Edge Computing That Processes Where Users Are

When latency matters, users are geographically distributed, or data residency rules restrict where you can process information. If your users are mostly in one region and latency isn’t critical, centralized infrastructure is simpler and cheaper.

CDNs cache and serve static content. Edge computing runs code at those locations. You can transform requests, personalize responses, authenticate users, and process data without round trips to your origin server.

No. Most architectures use both. Edge handles latency-sensitive tasks like routing, personalization, and real-time validation. Central infrastructure handles heavy processing, databases, and workloads that don’t need to be distributed.

It depends on the use case. Some data tolerates eventual consistency and replicates globally. Other data needs strong consistency and routes to a primary region. We design the architecture based on what each workload actually requires.

We instrument edge functions with tracing and logging that flows to centralized observability tools. You see performance by region, trace requests across edge and origin, and debug issues regardless of which location served the request.

We configure edge locations to process data in specific geographies and prevent it from leaving. Request routing ensures users in regulated regions hit compliant edge nodes, and data never crosses borders that regulations prohibit.