-premises DNS — because they were built before the managed resolver existed. A candidate who assumes Azure's hybrid DNS story is as mature and as uniformly adopted as AWS's is making a real, checkable mistake.

The Segmentation Gap: Why Azure Has No True NACL Equivalent

The segmentation model is where AWS and Azure genuinely diverge, not just in naming. AWS gives you two independent layers: Security Groups, which are stateful and attached at the instance or ENI level, and Network ACLs, which are stateless and attached at the subnet level, evaluated in rule-number order with an explicit allow or deny. Azure's Network Security Groups can be attached at either the subnet level or the individual NIC level, but they're always stateful — Azure has no native stateless, subnet-level ACL equivalent to a NACL. That's not a naming difference, it's a real architectural gap: a defense-in-depth design that relies on a stateless outer layer plus a stateful inner layer, standard practice on AWS, doesn't have a direct one-to-one translation on Azure, and candidates who describe NSGs as "Azure's NACLs" are eliding a distinction interviewers specifically probe for.

Inline Inspection: Gateway Load Balancer vs UDR Service Chaining

Inline traffic inspection is another place the platforms solve the same operational need differently. AWS Gateway Load Balancer lets you insert third-party or custom network virtual appliances transparently into a traffic path using GENEVE encapsulation, distributing flows across a scalable appliance fleet without the appliance needing to be topology-aware. Azure has no direct GWLB equivalent; the standard pattern is either routing traffic through Azure Firewall directly, or service-chaining a third-party network virtual appliance using user-defined routes that explicitly redirect traffic through the appliance's IP, which is a more manual, topology-dependent approach that doesn't abstract the appliance behind a load-balanced target group the way GWLB does.

None of this shows up as "define Transit Gateway" in a real interview — it shows up as a scenario: "you're migrating a customer from AWS to Azure, or building a hybrid estate spanning both — walk me through how you'd replicate this network segmentation, or where the architecture genuinely has to change, not just get renamed." That framing is exactly why memorizing one cloud's console isn't enough anymore for a Cloud Network Engineer interview. Practise explaining each of these five areas — transit, hybrid connectivity, DNS, segmentation, and inline inspection — from both directions: given an AWS design, describe the Azure equivalent and name where it isn't actually equivalent. Betty, My Next Hop's AI mock interviewer, runs cross-cloud scenario questions on the Cloud Network Engineer track specifically to test this kind of platform-independent reasoning, not just recall of either vendor's terminology.