Actionable Alerts: What Makes Alerts Truly Helpful?
There’s a big difference between alerts generated by continuous IT monitoring and production systems and alerts that actually help people solve problems. We call those actionable alerts.
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The latest News and Information on Incident Management, On-Call, Incident Response and related technologies.
3 Things IT Leaders Are Learning About AI-First Operations: Key Takeaways From PagerDuty on Tour 2026
In December 2025, an AI coding agent at AWS suddenly decided to delete and rebuild an entire production environment, causing a 13-hour service disruption and a PR headache for Amazon. As rapid adoption of AI leads to more high-profile, revenue-impacting incidents, resilience has moved from a technical concern to a board-level financial risk.
Incident Review with Factory / Sentry
Learn how to user agents to turn Slack alerts into autonomous RCA sessions, build incident memory, and help on-call engineers move from signal to fix faster. Join us for the live stream demo of Incident Response. We will break things on stream and let agents fix them. We will watch Droid run a real incident from alert to fix, and we show exactly what it read to get there.
The 13 Questions CEOs Ask After an Incident (And What IT Leaders Must Be Ready to Answer)
It’s 2:47 p.m. Your checkout service has been down for 11 minutes. Customers are screenshotting errors and calling in. Your CEO walks into your office and starts asking questions. In this moment, there are two kinds of IT leaders: Whether you walk out with more budget authority (and executive trust) or less depends on your answers, and the infrastructure that supports them. But preparation isn’t just about surviving the incident. It’s actually a revenue opportunity.
AT&T Email-to-Text Is Gone - Need an Alternative?
If you relied on AT&T Email-to-Text to notify people on the go or on call, SIGNL4 is an easy-to-use replacement. Alerting people stays simple with SIGNL4. It's easy to get started and goes beyond basic text messages by helping ensure someone responds.
IT problem management VS. IT incident management, and how agentic ITOps improves both
Picture a familiar scene: a critical application goes down during peak business hours, and your on-call engineers scramble to restore service. Two weeks later, the same application fails again, frustrating your teams with the same symptoms, the same scramble, and the same customer frustration. If this pattern feels familiar, your organization may be strong at IT incident management, but underinvested in IT problem management.
Why Regular IT Health Checks Help Prevent Downtime and Improve Business Resilience
Most IT problems do not announce themselves. A backup job quietly fails for three weeks before anyone notices. A firewall rule left open "temporarily" during a project stays open for a year. A former employee's account still has admin rights nobody remembered to remove. None of these cause trouble on the day they happen. They cause trouble later, usually at the worst possible time. This very difference between when these problems start and when they finally become a source of trouble is precisely what a routine IT health check is supposed to bridge.
From AIOps to agentic ITOps: Why AI for IT operations has entered a new era
Enterprise IT has reached an inflection point. Your teams are responsible for hybrid cloud infrastructure, microservices, third-party dependencies, and shipping AI-generated code at unprecedented velocity. IT environments are becoming more complex faster than traditional tools and processes can keep pace. Alert volumes keep climbing. Institutional knowledge keeps walking out the door. And the pressure to do more with flat or shrinking budgets isn’t letting up.
Your AI agents are lost: give them a graph
The biggest limitation facing enterprise AI agents may not be the model. It may be the context surrounding it. Anthony Alcaraz, Senior AI/ML Portfolio Growth Manager at AWS and co-author of O'Reilly's *Agentic GraphRAG*, joins Humans of Reliability to explain why reliable agents need more than a vector database and a large context window. They need structured knowledge they can navigate, memory they can prune, constraints they can follow, and feedback loops that help them improve.
Don't add a read replica until you've read this
As the size and complexity of their relational database workload grows, every company eventually goes through the process of off-loading work on a read replica. It comes with lots of benefits, but at a cost of increased complexity. This article is about how we dealt with that, a lot of learnings, and some useful techniques. incident.io is an incident management product relied on by thousands of customers to be the thing that supports them through anything from a minor blip to a full outage.