Home Brewing R.U.M - Analyzing application performance with real user monitoring
The objective of this session is to discuss the tools and techniques through which we can continuously monitor the performance experienced by the real end users instead of scripted test cases.
By continuously monitoring the performance bottlenecks, which may be Janks, slow page load, application errors, Ajax request performance & custom performance metrics, that user are encountering we can enrich their experience and hence our retention and conversion rates. It will also help in identifying the issues/errors that even a single user is encountering. In this session we will also discuss how to make such real user monitoring (R.U.M) system in-house using open source tools.
This session is targeted for web application and mobile app developers & testers, and also business stakeholders who want to see their application perform to the best of user expectations. After this session, participants will get an understanding of Real User Monitoring practices & advantages. They will be able to implement R.U.M processes in their projects and deliver exceptional performance to end users.
It is a true fact that performance experienced by real world users has direct impact on our application adoption rate.Good performance increases retention and conversion rates. Our primary aim should be to deliver value to an user, and make sure that they get the best possible user experience that delights them, and keeps them coming back for more. In this regard, monitoring user behaviour becomes imperative as it provides key metrics for web application performance. While developing web applications, developers test in their local environments, and also do user acceptance testing. But what happens once the application goes out onto the real world? The case I’m making here talks about analysing application performance once its in the hands of real users.
This is where real user monitoring a.k.a R.U.M comes in picture. R.U.M captures performance metrics such as bandwidth and page/view load times, user location, device type, carrier speed, application errors, Ajax request and application usage along with custom performance metrics that provides actionable business intelligence.
In R.U.M, we can then visualize performance over time for key metrics based on different average, geometric mean, median or percentile calculations. The performance data can be drilled down further on the basis of geography, device, error encountered, speed etc.
In the session we will cover
What is Real User Monitoring (R.U.M)
How Developers and Business can benefit from it
How to implement R.U.M for web and mobile applications
How to build your own R.U.M solution using open source tools like Elastic Search, LogStash and Kibana