@JuliaW17473435

Can you try connecting your app to PDC and verify data is flowing; PDC already captures response times and gives monthly percentiles, which you can export as CSV and load into your app. For API calls, add a tiny wrapper around each Service-REST/SOAP activity to log one row per call into a custom data type, with fields like APIName, pxStartTime, pxElapsedMS, HTTPStatus, and TTFBMS; use pxElapsedMS as a server-side proxy for time-to-first-byte. Create a nightly Job Scheduler to aggregate those raw rows by month into a summary table calculating count of calls, p75 response time, and p75 TTFB. To compute percentiles, use your DB’s percentile function in a Report Definition or compute p75 in a Data Flow with a custom aggregator. Add simple buckets with WHEN rules or CASE expressions to count calls by performance level, for example good when p75 ≤ 1s and acceptable when p75 ≤ 2.5s. Build a dashboard in App Studio with four widgets: monthly p75 response time, monthly p75 TTFB, total API volume, and count by performance bucket. For LCP, capture it in the browser with a small Web-Vitals script and post it to a Pega service that writes to the same metrics table, then include its monthly p75 on the dashboard. Share data by scheduling RD exports to CSV or using BIX to push the monthly summary to S3 or email, and use the dashboard for live views.