Got an opportunity to work on time series data and Anomaly detection application on Data center.
This system is capable
of monitoring health of servers and provides remediation whenever server is
unhealthy. Our Intelligent system uses Machine Learning to detect or forecast
Anomalies and warn the Service providers to ensure timely action
·We have designed the
Orchestrator in such a way that it monitors those specific services which are
added to our database. When any service goes down it raises a ticket, then it
will run corresponding remediation solution to resolve the issue. Finally it
closes the ticket after it completes the resolution.
·ELK Stack is used to
collect the data/stats from specific server for monitoring health, in turn we
use machine learning models to predict the anomaly in the data captured for the
·In the similar way our
machine learning model also forecasts the future potential anomalies based on
specified criteria and raise a warning ticket for timely action hence it is
capable of preventing upcoming issues Used Plotly for visualizing the plots.