Additional information: HTTP Transactions Summary
Total Transactions: 81 HTTP transactions were recorded.
all of which were GET requests, with a couple of POST requests for analytics.
Data Transactions: There were 0 data transactions, indicating
that this analysis primarily comprised requests for resources
and not for sending user data (though there are POST requests for analytics purposes).
Main Use Cases: The most significant resource categories are:
Documents: The primary request for the HTML document is at /service/.
Stylesheets: Multiple CSS files, which contribute to the visual styling of the page.
Scripts: Various JavaScript files for functionality, including jQuery and custom scripts.
Fonts: A considerable number of requests for font files, specifically from Google Fonts,.
Performance Insights
Redirects:
The initial request to -www.clien.net resulted in a 302 redirect to -www.clien.net/service/.
This could add unnecessary latency if not managed well.
Resource Load Times and Sizes:
The largest single resource was clien.css at 390 KB, which took 505 ms to load.
Multiple scripts, like jquery-ui.min.js (248 KB), had relatively higher load times (>700 ms).
Several font files, particularly from Google Fonts,
ranged between 15 and 75 KB and appeared to have varied latency, with some over 800 ms for larger files.
HTTP/2 Utilisation:
The presence of HTTP/2 requests is a positive indication.
as it allows multiple requests to be sent for loading resources simultaneously, reducing overall load times compared to HTTP/1.1.
Most fonts and scripts are served over HTTP/2, which optimises delivery speed.
Latency Variability:
Several requests, particularly those to Google Tag Manager and OpenX, showed significant latency (up to 3710 ms).
which can affect perceived performance. These resources should be monitored or optimised to improve loading times.
Latency for font and Javascript files was observed in the 200–1000 ms range, indicating possible areas for optimisation.
External Resources:
Multiple resources (like scripts from Google, Twitter widgets, and font services) are loaded from third-party sites.
which can impact performance depending on those external servers’ response times.
Recommendations for Improvement
Optimise Resource Loading:
Consider minimising the size of the largest CSS and JavaScript files through minification
or by bundling resources to reduce the number of requests.
Evaluate if all fonts are necessary or if some can be removed or substituted to decrease load time.
Reduce Redirects:
If feasible, avoid unnecessary redirects. If moving to a new URL is not essential,
consider configuring the server to serve content directly without additional steps.
Asynchronous Loading:
Implement asynchronous loading for non-critical JS/CSS files to improve overall page speed.
especially for those that do not need to block rendering.
Caching Strategies:
Implement suitable caching strategies for frequently accessed resources to minimise load times for returning users.
Monitor Third-Party Dependencies:
Regularly check the performance of third-party scripts and services.
If they introduce too much latency, explore options to replace them with more efficient alternatives.
Use Compression:
Enable GZIP or Brotli compression on server responses to decrease the size of transmitted resources;
this would help with the overall load time.
Conclusion
The transaction log for -www.clien.net reveals a functional site operating with a mixture of resources that contribute to the user experience. While the site utilises modern protocols like HTTP/2, there are opportunities to enhance performance and accessibility through optimisations. Regular performance monitoring and adjustments can significantly improve the user experience on the website.
polonus (aided by AI)