Case Study: London School of Economics cuts web load times and eliminates registration errors with Splunk AppDynamics

London School of Economics cuts web-page load times from 15 seconds to milliseconds with Splunk

The London School of Economics (LSE) struggled with slow and unreliable digital services, particularly during high-stress periods like student course enrollment. Database bottlenecks were causing significant delays and errors, failing to meet the expectations of its 12,000 students. To gain observability into its hybrid IT environment and resolve these performance issues, LSE turned to Splunk and its AppDynamics application performance monitoring solution.

By implementing Splunk AppDynamics, LSE gained full observability across its systems, which allowed developers to identify and eliminate the root causes of performance bottlenecks. The solution enabled the university to cut student-facing webpage load times from 15 seconds down to milliseconds and completely eliminate hundreds of database errors during course registration. Splunk provided the necessary visibility to safeguard data and improve governance, ensuring a seamless and error-free experience for students.

London School Of Economics