Multi-Cloud Networking

Cross-cloud connectivity.

Overview

Multi-cloud networking connects workloads across AWS, GCP, Azure, and on-prem environments. Real engineering, not a marketing posture; the discipline produces predictable cross-cloud behaviour rather than per-workload duct tape.

• Cross-cloud connectivity. Workloads in different clouds talk to each other; the discipline provides routes, security, and observability across the boundary.
• VPN or dedicated interconnect. IPSec VPN is cheap and fast to set up; dedicated interconnect (Direct Connect, Cloud Interconnect) is fast and predictable at higher cost.
• Transit hubs. AWS Transit Gateway, Azure Virtual WAN, GCP NCC consolidate routing; the discipline scales linearly with multiple workloads instead of quadratically.
• DNS coordination and consistent security model. Route 53 Resolver, private zones, conditional forwarders; cloud-native security groups stop at the cloud boundary, so consistent ingress/egress controls require deliberate design.

The approach

Hub-and-spoke per cloud, interconnected by VPN or dedicated links. The team's discipline matches the workload requirements: VPN for low traffic and proof-of-concept, dedicated interconnect when traffic and latency targets justify it.

• Hub-and-spoke per cloud. Each cloud has a transit hub, workloads attach to the hub; scales without exponential complexity that point-to-point produces.
• VPN for low traffic. IPSec VPN is fast to set up and inexpensive; appropriate for proof-of-concept and steady low-traffic workloads.
• Dedicated interconnect for high traffic. Direct Connect or partner interconnect provides predictable bandwidth and lower latency; upgrade when traffic grows.
• Use BGP, not static routes. Route propagation via BGP is the standard; resilience to path failure is built in rather than a manual flip.

Why this compounds

Multi-cloud networking compounds. Each workload added inherits the existing topology, the team learns each cloud's networking quirks, and the discipline matures into institutional knowledge that survives reorgs.

• Reduced complexity per workload. Hub topology means new workloads do not add point-to-point links; complexity stays bounded as the workload count grows.
• Better resilience. BGP-driven routing handles path failures automatically; manual route flipping during an outage is not an operational pattern that scales.
• Cost predictability. Dedicated interconnect costs are stable, egress through hubs is observable; cost transparency follows the topology.
• Team expertise. Each cloud's networking quirks are learned through use; the discipline grows institutional knowledge that survives team turnover.

Multi-cloud networking is one of those infrastructure projects that pays off across years. Nova AI Ops integrates with cross-cloud telemetry, surfaces patterns, and supports the team's connectivity discipline.