Nowon Lee

I fixed missing and incorrect measurements over time so dashboard users could accurately check server status. I aligned metric names and labels with actual responses and corrected ratio calculations. I also traced why measurements that should stay separate were being combined and updated how they are identified.

I changed queries to fetch only values after the previous request time, reducing data transferred over 10 minutes from 96.5 MB to 41 KB. I designed and implemented a Next.js API so the browser would not call Prometheus directly. I compared the deployed dashboard with actual responses to verify the displayed values.

I designed the frontend so users could keep track of the current stage and elapsed time during document generation, which takes 5–10 minutes. I added a confirmation step before leaving the page or canceling generation.

After SSE events, the client checks the server status again so the page reflects the actual state even if events arrive out of order or the connection fails. I reduced API requests to check document generation status from 150–200 to 30 or fewer. After deployment, I verified that generation and cancellation states matched the progress shown on the page.

For API responses of up to 330 MB, I reduced the maximum interval between frame updates from 1,316.6 ms to 16.8 ms. I designed a module that moves API requests, JSON parsing, and display-value conversion into a Web Worker and applied it across multiple pages to keep them responsive while processing responses.

I merged historical values loaded after refresh with new streamed values on the same time basis, keeping the chart continuous without duplicates. I recombined split JSON fragments with the next chunk so real-time updates could continue.

I made more than 70 key authenticated-user flows repeatably testable before release. This coverage surfaced a mismatch between credentials retained in the browser and an expired server session.

I applied the same recovery behavior before users accessed pages that require login and when authentication failed during use, so users received a consistent response. I handled root-cause analysis and deployed the shared recovery behavior to the QA environment.

I configured a Vite library build so a previously standalone frontend could be used in another app. I organized type declarations, CSS, and provider integration to keep the UI and behavior consistent in the host app.

I made the page respond to user requests immediately, without waiting for a server response. I addressed mismatches between information on the page and server values, and reduced the request count by removing duplicate requests.

I reduced the time it took for pages to become visible to users. I documented the steps so other frontend projects could apply the same improvements.

I used Chrome DevTools to find and fix intermittent WebSocket disconnections that stopped real-time information from updating.