Operations | Monitoring | ITSM | DevOps | Cloud

Autocreated for incidents matching your top two priority types, consolidating communication, actions, and audit trails in one place. Reduce noise in shared channels and accelerate your response.

A major platform modernization bringing Java 17, Spring Boot 3, native Prometheus monitoring, and meaningful performance and security improvements to your automation stack.#AIOps.

AI Orchestrations analyzes historical event and incident data, including past responder behavior, and surfaces actionable recommendations for event orchestration rules that reduce noise, improve triage, and lower MTTR — so teams can spend more time innovating and less time fighting fires.#AIOps.

PagerDuty's agent app shows live incident state, incident history and change correlations inside GitHub so you can get context right within your PR without interrupting your flow. Automatically correlate incident data with recent commits and deployments to identify root causes, then generate fix PRs with proper incident linking.#IncidentResponse.

PagerDuty’s monthly drops are here! July’s drop delivers AI Orchestrations (Generally Available), Runbook Automation/Rundeck 6.0 (GA forthcoming), Dedicated Incident Channels in Slack (GA), and PagerDuty agent app in GitHub Agent HQ (Early Access).

At LLMday Lisbon, our Software Engineer, Viktor Vasylkovskyi, highlights the realities of building production AI agents with LangGraph - sometimes getting it right, often learning the hard way. This talk is about what was actually shipped, including a distributed multi-agent setup at PagerDuty. Viktor breaks down the real tradeoffs between LLM-driven and deterministic orchestration, what broke, and how he’d approach it differently now.

You've seen the updates about our new Shift-Based Schedules update. Join us Thursday to get a deeper look at how you can use the new features to create the schedules you need for your teams!

The PagerDuty team lifts the hood on the newly rolled out Shift-Based Schedules. This session breaks down how PagerDuty is moving away from layer-based architecture to a flexible system that natively scales with modern engineering teams and naturally fits their workflows. Timestamps: Speakers: Ken Choate (Software Engineer) Kelsey Yocum (Sr. Product Designer) MJ (Sr. Engineering Manager) Todd Murphy (Principal Product Manager)

Scribe Agent enriches two new Incident Workflow actions: add a Google Meet bridge and automatically transcribe it from the moment it starts, and post Periodic Incident Progress updates to the incident channel, enhanced with context from the ongoing call. Responders stay focused on resolution. Stakeholders stay informed. Critical incident knowledge documented.

Recorded during the PagerDuty User Group Toronto, May 2026 - part of Toronto Tech Week. About PagerDuty User Groups: Connect with PagerDuty users, share your experiences, and learn new ways to maximize the power of digital operations. It's a space where technical leaders and practitioners come together to collaborate, solve challenges, and get inspired by each other's successes.