Operations | Monitoring | ITSM | DevOps | Cloud

The AI SRE landscape has exploded over the past year, with vendors racing to add artificial intelligence capabilities to their platforms. For engineering leaders evaluating these solutions, the sheer number of options can feel overwhelming. Some vendors are building AI-native solutions from scratch, while others are retrofitting AI onto existing workflows. Cloud providers are embedding agents into their ecosystems, and observability platforms are adding intelligence layers to their telemetry data.

Modern operations happen in Slack, where teams spend their days collaborating, troubleshooting, and resolving incidents. And while many incident management tools offer Slack-friendly experiences, they lack end-to-end capabilities that teams need. During critical moments, other tools may require users to switch between Slack and their own interfaces, creating friction.

If you feel like your incidents are multiplying while your stack gets more complex by the week, you’re not alone. Event volumes keep climbing, signals live in a dozen tools, and human responders are stretched thin. That’s exactly why we built the PagerDuty SRE Agent—a vendor‑agnostic AI teammate that improves with every response to make the next one faster, smarter, and more reliable.

An effective post-mortem can turn a security breach into a blueprint for lasting resilience. But too often, in the stress of an incident, documenting what happened takes a back seat to containment and recovery. The resulting analysis relies heavily on memory, scattered notes, and competing narratives. Valuable context gets lost, timelines blur, and lessons that could strengthen defenses never become institutional knowledge.

The best way to minimize the impact of an incident is to catch it early, before small issues snowball into major disruptions. That requires maintaining healthy systems and ensuring sufficient resources are available when problems arise. But developers and IT operations pros working in large enterprises face a challenge: Complex systems operate in an inherently degraded state. In his essay “How Complex Systems Fail,” Dr.

The engineer you pay $200,000 a year just spent an hour copy-pasting data between dashboards. Again. Software engineers have critical skills that are in the highest demand. And yet, many world-class engineers are currently spending too much of their time clearing tickets, routing alerts, and responding to the same types of incidents over and over again. This operational toil is costing you.

From the beginning, PagerDuty has been built by developers, for developers. Our mission has always been to help development teams build faster and resolve incidents more efficiently by meeting them where they work. Building on PagerDuty’s existing plugin for Spotify for Backstage, we are thrilled to announce the PagerDuty plugin for Spotify Portal for Backstage to continue bringing enterprise-grade incident management into even more developer workflows.

Today, we’re announcing that PagerDuty is now available in AWS QuickSuite through the Model Context Protocol (MCP). This means PagerDuty’s incident management capabilities can now connect with the 1,000+ applications and data sources that QuickSuite integrates with, from AWS services to enterprise SaaS platforms, all accessible through natural language.

Alex, an SRE at Greenagonia, starts the day knowing there’s a big launch coming. Pre-orders suggest a 5-10x increase in normal traffic, which means coffee needs to be extra strong this morning. As Alex scans through overnight alerts, he realizes he’s completely forgotten about a dentist appointment that overlaps with his upcoming on-call shift. Six months ago, this would have meant frantic Slack messages or at least one phone call. Today? Alex’s AI teammate has it covered.

Until recently, corporate sentiment around AI agents was cautiously optimistic. Now, we’re seeing confident action. Our latest international survey shows that 75% of companies have deployed more than one agent—up from 51% just six months ago.