Page speed information Our application makes batch requests

[juty555]

PageSpeed ​​Insights on behalf of the user. We queue one request per web page and send them at regular intervals determined by the maximum “Queries per Minute” advertised by PageSpeed, which is currently 240, and we may have many pending requests at any given time. We use a 250 millisecond timer between requests to enforce this. As far as I can tell, this should all be within the allowed parameters of the API, however, the API seems to stumble frequently and periodically return batch responses of PageSpeedApi request error 500: The request could not be processed. Please wait a while and try again. The requests are valid, so it appears that the API is refusing to serve the responses as fast as we are sending the requests. In response to this, we implement a finite “bucket” of pending requests, which we arbitrarily set at 50. That is, we can only have 50 pending requests at any given time, and when we reach that limit we will stop sending any more requests until we reach that limit. in the cube have been resolved, leaving room for more to come out. In practice, our application is more limited by this bucket than by the 240 requests per second timer. This brings our “real” request rate down to about 150 per minute, and alleviates the problem somewhat, but we still occasionally have batches of requests return with the 500 error.



Facebook in Spanish from Spain for free Middle East Phone Number List Google page information – The FID: time it takes for the page to load completely (from the DOM). It corresponds to the time it takes the browser to completely load the page. Indicates the time elapsed between the time the user interacts with an element on your page and the time the browser is ready to respond to their request. The scores displayed range from 0 to 100 points. Don't worry, if your site is not 100% everywhere, that's normal! Few sites achieve this because the criteria are very strict. But you must try to get the highest score possible. Browsers such as Chrome and Firefox are capable of offering a reduced version of a page. By enabling gzip compression, these pages can be reduced by 90%. Thus, instead of serving the user the full page, the browser directly retrieves the compressed version on small screens. Minifying the code means removing unnecessary or repetitive data without disturbing its loading and display of the page in the browser. Bad coding is usually the cause of this problem, but don't panic, there are solutions to minify your code, without having to start from scratch: Page information Once you save that in the code, you can run the entire script and go through the interface to do your tests. You will have the option of sending an Excel file (with the first cell labeled “URL”) or by copying and pasting the URLs into the program. The site speed test will take place in the background while you are free to do other tasks or just stare at your screen being proud to bring some automation to your work. Once the script has finished running, you will be prompted to save an .xlsx file with the data.







The result should be something similar to this. The file will have three different speed metrics between desktop and mobile. For more information on each of these metrics, see the PageSpeed ​​Insights documentation. Without the UIFor those who want additional PageSpeed ​​metrics, or just want to tinker with the source code I've written, there are two parts to working with. API I would emphasize. Building the URLs/Making the API Call Building the URL is done in a function using Urllib, which encodes the URL in a REST-friendly format while also allowing for flexibility. Once the URL is developed, it can be called using requests to receive the nested JSON output file. Tools for project management Google page speed test Sort your page reports by your page speed score to prioritize the biggest areas of opportunity on your site. Page reports use easy-to-read visualizations that allow you to quickly focus on the data most important to improve the performance of your sites. Take a snapshot of any report summary screen to store that data for future retrieval. Add comments to your snapshots to give them additional meaning, such as “Before installing W3 Total Cache.” Additionally, filter a Report Summary before taking a Snapshot to save a summary of the filtered data.