PagerDuty AIOps Harnesses the Power of AI, Built-in Automation, and the Company’s Foundational Data Model to Transform Modern Operations for the Enterprise

Customers using PagerDuty AIOps saw an average of 87% noise reduction and deployed automated incident response 9x faster than existing solutions

PagerDuty, Inc, a global leader in digital operations management, today announced the general availability of PagerDuty AIOps, a solution that delivers end-to-end automation, from event ingestion through auto-remediation, to reliably process high volumes of data and events and resolve incidents quickly. PagerDuty AIOps leverages machine learning (ML) and proprietary artificial intelligence (AI) to optimize PagerDuty’s foundational data model, reducing complexity, automating more of the incident response process, and preventing costly incidents.

The PagerDuty AIOps solution goes beyond servicing the needs of developers and distributed teams to also address operations teams including network operations centers (NOCs), site reliability engineers (SREs), and ITOps. Every moment wasted on unnecessary noise and manual diagnostic tasks delays incident response and puts both customer experience and revenue at risk. On average, customers who participated in the early access release for PagerDuty AIOps reduced noise by 87% and deployed automated incident response 9x faster than existing solutions. Early access customers also experienced the ease of implementation compared to industry alternatives that require months of setup and model tuning.

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PagerDuty AIOps includes:

  • Event correlation, noise compression, and triage context functionality freeing SREs and information technology (IT) teams from managing multiple vendors and manual processes to a single powerful solution that drives to resolution quickly.
  • End-to-end automation, from event ingestion through auto-remediation, to help teams shift from reactive to proactive by capturing and actioning critical events before they become value-destroying incidents.
  • Advanced noise reduction features (available in our early access program) that group alerts across services and allow customers to leverage both defined rules and machine learning to only surface the incidents that matter.
  • A visibility console that gives operations teams a single source of truth to monitor and quickly manage all incidents before major incidents occur with far-ranging business, IT, and financial impacts.
  • Global Event Orchestration, a powerful decision engine to enrich and control routing or trigger self-healing actions.
  • With more than 700 integrations on the PagerDuty Operations Cloud platform, teams can trust PagerDuty’s automation-led, people-centric AIOps solution to help save time and money.

“PagerDuty AIOps is a game-changing solution, delivering fast time-to-value for our early access customers and eliminating the need for difficult- and expensive-to-implement event management tools and AIOps offerings of the previous generation,” said Jennifer Tejada, CEO and Chairperson at PagerDuty. “PagerDuty AIOps is deeply integrated into our Operations Cloud platform, including our 700-strong integrations across our ecosystem. Our customers can reduce their cost of operations, mitigate business risk, and improve productivity, allowing them to focus their time on growth and innovation.”

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As enterprises seek to maximize efficiency with leaner teams, IT leaders are being asked to reduce total cost of operations ownership, support revenue growth and innovation, and mitigate risk to protect customer trust. Unlike other solutions in the market, PagerDuty AIOps is easy to implement and has a quick payback period without the burden of a drawn-out, expensive implementation.

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AIOpsauto-remediationBuilt-in Automationdigital operations managementend-to-end automationGlobal Event Orchestrationnetwork operations centersNewsPagerDutypeople-centric AIOpsRevenuesite reliability engineersTransform Modern Operations