Processing data closer to users at the network edge to reduce latency for real-time applications.
Edge Computing moves data processing from centralized cloud servers to locations closer to the end user -- at the 'edge' of the network. This includes CDN edge nodes, IoT gateways, and edge runtime environments like Cloudflare Workers or Vercel Edge Functions. By reducing the physical distance data travels, edge computing dramatically lowers latency, which is critical for real-time applications like gaming, video streaming, and IoT sensor processing. It also reduces bandwidth costs by processing data locally instead of sending everything to the cloud.
Application logic is deployed to edge nodes distributed across global points of presence (PoPs).
User requests are automatically routed to the nearest edge node using DNS-based or anycast routing.
The edge node processes the request locally, accessing cached data or running serverless functions.
Only when the edge cannot fulfill the request does it forward to the origin cloud server.
Serving personalized content with sub-50ms latency by running logic at the edge.
Filtering and aggregating sensor data at edge gateways before sending summaries to the cloud.
Using edge middleware for authentication, A/B testing, and geo-routing without origin round-trips.
Knowing the definition is step one. Building it into your product is step two. That's where we come in.