AWS vs Azure vs Google Cloud Networking Models: VPCs, VNets, Routing, Security, and Connectivity

 

AWS, Azure, and Google Cloud all provide software-defined private networking, but the scope of the network, subnet behavior, routing model, security controls, and hybrid-connectivity products differ.

The transferable skill is packet-path reasoning: source, destination, route, security decision, translation, and return path.

Start with the network boundary

AWS uses Virtual Private Clouds as regional network boundaries, with subnets associated with Availability Zones. Azure Virtual Networks are also regional and contain subnets. Google Cloud VPC networks are global resources with regional subnets.

That one difference changes how architects think about multi-region design.

Operational networking in Google Cloud appears directly in the Google Cloud engineer guide, where projects, subnets, routes, firewalls, DNS, and service connectivity have to work together in a live environment.

Routing remains destination-driven

All three platforms use route concepts to decide where packets go. AWS VPC route tables map destinations to targets. Azure provides system routes and user-defined route tables. Google Cloud VPC networks use routes that apply across the network according to scope and priority.

The core troubleshooting question is unchanged: which route matches the destination and what is the next hop?

The AZ-700 networking path makes routing knowledge central because cloud connectivity still depends on prefixes, next hops, route propagation, and correct return paths even when configuration is software-defined.

Security controls sit at different points

AWS commonly combines security groups with network ACLs and service-specific controls. Azure uses network security groups alongside firewalls, application controls, and other policy layers. Google Cloud provides VPC firewall rules and hierarchical firewall policies.

Do not compare them only by feature name. Ask whether the control is stateful, where it attaches, what direction it evaluates, and how inherited policy affects it.

Network controls belong inside a wider security architecture. The Azure security guide shows how segmentation, routing, firewall policy, identity, and monitoring reinforce one another.

Peering is not transit by default

Direct network peering is useful, but large environments often need a hub or transit architecture rather than a mesh of peerings.

AWS provides Transit Gateway patterns, Azure supports hub-and-spoke and Virtual WAN approaches, and Google Cloud provides hub and connectivity services for larger topologies.

Cloud networking evolution explains why topology discipline survives the move to software-defined infrastructure: boundaries changed, but traffic still needs a coherent path and policy model.

Hybrid connectivity has parallel categories

All three clouds provide encrypted VPN connectivity and private dedicated connectivity options. AWS uses services such as Site-to-Site VPN and Direct Connect; Azure uses VPN Gateway and ExpressRoute; Google Cloud uses Cloud VPN and Cloud Interconnect.

The architectural questions are the same: bandwidth, latency, availability, encryption, routing, failover, and cost.

Connectivity choices also carry business tradeoffs around resilience, latency, cost, and operating complexity; the Google Cloud Digital Leader path keeps those concerns visible above the packet-level design.

DNS and load balancing complete the path

A reachable IP path can still fail when name resolution or load-balancer health is wrong. Each provider has managed DNS and multiple load-balancing options with different regional and global behavior.

Troubleshooting should follow the request from name resolution to front end, listener, route, security control, backend health, and response path.

Architecture skills transfer better than console skills

A learner who can explain segmentation, route selection, stateful filtering, peering limits, hybrid routing, and failure domains can move between providers far more easily than someone who memorizes console locations.

Application developers need enough networking knowledge to reason about service connectivity, endpoints, DNS, and failure boundaries; the Google Cloud developer discussion reflects that overlap.

Use provider credentials as implementation lenses

In real cloud administration, the Azure security engineer path shows how networking, identity, and security controls become intertwined rather than owned as isolated configuration domains.

The important cross-vendor habit is simple: draw the path first, then translate each hop into the provider’s constructs.

Account for different network scopes before mapping designs

The word “virtual network” hides an important scope difference. An AWS VPC is regional and spans Availability Zones in that Region. An Azure VNet is also scoped to one region while its subnets span that region’s availability zones. A Google Cloud VPC network is global and contains regional subnets.

That difference affects how architects think about multi-region address planning, peering, routing, and shared services. Do not copy a hub-and-spoke diagram from one provider and assume the same resource boundaries exist in another. Start with the traffic path and failure domains, then learn how each platform expresses them.