Every organization wants to innovate, but the reality is that operational friction can grind even the most ambitious plans to a halt. A delayed response here, an inactionable alert there, and suddenly your engineers are spending more time firefighting than building. Context is scattered across tools, and the “big picture” is lost in a sea of alerts and thumbnail-sized dashboards that provide no context or direction. Momentum stalls, and the cost isn’t just measured in downtime—it’s measured in missed opportunities, lost customer trust, and frustrated teams.

But what if you could turn that friction into fuel for innovation? PagerDuty and AWS are built to do just that, clearing the roadblocks that keep teams stuck in reactive mode and empowering them to move fast, learn faster, and deliver more value to customers.

AI-Driven Automation: From Reactive to Proactive

Innovation thrives on speed and clarity. PagerDuty and AWS bring together AI-driven signal detection, intelligent automation, and deep integrations across your tech stack to help you shift from reactive to proactive operations.

Here’s how the PagerDuty Operations Cloud platform transforms your approach:

• Spot risks early: AI-powered signals continuously monitor your environment, detecting anomalies, identifying patterns, and surfacing critical issues before they escalate. Instead of drowning in alert noise, your team gets actionable insights that matter.
• Accelerate recovery: Automated diagnostics, resolutions, and updates—powered by predefined runbooks and seamless toolchain integrations and secured with zero-trust listeners—mean incidents are resolved faster, with less manual effort. Your team can focus on root causes and long-term fixes, not just quick patches.
• Deliver better customer experiences: The platform adapts to change, supporting everything from new product launches to evolving customer demands. With real-time analytics and unified context, you can anticipate issues and delight customers with reliable, responsive service.

PagerDuty Advance is our latest evolution in agentic and generative AI capabilities, delivered by Amazon Bedrock with access to trusted large language models. Early adopters have reported saving 30 minutes per incident. That’s not just a time saver—it’s a game changer, freeing up your best minds to focus on innovation instead of incident triage.

Smarter Decisions With Connected Data

PagerDuty Advance’s new integration with the Amazon Q index brings AI-powered intelligence directly into incident management, enabling response teams to quickly and securely access enterprise knowledge across IT systems. Our partnership with AWS, which has evolved and grown since 2013, now leverages generative and agentic AI to enhance operational efficiency, allowing PagerDuty to pull in data from over 100 SaaS apps like Confluence and GitHub and surface relevant information in chat, reducing incident resolution times by up to 30%. The integration delivers cost optimization, richer context for decision-making, and enterprise-grade security by ensuring data is accessed securely and in compliance with industry standards, making AI-driven operations a new essential for competitive, resilient businesses.

This integration represents a significant step forward in our mission to transform how enterprises handle operational challenges with AI and automation at the forefront. Imagine a world where your digital operations aren’t just fast—they are intelligent.  PagerDuty can surface relevant context from across your apps and services, recommend next steps, and even automate parts of the response. The result? Fewer repeat incidents, more consistent processes, and a culture of continuous improvement.

PagerDuty and AWS: Real-World Use Cases

So, how are teams actually using PagerDuty and AWS together to protect business continuity while driving innovation and operational excellence? Here are three real-world scenarios that showcase the power of this partnership:

1. Cloud Migration
   Organizations across industries are embracing cloud migration and digital transformation to stay competitive. PagerDuty’s integrations with AWS services like EC2, S3, Lambda, and CloudWatch provide real-time visibility, intelligent automation, and built-in remediation throughout the migration process. Teams can detect issues early, route complex challenges to the right experts, and stay focused on delivering new value—not just managing risk.
2. Service and Network Operations
   Managing operational complexity is a challenge for any modern IT team. PagerDuty AIOps, built on AWS, leverages machine learning, event-driven automation, and contextual intelligence to consolidate thousands of alerts into a handful of actionable incidents. Teams have reported reducing alert volume by up to 87%, accelerating resolution, and codifying best practices across services and environments, resulting in less noise, faster fixes, and more time for innovation.
3. FinOps for Financial Services
   Financial institutions face unique challenges around cost optimization, security, and compliance. PagerDuty helps automate AWS Trusted Advisor recommendations—like reclaiming unused Reserved Instances, right-sizing EC2 or RDS instances, and cleaning up idle resources. With PagerDuty’s automation framework and AWS cost insights, teams can optimize cloud spend while maintaining the security and compliance standards their industry requires.

Ready to Turn Chaos Into Opportunity?

Modern environments are full of risks that can derail momentum. The difference between a disruption and a disaster often comes down to readiness—clear roles, connected systems, and real-time insight when it matters most. Protect business continuity with PagerDuty built on AWS and build the road for innovation, turning operational chaos into your next big opportunity.

Ready to see what’s possible? Explore PagerDuty on the AWS Marketplace.