Applicare helps teams understand the complete Flutter Web experience — from application health, crashes and screen performance to network calls and the backend services and databases behind every request.
Flutter Web applications render in the browser and depend on APIs, services and databases behind them. When something feels slow or breaks, the cause can sit in the app, the network or the backend. Applicare puts all three in one place.
Application health, crashes, screen performance and sessions show how the application feels to real users.
Follow a request from the end user and Flutter application through the browser and network to application services and databases.
Spot where attention is needed, which screens and calls are slow, and which users and devices are affected.
Each view in the Flutter tab answers a specific question about the application.
Crash-free sessions and users, stability, handled exceptions, resource failures, ANRs and hangs, and a crash-free trend over time.
Errors per hour by kind, a breakdown of crash kinds, top crash groups ranked by users affected, and a triage list by status.
Slowest screens, time to initial display, frame health and the slowest individual transactions, with trends for each screen.
Latency, call outcomes, slow endpoints, destination hosts, response sizes and an endpoint table where any call can be opened.
Current calls with their duration, status and screen. Select a call and the charts above filter to it.
Session length, screens per session, SDK versions, per-session timelines, plus country, browser, device and OS breakdowns.
A narrated tour of Flutter Web monitoring in Applicare, using a demo application with sample data. Runtime 4:42.
Move from the symptom a user feels to the request, service or query responsible.
Rank screens by time to initial display, compare views against load time, and examine frame health to see which parts of the application may be affecting responsiveness.
Examine latency, request outcomes, errors, slow endpoints and destination hosts to quickly isolate where communication is breaking down or slowing the experience.
Open a call and see the journey from the end user and Flutter application through network activity, application services, databases and downstream dependencies — with timing that shows where the transaction is actually spending its time.
The full trace splits a call between the device and the backend, and the waterfall lays the same work out against time so you can see what ran, in what order, and for how long.
Applicare follows a request through every tier it touches, so the browser experience and the backend work are read together instead of in separate tools.
Tiers and timings are shown per transaction in the Applicare trace view.
ArcIn is the AI layer of the Applicare platform. It works from the same telemetry Applicare collects, so signals from the application, network, services and infrastructure can be considered together.
Relates symptoms across the layers Applicare monitors, rather than leaving each view to be read on its own.
Helps point investigation toward the likely cause so teams spend less time searching.
Works alongside the views on this page — health, crashes, network and traces.
Understand health, crashes, screens and network activity — and trace any transaction from the browser to the backend.