APM and Data Analytics

Application Performance Monitoring

360 degree view:

360 degree performance view allows to view synthetic monitoring, real user monitoring, application server and database monitoring in one place. User is allowed to configure different services and customize dashboard view. Dashboard view allows the user to view selected counters.

User View:

Synthetic User Monitor view allows to view the performance of page resources from around the globe using real browsers at customer connection speeds. Real User Monitor view gives performance from location, device, browser, OS of real users visiting the website.

OPS View:

Dev Ops or IT Ops view allows to monitor the application, server and database complete stack using their performance counters. Configure warning and critical values to enable alerts for all of the counters. Application monitoring is supported with java and dot net profiler, to get the stack trace of all class and method. Profiler has option to exclude or include class and this feature ensures the load on CPU and Memory is optimized.

QA View:

QA View allows to configure load or performance test. Load Testing tool allows to generate script, upload script and perform concurrency test. Load test feature include configuring virtual users, ramp up, duration, iteration and distribution of virtual users from different regions across globe. Also allows to do load test from LAN/WAN environment.

Availability Monitoring:

Availability Index is one key measurement to the CIOs and IT heads. IT Infrastructure team and application teams work hard to get the apps responding faster. It is all the more important that users are able to access apps from their geo locations.

Log Monitoring:

Applications and subsystems write log files continuously. What exactly happened during error and exception situations, are visible only when you view the log files. Don't let your important log information vaporize into a black-hole. Take control of it.

Data Analytics

  1. Embrace open source analytics.
  2. Scale to Tera bytes of data.
  3. Easy and practical ETL adaptors to standardized data models.
  4. 100s of off-the-shelf built-in analytics for various verticals.
  5. Zero-learning user interface to build complex charts and dashboards.
  6. Fully role based data access.
  7. Verticalized analytics for – Banking, Insurance, Manufacturing, Healthcare, Non-profit, Government etc.
  8. Tested Machine Learning models
  9. Prediction using AI libraries.
  10. Expert consulting by data scientists.
  11. Works on commodity hardware, cloud and on-premises.