IT teams are inundated with an ever-expanding array of operational data. While collecting this data is straightforward, extracting meaningful insights that drive business value is anything but. This is where modern AIOps makes all the difference – and where PagerDuty stands apart. PagerDuty AIOps doesn’t contribute to tool sprawl and data overload, it tames it.

Beyond the AI Hype

Let’s be clear: while AI dominates today’s tech conversations, AIOps isn’t just another buzzword. Despite becoming a charged term that varies from vendor to vendor and from organization to organization, it’s a practical solution to real operational challenges. Whether you’ve known it as event management, event correlation, or event intelligence, the core need remains constant: separate the signal from the noise by turning overwhelming data into the next best action. Let’s define the core elements of AIOps solutions to improve your operational resilience and reclaim time for higher-value work.

What Are the Essential Elements of AIOps?

There’s no one-size-fits-all approach to AIOps. Every organization has different systems, priorities, and levels of maturity. Observability vendors may offer it as an add-on for their bespoke tooling, while platform vendors provide a more holistic approach centered around the way you work. At its core, AIOps is about assembling the right capabilities to help your teams manage complexity, act faster, and deliver real business value, today and into the future. Key elements of AIOps include:

1. Separating Signal from the Noise: Modern environments generate a flood of alerts, but not all are created equal. AIOps platforms must intelligently filter out the noise, surfacing only the most relevant signals so teams can focus on what matters.
2. Event Correlation and Enrichment: It’s not enough to know that something happened; you need to understand the context. By correlating related events and enriching them with additional data, AIOps helps teams quickly pinpoint root causes and reduce time-to-resolution.
3. Incident Visibility: True AIOps provides a unified view across the entire incident lifecycle, giving both central IT and DevOps teams the visibility they need to collaborate and resolve issues faster.
4. Multi-Telemetry Ingestion: Today’s IT environments are heterogeneous. AIOps must ingest and analyze data from a wide range of sources—cloud, on-prem, applications, infrastructure, and more—without being locked into a single observability vendor.
5. Intelligent processing and recommendations: Information should be surfaced when prompted by GenAI or, even better, autonomously collected and shared by agentic AI.

Tackle Operational Challenges with PagerDuty’s Platform-First Approach

PagerDuty AIOps drives results faster with a differentiated, platform-first approach that automates toil, reduces noise, and accelerates triage. It starts with ingestion: consolidating data, events, and signals from across observability tools and telemetry sources out of the box. This means you don’t need to re-architect your business so that all of your data flows into a single tool with strict data integrity standards. You can pull in data from wherever it lives—across clouds, monitoring tools, and custom sources—enabling a holistic, vendor-agnostic view of your operations. 

From there, PagerDuty’s AIOps is built to fit seamlessly into existing processes, driving to next best action and getting to the fix as soon as possible. PagerDuty automates whatever’s possible to deflect unnecessary noise and work from resource-strapped teams, returning valuable time to build and innovate faster. Where automation can’t resolve issues on its own, PagerDuty accelerates triage with actionable insight to build situational awareness throughout the incident lifecycle. A key characteristic that sets PagerDuty apart is how it’s built to help both central IT/network operations center and distributed developer teams reap the benefits of AIOps so they can work smarter, not harder. 

Preventing Incidents Saves Time for Innovation

PagerDuty AIOps serves as a powerful hub, enabling you to build automations, conduct incident response, and orchestrate resources to maximize efficiency for your business. PagerDuty’s AI-first approach to operations helps organizations move faster, work smarter, and make better decisions by tackling 3 archetypes of critical operations work:

• Well-understood incidents have clear causes and solutions – we know exactly what triggered them and how to fix them. These incidents are prime candidates for automation and AI to resolve autonomously since both the diagnosis and remediation are straightforward.
• Partially understood incidents have multiple possible causes, each with known solutions. The challenge here is quickly identifying the correct root cause to apply the right fix. Human discretion is required to set AI on the right path towards remediation. But make no mistake: for these incidents, AI and automation take the lead, bringing humans in only when necessary and with the right information to make decisions.
• New/novel and major incidents lack both defined causes and solutions, requiring teams to simultaneously diagnose and develop fixes. Here, humans run the show. AI and automation serve as trusty assistants that let humans do the complex reasoning we excel at.

Across all types of incidents, AI and automation serve a purpose and a function to help reduce costs and correlate signals across a complex environment. This powerful combination of automation and intelligence not only accelerates incident resolution, but also enables organizations to scale their operational capabilities. 

Three PagerDuty AIOps Capabilities Worth Their Weight In Gold

At PagerDuty, we believe AIOps should empower teams, not constrain them. That’s why our roadmap has been focused on leading the charge on serving both central IT/NOC and distributed teams to accelerate velocity, helping teams do more with less. Here are a few innovations that have helped transform our customers’ operations: 

1. Operations Console: Provides operations teams with a single pane of glass for visualizing and responding to time-critical incidents. Customize and share filters, collaborate as a team, and take action on incidents.
2. Alert Grouping: Reduce the noise instantly by grouping alerts across one or more services using built-in machine learning, your own logic, or both for precise correlation control
3. Event Orchestration: Enrich events, control their routing, and trigger self-healing actions based on event data. Teams can use this functionality across any or all services within PagerDuty.

PagerDuty customer Luke Rotta from Chicago Trading company shared, “Before PagerDuty, we sometimes had 50-200 alerts coming in at once. … That number is now down to 5-10.”

In fact, Forrester’s study on The Total Economic ImpactTM Of The PagerDuty Operations Cloud found that PagerDuty customers realized a 249% ROI over three years, achieved a 91% reduction in alert noise, helping teams prioritize critical incidents, and saw a 59% reduction in downtime, leading to improved productivity and reduced costs.* 

PagerDuty is a Leader in AIOps

In recognition of our approach, PagerDuty was named a Leader and Outperformer for the third consecutive year in the GigaOm Radar for AIOps, 2024 report. GigaOm analyst Dr. Shane Archiquette said, “With its well-respected collaboration and workflow abilities, the solution presents a strong case for large organizations with entrenched monitoring and observability tooling to gain an AI-assisted view of the enterprise.”

This flexibility is critical for modern enterprises, where different teams may use different tools, and where agility is key. PagerDuty’s platform ingests, correlates, and enriches data from across the most complex ecosystems, ensuring that both central IT and DevOps teams have the insights they need, when they need them.

Additionally, Forrester named PagerDuty a Leader in The Forrester Wave™: Process-Centric AI For IT Operations (AIOps), Q2 2023, citing our ability to deliver actionable insights and drive operational excellence.

Pioneering the Future: Where Human Expertise Meets AI-Powered Operations

As the AIOps landscape evolves, PagerDuty sets the standard, enabling organizations to transition from reactive firefighting to proactive, data-driven operations. By augmenting human expertise with AI-driven automation and insights, organizations can achieve unparalleled levels of operational efficiency, improve service reliability, and maintain competitive advantage in an increasingly complex digital landscape – all while ensuring their most valuable technical resources remain focused on innovation and business-critical initiatives. 

Ready to see how PagerDuty AIOps can transform your operations? Learn more here.

* For a composite organization representative of interviewed customers.