Predictive Workflow Integrity: Autonomous Triage & Resilience at Scale
In distributed systems, workflow failures cascade silently until catastrophic. This session introduces the Predictive Workflow Integrity (PWI) resilience model—a production framework for detecting, triaging, and rerouting failures in real time across event-driven enterprise architectures. Deployed at Walmart Technologies ($1B+ transaction volumes), this covers Autonomous Incident Triage and Ring-Based Geolocation Routing—reducing MTTD from ~12 min to under 1 min, MTTM from ~45 min to 10-12 min, and false positives from 18% to 4%. Attendees learn: distributed state machines for workflow health, ML-based anomaly detection in Kafka pipelines, sub-second geolocation failover (5s to under 1s), and eliminating 3 AM alert fatigue through autonomous triage. Battle-tested patterns from production at scale—not toy examples.
Sobre Rohit Wadhwa
Rohit Wadhwa is a senior software engineer and architect with over 15 years of experience in full-stack development, system architecture, and leading cross-functional engineering teams. He specializes in large-scale, cloud-native applications using Java, Spring Boot, React, and React Native, with deep expertise across AWS, Azure, and GCP. Currently at Walmart Technologies, Rohit leads development of next-generation omnichannel POS applications supporting web and mobile platforms, contributing to transaction volumes exceeding $1 billion. He drives architectural design, chaos engineering, and production resiliency initiatives across multiple Scrum teams. His expertise spans distributed systems, event-driven architectures, ML integration, and microservices. He holds a Master's in Computer Science and is recognized for building resilient, high-performance enterprise systems at scale.
