Teja Swaroop Mylavarapu, Capital One, Lead Software Engineer

Problem:
Today, we all live in Interconnected Systems where one Service has multiple dependencies on other Services. Any downtime on these downstream Services/endpoints impacts the Upstream Services causing severe Customer impact.

Solution:
Intelligent and Predictive Failover is a solution/mechanism which identifies errors and failures even before the actual Customer request. It intelligently Clusters the Services and applies Proactive Monitoring with failover predictibility. I will be talking about Intelligent tracking of anomalies & health checks with Threshold triggering alarms, latency based region detection with traffic failover & failback. The focus will be on how to predict failures and reduce customer impact and improvise on previous patterns.

I will deep dive on Infrastructure, Resiliency with Predictive failover mechanism, Intelligent Monitoring, Anomaly detection, Auto failover & failback Mechanisms & explain scenarios with Chaos Engineering.This talk will leverage AWS to explain the idea & can be applied to any Cloud Technologies for implementation.
This is a patent pending idea with USPTO.