Operations | Monitoring | ITSM | DevOps | Cloud

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Why Service Architecture Matters: A Practical Guide

Apr 29, 2026 By Débora Cambé In PagerDuty
It’s 2 a.m. An alert fires. You acknowledge it, pull up the monitoring dashboard, and immediately hit a wall: Which team owns this? What services does it impact? Worse: this is the third time this month you’ve been paged for the same issue, and you still don’t have a clear path to fix it. What should take minutes stretches into hours of Slack threads, escalation guesswork, and frantic context gathering.
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Future-Proof your services with agentic AI Operations Cloud

Apr 29, 2026 By Sam Chun In PagerDuty
Digital services are the engine of your modern business, but keeping them running feels like a constant battle. The rapid increase in the volume and speed of operational data is a direct result of growing architectures and more intricate workloads. Alert fatigue is causing your teams to be slow and reactive in addressing incidents, and this is a surefire path to burnout. The pace of this new reality is beyond what traditional, human-led processes can match.
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Automate your critical workflows with AI agents in 5 steps

Apr 28, 2026 By Sam Chun In PagerDuty
Many teams remain bogged down by operational chaos and manual drudgery, even with access to a variety of automation solutions. These tools often operate in silos, creating disconnected islands of automation that require significant human effort to bridge. Agentic AI offers a path forward, creating a cohesive system that can intelligently and autonomously handle complex operational workflows.
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SRE agent vs. traditional engineer: 7 key differences

Apr 27, 2026 By Sam Chun In PagerDuty
The role of a Site Reliability Engineer (SRE) is evolving. The focus has shifted from simply working harder during an outage; A new kind of teammate is here to help: the SRE Agent. But what are the key differences when you compare an SRE agent versus a traditional site reliability engineer? This isn’t just a superficial change. It signifies a fundamental alteration in how teams construct and sustain dependable services.
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MCP Apps: On Call Compensation Report and Service Dependency Graph

Apr 17, 2026 By PagerDuty Inc. In PagerDuty
This April, PagerDuty's MCP server expands with powerful new capabilities across Analytics & Reporting and Business Services. Teams can now surface aggregate incident data, service metrics, and team metrics — giving operators instant access to the operational insights that matter most. On the Business Services side, the release adds business service dependencies, subscriber management, impacted services analysis, and priority mapping. Rounding out the release are two new MCP Apps (on our experimental branch): Service Dependency graph. and an On-call Compensation report.
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PagerDuty Invests in the AI-First Operations and Resilience of Healthcare and Crisis Response Organizations

Apr 16, 2026 By Debbie O'Brien In PagerDuty
At PagerDuty, we believe operational excellence and social impact are inseparable. As AI rapidly transforms how nonprofits operate, our AI and agentic technology empower mission-driven teams to automate complexity and focus their limited resources on what matters most: delivering reliable services that create meaningful impact at scale.
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CEO Fireside at HumanX: Resilience at the Speed of Change

Apr 9, 2026 By PagerDuty Inc. In PagerDuty
PagerDuty CEO and Chairperson Jennifer Tejada in conversation on April 8, 2026 at HumanX in San Francisco with Honeycomb CEO Christine Yen and journalist Jennifer Strong, show how observability and real-time response help builders spot issues sooner, fix them faster, and learn from every incident.
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How to Prevent and Resolve Incidents Using Model Context Protocol (MCP)

Apr 6, 2026 By Hannah Culver In PagerDuty
The rapid pace of modern software development, fueled by AI-driven coding and accelerated deployment cycles, has resurfaced a challenge that many development teams already struggled with: the speed of incident response must now match the speed of change. Every day, teams ship code faster than ever, which inevitably increases the risk of a new issue making it to production. The traditional approach—where engineers waste time jumping between disconnected tools—is no longer sustainable.
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