PagerDuty announced a new addition to PagerDuty Copilot, the Company’s family of previously announced assistive automation capabilities for the PagerDuty Operations Cloud.
The PagerDuty Operations Cloud combines Incident Management, AIOps, Automation, and Customer Service Operations in a flexible, easy-to-use platform designed for mission-critical, time-sensitive, high-impact work across IT, DevOps, security, and business teams. The latest PagerDuty Copilot offering is a Slack-based, generative AI assistant that delivers helpful insight across the entire incident lifecycle.
From drafting postmortems to authoring automation jobs, PagerDuty Copilot acts as an expert partner to PagerDuty users and reduces the burden of repetitive and time-consuming tasks. The intuitive engagement model delivers a consumer-style simplicity to the critical work managed by the PagerDuty Operations Cloud – unlocking the full value of AI and automation to improve the efficiency of managing complex digital operations across the digital enterprise.
The Slack-based generative AI assistant, available for early access, empowers users with contextual support surrounding an issue, helps to identify the contributing factors/problem isolation, and suggests paths for remediation, resulting in faster resolution.
Responders can interact with the assistant while investigating probable cause by surfacing change events, suggested paths for remediation, and additional insights to guide toward resolution. PagerDuty Copilot can answer questions like, “What happened?,” “What changed?,” and “What’s the customer impact?,” removing some of the mental load on responders and automating time-intensive tasks. The natural language, Slack-based interface inserts the power of the PagerDuty Operations Cloud directly into the flow of where operations work happens, while intelligently performing time-consuming tasks, enabling users to build automation jobs and connect and analyze information from multiple sources.
By bringing humans and this technology together, PagerDuty’s Copilot equips operations teams with automation and AI that help resolve revenue-impacting issues, resulting in a better customer experience.
“The speed and power in which generative AI can surface information and actionable insights represent a once-in-a-generation technological shift,” said Tim Armandpour, Chief Technology Officer at PagerDuty. “Building upon our deep expertise in operations, PagerDuty Copilot provides our customers with a depth of expert skills they need today to solve their challenges.”
The Latest
In MEAN TIME TO INSIGHT Episode 12, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses purchasing new network observability solutions....
There's an image problem with mobile app security. While it's critical for highly regulated industries like financial services, it is often overlooked in others. This usually comes down to development priorities, which typically fall into three categories: user experience, app performance, and app security. When dealing with finite resources such as time, shifting priorities, and team skill sets, engineering teams often have to prioritize one over the others. Usually, security is the odd man out ...
IT outages, caused by poor-quality software updates, are no longer rare incidents but rather frequent occurrences, directly impacting over half of US consumers. According to the 2024 Software Failure Sentiment Report from Harness, many now equate these failures to critical public health crises ...
In just a few months, Google will again head to Washington DC and meet with the government for a two-week remedy trial to cement the fate of what happens to Chrome and its search business in the face of ongoing antitrust court case(s). Or, Google may proactively decide to make changes, putting the power in its hands to outline a suitable remedy. Regardless of the outcome, one thing is sure: there will be far more implications for AI than just a shift in Google's Search business ...
In today's fast-paced digital world, Application Performance Monitoring (APM) is crucial for maintaining the health of an organization's digital ecosystem. However, the complexities of modern IT environments, including distributed architectures, hybrid clouds, and dynamic workloads, present significant challenges ... This blog explores the challenges of implementing application performance monitoring (APM) and offers strategies for overcoming them ...
Service disruptions remain a critical concern for IT and business executives, with 88% of respondents saying they believe another major incident will occur in the next 12 months, according to a study from PagerDuty ...
IT infrastructure (on-premises, cloud, or hybrid) is becoming larger and more complex. IT management tools need data to drive better decision making and more process automation to complement manual intervention by IT staff. That is why smart organizations invest in the systems and strategies needed to make their IT infrastructure more resilient in the event of disruption, and why many are turning to application performance monitoring (APM) in conjunction with high availability (HA) clusters ...
In today's data-driven world, the management of databases has become increasingly complex and critical. The following are findings from Redgate's 2025 The State of the Database Landscape report ...
With the 2027 deadline for SAP S/4HANA migrations fast approaching, organizations are accelerating their transition plans ... For organizations that intend to remain on SAP ECC in the near-term, the focus has shifted to improving operational efficiencies and meeting demands for faster cycle times ...
As applications expand and systems intertwine, performance bottlenecks, quality lapses, and disjointed pipelines threaten progress. To stay ahead, leading organizations are turning to three foundational strategies: developer-first observability, API platform adoption, and sustainable test growth ...