Your workloads are spread across AWS, Azure, and GCP. Your network design is from 2020. Let's break down what cloud interconnect actually means, why your VPC peering isn't cutting it, and how to think about this without losing your mind.
Multi-cloud isn't optional anymore. It's the reality for most enterprises larger than a few hundred people. But here's the problem: your network architecture probably didn't evolve alongside your cloud sprawl.
When you have three or four instances in AWS, VPC peering is fine. When you're running mission-critical workloads across multiple regions and multiple clouds, it becomes a nightmare. You're managing hundreds of peering connections. Transitive routing doesn't work. Your security posture becomes impossible to reason about.
This is where most teams hit the wall. They've optimized everything within each cloud provider, but the interconnect between them is an afterthought. Latency spikes. Failover is messy. Troubleshooting is a guessing game.
You have three real choices:
Option 1: Dedicated Interconnect Services. AWS Direct Connect, Azure ExpressRoute, GCP Dedicated Interconnect. These are SLAs with real teeth. Predictable latency. No noisy neighbors. They cost money, but they're the right choice for mission-critical workloads.
Option 2: SD-WAN. A software-defined wide area network can intelligently route traffic between clouds based on application needs. You get better performance than the internet, lower cost than dedicated circuits, and flexibility when your topology changes.
Option 3: Hybrid Approach. Dedicated circuits for the 20% of traffic that needs SLA guarantees. SD-WAN for everything else. This is what actually works at scale.
Here's what we see working in practice: Hub-and-spoke architecture with a transit network. Pick one region as your hub — usually your primary region in your primary cloud. Run your core services there. Everything else spokes off it.
Dedicated interconnects from spoke clouds to the hub. Internal load balancing and service discovery so your applications don't care about geography. Automatic failover when a circuit goes down.
And yes, this costs more than the naive approach. But it costs less than the incident that happens when your entire architecture is brittle.
DNS is harder than you think. Route53 in AWS is great. Azure DNS is fine. But cross-cloud DNS resolution is a mess. You need a strategy: either run your own authoritative nameservers or use a cloud-agnostic DNS provider.
Security groups don't work across clouds. You need a consistent security model that abstracts the cloud-specific stuff. Zero-trust architecture becomes non-optional.
Observability is a nightmare. You need distributed tracing that spans clouds. VPC Flow Logs in AWS are useless for understanding traffic leaving the AWS perimeter. You need NetFlow, sFlow, or a dedicated observability vendor.
Multi-cloud isn't about picking which cloud is best. It's about building a network architecture that treats your clouds as federated infrastructure. That means:
- Consistent naming and discovery across clouds
- Predictable latency between clouds
- Security that doesn't rely on cloud-specific constructs
- Observability that spans your entire infrastructure
If you don't have these, you don't have multi-cloud. You have a multi-cloud mess. And it's going to hurt when your next incident happens at 2am on a Sunday.
DBTN
Enterprise IT Consulting
The DBTN team brings hands-on expertise from deployments across Cisco, Megaport, AWS, Azure, and GCP.
// Add your thoughts
Sarah Rodriguez
May 4, 2026 at 2:14 PM
This perfectly captures the issue we've been struggling with across our Azure and AWS footprint. The DNS piece especially — we ended up rolling our own because cloud-native DNS solutions don't play well together. Would love to hear if anyone's found a better approach.
James Chen
May 4, 2026 at 3:47 PM
Question about the hub-and-spoke model: what happens if your primary region has an outage? Do you failover to a different cloud entirely, or just a different region in the same cloud?
DBTN Author
May 4, 2026 at 5:22 PM
Great question, James. In the hub-and-spoke model, you're designed for graceful degradation. If the hub goes down, spokes can still reach each other via a secondary interconnect. But if you need true cross-cloud failover, you're looking at a more distributed architecture where no single region is the bottleneck. That's more expensive and more complex — it's a trade-off every org has to make based on their RTO/RPO requirements.
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