Web & Cloud
The web and cloud tier is where scale lives. Servers store long histories, run models too heavy for a device, and serve dashboards to any browser. This unlocks capability a wearable cannot match, at the cost of latency and a dependency on the network. Where on device processing favors privacy and reliability, the cloud favors depth and reach, and most systems use both, drawing the line according to what each task needs.
Web & Cloud
Storage at scale
Long histories
The cloud can retain far more than a device, holding months or years of sessions in one place. This long history is what makes trend analysis and season long comparison possible. It also concentrates data, which raises the stakes of how it is secured, governed, and eventually deleted when no longer needed.
Heavier computation
Models a device cannot run
Freed from a wearable's power and memory budget, the cloud can run models far too large for a device. This unlocks analysis that on device inference cannot attempt. The trade is latency and a dependency on connectivity, which is why time critical work often stays local while deeper analysis is deferred to the cloud.
Delivery to the browser
Dashboards anywhere
Serving results to a browser puts dashboards within reach of any device without installing software, which suits coaches and analysts reviewing data across a squad. The web tier is the delivery layer where aggregated insight becomes something a person can explore, compare, and share.
The cost of the cloud
Latency and dependency
Sending data to a distant server introduces delay and makes a system reliant on the network being available. For review and long term analysis this is a fair trade; for live, on site feedback it can be disqualifying. Knowing which tasks tolerate the cloud and which need the edge is a central architectural judgment.