
Edge Deployment Finally Made Sense for Our Team in 2026 — Here's Why It Took This Long
Back in January, we had a user in Melbourne complaining about 800ms API response times. Our API runs on a single-region setup in us-east-1 — has done for three years, works fine for most of our US/UK users, never really bothered us enough to fix. Then we added an AI-assisted feature (a real-time text classification thing, nothing fancy) and suddenly the latency problem became impossible to ignore. Running inference in one AWS region and serving users in Sydney, Mumbai, or São Paulo? That's a bad time. So I spent the better part of February testing whether edge deployment was actually the answer or just the thing everyone on Twitter kept telling me was the answer. Short version: it helped. But not in the ways I expected. The Edge Runtime Reality Check Let me back up a second. When people say "edge computing," they're usually collapsing several distinct things into one label: CDN-adjacent compute (Cloudflare Workers, Fastly Compute), platform-specific edge functions (Vercel Edge Function
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