Global Load Balancing
Latency-based routing.
Overview
Global load balancing distributes traffic across regions for latency (route users to the nearest region), resilience (route around failed regions), capacity (spread load across regions), and compliance (route by geography for data residency). DNS-based routing handles most HTTP workloads; anycast handles ultra-low-latency requirements; managed offerings (AWS Global Accelerator, Cloudflare Load Balancing) compose well with the rest of the cloud stack. The right answer is workload-specific.
- Latency-based routing. Users get the nearest region; user-facing latency drops at the geo boundary.
- Multi-region capacity. Spread load across regions; total capacity scales linearly with region count.
- Regional failover. Unhealthy regions removed from rotation automatically; the global service survives single-region failure.
- DNS, anycast, managed plus compliance routing. Three mechanisms with different tradeoffs; geo-routing for data residency adds a regulatory dimension.
The approach
The practical approach is DNS-based routing for most HTTP workloads (Route 53 latency policies, Cloud DNS routing), anycast for ultra-low-latency requirements (CDN anycast, Global Accelerator), health-check-driven failover regardless of mechanism, regular game-day exercises that test the failover under controlled conditions, and a documented per-property routing strategy committed to the infrastructure repo so the design is reviewable.
- DNS-based for HTTP. Route 53 latency policies or Cloud DNS routing; matches most HTTP workloads with manageable operational complexity.
- Anycast for ultra-low latency. CDN anycast or AWS Global Accelerator; matches latency-sensitive workloads where DNS TTL drift is too slow.
- Health-check-driven. All approaches use health checks; the failover happens without operator intervention.
- Test the failover plus documented topology. Game-day exercises validate the design; per-property routing strategy committed for investigation.
Why this compounds
Global load balancing compounds across services. Each correct deployment produces ongoing latency and resilience benefits; the team builds a vocabulary for traffic distribution that pays off on every new global service; the multi-region pattern becomes a default rather than a special case. Without the discipline, every new global service re-derives the routing strategy.
- Global latency. Right routing produces fast users; the user-facing latency tracks the nearest region rather than the origin.
- Resilience. Multi-region tolerance survives regional outages; the service stays up when one region fails.
- Compliance support. Geo-routing matches data residency requirements; opens markets that require local data handling.
- Institutional knowledge. Each routing decision teaches networking patterns; the team learns when DNS suffices versus when anycast is required.
Global load balancing is an infrastructure investment that pays off across years. Nova AI Ops integrates with traffic telemetry, surfaces routing patterns, and supports the team’s traffic-distribution discipline.