Overview
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Explore how artificial intelligence transforms enterprise workflow orchestration in this 25-minute conference talk that addresses the limitations of traditional CI/CD pipelines and introduces predictive DevOps methodologies. Learn about the challenges facing conventional continuous integration and deployment processes, then discover how AI-driven approaches can revolutionize workflow management at scale. Examine a comprehensive system architecture that encompasses data collection, ingestion, and telemetry layers, while understanding how feature engineering and AI analysis contribute to intelligent workflow decisions. Dive into model layers designed for anomaly detection and explore sophisticated risk scoring engines that enable proactive issue identification. Follow an end-to-end predictive DevOps flow that demonstrates practical implementation strategies, and understand the operational benefits that organizations can achieve through AI-enhanced workflow orchestration, including improved reliability, reduced downtime, and enhanced deployment success rates.
Syllabus
Introduction and Overview
Agenda and Session Outline
Challenges with Traditional CICD
Understanding Predictive DevOps
System Overview and Data Collection
Ingestion and Telemetry Layer
Feature Engineering and AI Analysis
Model Layer and Anomaly Detection
Risk Scoring Engine
End-to-End Predictive DevOps Flow
Operational Benefits and Conclusion
Taught by
Conf42