Operations | Monitoring | ITSM | DevOps | Cloud

AWS re:Invent 2025 - Smarter Incident Response with Logz.io and PagerDuty

In this session, Jacky Leybman from PagerDuty and David Lotan Bolotnikoff from Logz.io showcase how PagerDuty and Logz.io combine generative AI with rich historical context to automate root cause analysis and accelerate incident response. By correlating real-time telemetry with prior incidents and runbooks, teams reduce manual toil and MTTR while maintaining human-in-the-loop oversight and transparent reasoning.

AWS re:Invent 2025 AI-First Incident Management in Slack

Jacky Leybman from PagerDuty and Kaninie Knight from Slack share how their integration streamlines incident response and real-time collaboration. This session highlights practical workflows and measurable gains – such as faster triage and lower MTTR – achieved by connecting on-call operations directly in Slack.

Demo Roundups! Building Resilient On-Call Operations for the Holiday Season

The holidays are retailers' make-or-break moment - when every minute of downtime directly impacts revenue and customer experience. Join us for a retail-focused deep dive into building holiday-ready on-call operations that protect your peak season revenue. We'll demonstrate how PagerDuty's new scheduling experience and AI assistance ensure seamless coverage during your busiest - and most critical - time of year.

Unlock Faster Incident Resolution with PagerDuty + Logz.io

Join us live as we demo how PagerDuty and Logz.io work together to supercharge your Root Cause Analysis. See how real-time observability and enriched incident context can help your team detect, triage, and resolve issues in minutes—not hours. Don’t miss this chance to see the integration in action, ask questions, and learn how to keep your teams in sync while driving continuous improvement. Perfect for anyone looking to level up their incident response!