Synthetic User Monitoring

Speed Test Features

Synthetic user monitoring is a web page test and speed test module and it's features are

  • Test the website from around the globe
  • Simulate with real user browsers
  • Configure connections speed to simulate the real user connection
  • Provision to get the status of the first time view and repeat view
  • Provision to test website with multi-steps transaction
  • Simulate with actual mobile device and mobile browsers
  • Generate alerts on breach of set warning and critical value

Speed Test Report

Resource Timing

Synthetic user monitoring report gives the diagnostic information through waterfall chart. From the waterfall chart, it is easy to get the resource timing of below resources

  • DNS lookup time
  • Connection Time
  • Sending time
  • First buffer time
  • Receiving time
  • Start Render time

Using the above report, it is very easy to identify the issues related to local ISP, network or server. Combining the test along with Real user Monitoring, Application stack monitoring and profiling will help to pin down the problem to the exact time period. Our apm analytic engine will provide information about the application stack behavior and this analysis further will lead to root cause of the issue and identify the bottleneck effectively.

The Start Render time is the first point in time that something was displayed to the screen.  Before this point in time the user was staring at a blank page. This should be within 5 sec as per the industry standard for better user experience

‍Customer List

IIT Madras
IDFC Bank
MetricStream
Merittrac
Hexaware
HCL Technologies
Global Analytics
Enstar Group
Datascan
Daimler Chrysler Research & Technology
Curatio
Compuware
CompassLabs
Cognizant
TVS Logistics
Star Health
WIPRO
Verizon
Ultramatics
Swaas
Shipnet
RCS
Adrenalin
L&T Infotech

Dr. V. Krithika, M.S., Ph.D.
Honorary Guide
Expert - Healthcare Data Analytics
Passionate about the mathematical concepts behind ML/AI, Management
Sriraman Kalyanaraman
Senior Project Advisor, ICSR, IIT Madras
Principal Data Architect, Resileo Labs
Research on data analytics/Machine learning.
Development of data models for different industries
Planning for dashboard visualization and dashboard security
Development of APM open source tool - APPEDO
Pichumani Nagarajan
Founder & CEO, Resileo Labs

Data analytics, ML, AI
Entrepreneurship
Kaushik Raghavan
Data Architect, Resileo Labs

Data analytics, ML, AI
Test automation
Internet scale performance testing and tuning
Currently doing PhD at IIIT-DM Kanchipuram on data analytics