Runtime Performance

The current runtime performance of Acme's application presents some challenges, particularly noticeable during key user interactions. While the application generally loads quickly on first visit, subsequent interactions such as navigating between pages, submitting forms, or loading dynamic content show noticeable lags.

These performance hitches can be attributed to several factors. First, the application seems to be making redundant API calls. For instance, data that has already been fetched once is often re-fetched during the same session, leading to unnecessary wait times for users. Efficient caching strategies can be employed to address this.

Secondly, the application's frontend does not seem to be optimized for efficient rendering. Some parts of the UI experience jank, especially during animations or transitions. This can be due to inefficient JavaScript execution or non-optimal use of CSS. Leveraging browser developer tools can help pinpoint specific bottlenecks.

Lastly, the use of older or non-optimized third-party libraries could be adding to the runtime overhead. Periodically reviewing and updating these libraries can lead to substantial performance gains.

Web Vital Metrics

Web Vitals have become a cornerstone of evaluating web performance, especially from a user's perspective.

For Acme, some of these metrics show room for improvement:

• First Contentful Paint (FCP): This metric, which indicates the time it takes for the first piece of content to render on the screen, needs improvement. Slow FCP can be a result of large stylesheets, non-optimized images, or server latencies.
• Time to Interactive (TTI): Currently satisfactory, this metric indicates the time it takes for the page to become fully interactive. While Acme's TTI is decent, there's always room to enhance by deferring non-critical JavaScript or optimizing main thread work.
• Speed Index: This is below average for Acme. Speed Index measures how quickly the content of a page is visibly populated. Techniques such as lazy loading offscreen images or prioritizing visible content can be beneficial here.
• Total Blocking Time (TBT) & Largest Contentful Paint (LCP): Both these metrics can be improved by optimizing the critical rendering path, reducing server response times, and serving compressed assets.
• Cumulative Layout Shift (CLS): Minimal shifts are observed, which is good. However, ensuring that images have set dimensions and ads or embeds are dynamically loaded can further stabilize this metric.