Operations | Monitoring | ITSM | DevOps | Cloud

We are on the ground with AWS and announcing innovations that give customers more powerful AI agents for incident management. These new and improved integrations bring PagerDuty context into the AWS ecosystem for faster resolution and more connected data across the business. And, with our new competency, we take this a step further by codifying these best practices into our joint customers’ day-to-day operations. Announced today, here are some of the highlights.

As organizations continue to adopt OnPage across regions and operational environments, providing an experience that feels natural and intuitive for every user has become increasingly important. Clear communication is essential in time-sensitive workflows, and being able to use the app in one’s preferred language supports clarity, confidence, and consistency. To support our growing global user base, OnPage is introducing multi-language localization across its mobile applications.

The end of the year brings pressure. (Oh, we know!) Customer demand spikes, response expectations stay high, and engineering teams are juggling production issues, releases, and time off. For many teams, this is when on-call becomes chaotic: schedules break, notifications hit at the wrong time, and coverage gaps appear exactly when you can’t afford them. ‍ ilert's Holidays and Support hours features were built to fix that.

Over the last few years, AI has quietly shifted from a fascinating experiment to a core operational system. Enterprises aren’t just building prototypes anymore — they’re deploying LLMs into production environments where uptime directly affects customer interactions, revenue flows, and business continuity. AI has essentially become a new layer of critical infrastructure. Because of that shift, the definition of “reliability” is changing.

Every production system will eventually break. It's not pessimism, it's just reality. That's why engineers go on-call, and why companies invest heavily in incident response tooling. But here's the problem: the moment an engineer goes on call, they typically need elevated access to production systems, databases, and sensitive customer data. And that elevated access? It's often permanent, overly broad, and a security nightmare waiting to happen.

When the issue settles, and systems are back, one question always remains: What actually happened, and how do we stop it from happening again? That’s where incident postmortems come in. Not just as documentation, but as a structured way to learn, improve reliability, and replace guessing with clarity. A good postmortem isn’t about blame, heroics, or perfect narratives. It’s about truth, learning, and building systems that get stronger with every failure.

Incident response teams deal with several challenges. Alert noise, unclear ownership, lack of automation, and more. It’s important to keep an eye on these challenges and resolve them from time to time because they can turn minor issues into major outages. In this blog, we’ll discuss some of the common incident response challenges, how they affect, and how you can resolve them. Let’s dive in!

Incidents don’t wait. They hit production, disrupt users, and pull teams into long recovery cycles. And a well-structured incident response team helps you move fast, limit damage, and restore services without chaos. In this blog, we’ll explain what an incident response team is, its key functions, team composition, and different types of teams. Let’s get started!

Cloud outages like the recent ones at Cloudflare, Microsoft Azure, and AWS can have a significant impact on your business with downtime, lost revenue, and unhappy customers. They can also disrupt your team's ability to work effectively. To stay on top of such outages, your team needs to know about them in an easy and timely way. In this article, we will see how to integrate IncidentHub cloud outage alerts with Microsoft Teams.