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The latest News and Information on Incident Management, On-Call, Incident Response and related technologies.

pagerduty

5 Ways IT Leaders Are Using AI to Improve Operations in 2026

Aug 11, 2026 By PagerDuty In PagerDuty
As the world is racing to plug AI into nearly every part of business, especially software engineering, the stakes to maintain operational integrity have never been higher. AI-generated code and AI-agents ship faster than human SREs can prepare for, which can create costly issues down the line: incidents get harder to predict and more expensive to recover from.
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Incident.io

We turned off Pub/Sub and nobody noticed

Aug 11, 2026 By Engineering In Incident.io
Like many modern software stacks, the incident.io platform is predominantly event-driven. For example, whenever you send us an alert, post a message to our agent on Slack, or update an entry in your Catalog - these are all events that then get enqueued on a message topic, meaning any of our downstream components that are interested in that event can subscribe and react asynchronously, such as sending a push notification or posting a reply to you in Slack.
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pagerly

Cloud Outage Resilience: On-Call Lessons for 2026

Aug 10, 2026 By Falit Jain In Pagerly
Cloud outage resilience has quietly become the most important reliability topic of the year. Analysts now treat large scale cloud downtime as a matter of when, not if. Forrester has predicted at least two major multi day hyperscaler outages in 2026, and the reasoning is hard to argue with. AWS, Azure, and Google Cloud together account for well over half of enterprise cloud spending, so when any one of them stumbles, a huge slice of the digital economy stumbles with it.
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signl4

Stop Chasing Field Technicians - Track Work Progress with One-Tap Status Updates

Aug 10, 2026 By SIGNL4 In SIGNL4
Field service managers need visibility into more than just whether a technician has arrived. They need to know when work begins, when it’s completed, and when the technician is heading to the next job. Without a simple, consistent way to communicate these milestones, dispatchers and supervisors are left making phone calls and sending text messages just to find out what’s happening. Most of the time, nothing is wrong.
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pagerly

Incident Communication Lessons From Spotify Outages

Aug 9, 2026 By Falit Jain In Pagerly
Good incident communication is the difference between an outage your users forgive and an outage that quietly pushes them toward a competitor. That lesson landed hard in late July 2026, when Gergely Orosz of The Pragmatic Engineer publicly walked away from publishing video podcasts on Spotify after a run of reliability failures. The bug that broke publishing was almost beside the point.
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From Incident Data to Operational Knowledge: A Safer Role for Generative AI in IT Ops

From Incident Data to Operational Knowledge: A Safer Role for Generative AI in IT Ops

Aug 9, 2026 By OpsMatters In OpsMatters
IT operations teams produce an enormous amount of information. Alerts, logs, incident messages, deployment records, support tickets, runbooks and post-incident reviews all contain operational knowledge. The problem is that much of this knowledge remains fragmented and difficult to reuse. Generative artificial intelligence can help organise and transform this information, but its safest role is not unrestricted control over production infrastructure. Its strongest initial use cases involve reading, summarising, classifying and drafting information for an engineer to review.
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pagerly

Alert Fatigue Is Now a Reliability Risk in 2026

Aug 8, 2026 By Falit Jain In Pagerly
Two big reliability surveys landed in 2026, and together they deliver an uncomfortable verdict: alert fatigue has stopped being a morale complaint and turned into a measurable production risk. Engineers are drowning in signals, most of which mean nothing, and the noise is now directly causing outages.
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pagerly

AI-Related Outages Are Reshaping On-Call in 2026

Aug 7, 2026 By Falit Jain In Pagerly
AI-related outages just moved from a fringe worry to a mainline reliability problem, and the on-call rotation is where that shift lands first. A new StackGen analysis of nearly 178,000 public status-page records found that incidents disclosed by AI model and AI application companies now account for more than one in ten reported outages, a sixfold jump from 1.7 percent in 2023 to 10.7 percent so far in 2026.
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