AppAchhi

Start by connecting your repository and CI/CD system, then create a project and select where you want tests to run: real mobile devices, simulators, or desktop browsers. Upload an Android or iOS build, or point to a staging URL for web. Import your existing Appium, Selenium, or TestNG suites, map environment variables and secrets, and define the device/browser matrix. From there, launch parallel executions on demand or on every commit. Each run produces artifacts, logs, videos, and step-by-step diagnostics you can share with your team or attach to issues.

For mobile pipelines, choose the OS versions and models you care about and pass your Appium capabilities. Enable network shaping to mimic spotty connectivity or high-latency conditions. While tests run, the platform automatically records memory growth, processor usage, and network throughput for each step. When a failure occurs, you get a timeline that aligns UI actions with resource spikes, leak indicators, and crash details. Use the summary to decide whether to hotfix, roll back, or proceed. Export a full report—video, device logs, and profiling graphs—to your tracker so developers can reproduce quickly. Re-run the same scenario after a fix to validate improvements.

For web coverage, spin up a browser grid across Chrome, Firefox, Safari, and Edge with specified versions and viewports. Execute Selenium flows in parallel and collect detailed network traces to spot slow endpoints or chatty resources. Simulate constrained bandwidth to see how pages behave under pressure. Compare load times across builds and set thresholds that automatically fail a run when performance drifts. Correlate console errors and HTTP failures with the exact test steps to cut triage time and isolate root causes faster.

Use role-based access to keep projects organized: grant read-only access to stakeholders, editor access to QA, and admin rights to release managers. The built-in assistant can scaffold a fast sanity pack—app launch, login, basic navigation—that runs as a gate before longer suites. Wire it into your CI so every pull request gets a stability signal, and only healthy builds move forward. Track history by branch or tag, view trends for CPU, memory, and network anomalies, and centralize all runs and reports in one place. Notify the team on Slack or email when regressions appear, and keep a clean audit trail from commit to release.