Web & Software

Edge Computing

Edge Computing moves data processing from the central data center to the edge of the network — closer to the end user. For web applications, this means: code runs on servers in over 100 global locations instead of a single region. Latency drops below 50 milliseconds worldwide, enabling real-time personalization and lightning-fast interactions.

Why does this matter?

Edge Computing is especially relevant for businesses with international customers or latency-sensitive applications. Instead of a user in Tokyo waiting for responses from Frankfurt, their request is processed at the nearest edge location. For e-commerce, this means: faster pages, better conversion rates, and a user experience like a local application.

How IJONIS uses this

We use Vercel Edge Functions and Cloudflare Workers for edge processing: A/B tests, geo-personalization, bot detection, and API proxying — all directly at the edge without round-trips to the origin server. For AI applications, we leverage edge inference to run models locally and keep sensitive data within the respective legal jurisdiction.

Frequently Asked Questions

What is the difference between Edge Computing and serverless?
Serverless functions run in a specific cloud region (e.g., Frankfurt). Edge functions run simultaneously at 100+ locations worldwide and always execute at the nearest location to the user. Edge is a subcategory of serverless — with the additional benefit of global distribution and minimal latency.
What limitations does Edge Computing have?
Edge functions have limited runtime (typically 25-30 seconds) and do not support all Node.js APIs. Database access requires edge-compatible solutions like Planetscale, Neon, or Turso. For compute-intensive tasks, serverless in a dedicated region remains better suited. We choose the right approach based on requirements.

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