Moodle event observers “fire” asynchronously based on events that get triggered by user activity, and so… hard to catch and debug by simply passing the XDEBUG variable via the browser.
BigBlueButton provides a script to install BigBlueButton with single command but it is always better to go through each step, so that you know what is really being done and makes it easy to do any modification or debug any error.
Understand some of the highlights of MySQL Cluster 7.4:
Moodle can be made to perform very well, at small usage levels or scaling up to many thousands of users. The factors involved in performance are basically the same as for any PHP-based database-driven system. When trying to optimize your server, try to focus on the factor which will make the most difference to the user. For example, if you have relatively more users browsing than accessing the database, look to improve the webserver performance.
SPX, which stands for Simple Profiling eXtension, is just another profiling extension for PHP.
It differentiates itself from other similar extensions as being:
Retrace collects an amazing amount of details about what is happening at the code level within your application. It is a gold mine for developers who are trying to troubleshoot bugs and look for ways to optimize their code.
Tideways saves you time by taking the guesswork out of your app’s backend performance. Gain detailed insights, spot performance bottlenecks, and get real-time error detection alerts.
“Big Data includes huge volume, high velocity and extensible variety of data, both structured and unstructured. Analysis and examination of this data plays a big role in making a better decisions and lead to strategic business moves. In this research, we are focusing on analysis of Moodle e-learning platform database with aim of improving the educational process. Using the concept of learning analytics we are trying to better understand teaching and learning processes in order to get as much as possible from educators and learners which are the main actors in the mentioned activities. The standard procedures that are specific to the databases will take a lot more time to do this. To facilitate this process, big data processing tools are used. Here, we also present the possibility of analyzing big data in the cloud. For the purpose of this research, we developed a framework for big data analysis.”
The QAN is a special dashboard which enables database administrators and application developers to analyze database queries over periods of time and find performance problems. QAN helps you optimize database performance by making sure that queries are executed as expected and within the shortest time possible. In case of problems, you can see which queries may be the cause and get detailed metrics for them.
Source: PMM Query Analytics