From Reactive to Resilient: Using AI and ML to build Self Healing Deployment Pipelines

Event overview

Turning deployment intelligence into continuous resilience

This session explored how AI and ML can improve deployment reliability by predicting failures, automating mitigation, and accelerating recovery. The talk focused on practical implementation patterns for engineering teams transitioning from reactive operations to proactive resilience engineering.

• Using telemetry to detect pre-failure deployment signals.
• Integrating model-driven checks into CI/CD release gates.
• Designing incident-response loops that learn over time.