Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

Choosing a HIPAA-compliant messaging app is rarely about security alone. Healthcare teams need messages that get read, on-call schedules that route to the right provider, and reliability that holds up at 3 a.m. Most apps clear the encryption bar. Fewer guarantee a missed page never happens. Or that critical alerts from medical systems and urgent after-hours calls from a discharged patient reach the right on-call staff.

From a redesigned navigation and the new ilert Marketplace to dynamic service mapping and on-prem alert delivery, here's everything that's shipped across this quarter.

For private medical practices in 2026, secure and efficient communication is non-negotiable. Standard consumer messaging apps like iMessage and WhatsApp are not compliant with privacy regulations and create significant risks for both patients and providers. Adopting a dedicated, HIPAA-secure messaging solution is essential for protecting patient data and streamlining clinical workflows.

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.