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PagerDuty agent app in GitHub: incident context where you already work

Jul 1, 2026 By Hannah Culver In PagerDuty
This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey toward autonomous operations. Read on to learn about the PagerDuty agent app in GitHub (Early Access) and how it builds toward this vision. How many tabs do you have open right now? And how many more do you open the moment an incident hits? Context switching during incident response is one of the most persistent sources of toil in engineering.
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AI Orchestrations: Your easy button for proactive operations

Jul 1, 2026 By Ariel Russo In PagerDuty
This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how AI Orchestrations builds towards this vision. “We should automate this.” Sound familiar? For many operations teams, that sentence never becomes action. Building event orchestration rules demands deep platform expertise, time no one has, and the ability to spot which patterns in your data actually matter.
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Rundeck/RBA 6.0: Modernizing the foundation your automation runs on

Jul 1, 2026 By Aatharsha Jeyachelvan In PagerDuty
This blog post is part of PagerDuty’s ongoing series on how we’re helping customers navigate their journey towards autonomous operations. Read on to learn about how PagerDuty’s Rundeck/RBA 6.0 recently announced in GA builds towards this vision.
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AI Is Not a Switch: The Real Path to AI-First Operations

Jun 29, 2026 By PagerDuty In PagerDuty
Organizations are no longer asking whether to adopt AI; that question is settled. The focus now is on reaching a point where AI is doing meaningful operational work—or as the industry calls it, being “AI-first.” But being “AI-first” isn’t binary. You don’t go from zero AI to meaningful autonomy by flipping a switch. In reality, getting there means moving through distinct stages.
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How AI-First Operations Unlocks Compounding Engineering Productivity

Jun 25, 2026 By PagerDuty In PagerDuty
Engineering teams have plenty of ideas, but they’re often short on time to act on them. As software systems grow more complex, an increasing share of engineering capacity is consumed by non-building activities: investigating alerts, coordinating fixes, and managing operational incidents. Every hour spent diagnosing failures is an hour not spent shipping features or experimenting with new product ideas. Over time, that lost capacity compounds.
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Multi-Agent Architectures - What we shipped, what broke, and what we'd do differently

Jun 24, 2026 By PagerDuty Inc. In PagerDuty
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.
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From firefighting to forward planning: a practical route to operational innovation

From firefighting to forward planning: a practical route to operational innovation

Jun 22, 2026 By Lee Fredricks, EMEA Solutions Consulting Director & Field CTO In PagerDuty
Operational innovation is often treated as a back-office efficiency exercise, but in practice, it is becoming a strategic discipline. As AI moves deeper into day-to-day operations, technical leaders need a clearer way to cut toil, reduce risk and build the capacity to innovate. For many operations teams, it starts with incident management. When responders are trapped in noisy alert streams, manual escalations and fragmented workflows, innovation is pushed aside by the urgent work of keeping services available.
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Resilience for an AI-Powered Future: PagerDuty's FY26 Impact Report

Jun 17, 2026 By Debbie O'Brien In PagerDuty
The impact vision for PagerDuty.org is to enable mission-driven teams to build a resilient world and a sustainable future for all. As a leader in modern, AI-first operations, we know that operational excellence supercharges social impact. As artificial intelligence rapidly reshapes the social sector, this commitment to resilience and efficiency has never been more vital.
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