Prompt
I'm building a multi-region API setup and need request routing
Latest observation
Sure — request routing in a multi-region API setup usually comes down to choosing how clients reach a region and how requests are steered across regions safely.
Common routing patterns
1) Global DNS routing
Use a global DNS provider to return the IP/hostname of the nearest or healthiest region.
Pros
- Simple
- Cheap
- Easy to operate
Cons
- DNS caching can make failover slow
- Limited per-request intelligence
- Harder to do fine-grained traffic shaping
Best for
- Basic geo routing
- Active-active setups with tolerant failover requirements
2) Global load balancer / edge proxy
Put a global traffic manager in front of regional services.
Examples:
- Cloudflare Load Balancer
- AWS Route 53 + Global Accelerator
- Azure Front Door
- GCP Cloud Load Balancing
Pros
- Faster failover
- Health checks
- Can do geo, latency, weighted, and failover routing
- Better control than DNS alone
Cons
- More cost
- More moving parts
- Can introduce an extra hop
Best for
- Production multi-region APIs
- Low-latency or high-availability requirements
3) Client-side routing
The client or SDK selects the region, often using a region map or service discovery endpoint.
Pros
- Very flexible
- Can optimize based on user/session/business logic
Cons
- More complex clients
- Harder to update
- Not ideal for public APIs without controlled clients
Best for
- Internal services
- Mobile/desktop apps with managed SDKs
Routing strategies
Latency-based
Route to the region with the lowest estimated latency.
Good when:
- You want speed
- Regions are similar in capability
Watch out for:
- Users getting bounced unexpectedly
- Cross-region data access increasing latency
Geo-based
Route by user geography.
Good when:
- Data residency matters
- You want users to stay in a nearby region
Watch out for:
- Geography does not always equal lowest latency
- Border cases can be inconsistent
Weighted
Send some percentage of traffic to each region.
Good when:
- Gradual rollouts
- Canarying a new region
- Load balancing uneven capacity
Failover / active-passive
Primary region handles traffic until it fails, then secondary takes over.
Good when:
- Simplicity matters
- Strong consistency or simpler data architecture is needed
Downside:
- Secondary capacity may sit idle
- Failover can still be tricky if data is not replicated properly
Active-active
Multiple regions serve traffic simultaneously.
Good when:
- You need higher availability
- You want lower latency globally
Watch out for:
- Data consistency
- Session affinity
- Conflict resolution
- Operational complexity
Key design concerns
1) Session and state handling
If requests can move between regions, avoid region-local session state unless you have:
- Stateless auth tokens
- Shared session store
- Sticky routing
2) Data locality
If your API reads/writes a database, route users to the region where their data lives when possible.
3) Health checks
Use:
- Liveness checks for instance health
- Readiness checks for regional readiness
- Synthetic checks from multiple geographies if possible
4) Failover behavior
Decide:
- Automatic or manual failover?
- How fast should it happen?
- What happens to in-flight requests?
- Do you retry at the edge or client?
5) Idempotency
If requests might be retried across regions, ensure:
- POST/PUT operations are idempotent where possible
- Idempotency keys are supported for writes
Practical recommendation
For most multi-region APIs, a strong default is:
- Global load balancer or edge proxy
- Latency-based routing
- Health checks with automatic failover
- Stateless API tier
- Region-aware data strategy
- Weighted routing for gradual cutovers
Simple architecture example
Client
-> Global edge / load balancer
-> Region A API
-> Region B API
-> Region C API
Routing decision based on:
- Geo/latency
- Regional health
- Weighted policy
- Failover if unhealthy
If you want, I can also help you design:
- a routing architecture for AWS/Azure/GCP,
- a failover strategy,
- or a routing decision flowchart for your API.