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

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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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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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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incidenthub

The August 6, 2026 GitHub Actions Outage: Queued Jobs, Throttled Webhooks, Impact Lasting 10 Hours

Aug 7, 2026 By Hrishikesh Barua In IncidentHub
On August 6, 2026, GitHub opened an incident for degraded Actions performance at 15:22 UTC. Within about twenty minutes, Actions availability was listed as degraded, workflow runs were failing to start or failing partway through, and the Actions REST API was returning errors. Pages was pulled into the same incident shortly afterwards. The status page marked Actions and Pages as mitigated at 00:05 UTC on August 7, and closed the incident at 02:04 UTC.
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pagerly

AI Provider Outages: An On Call Playbook

Aug 6, 2026 By Falit Jain In Pagerly
On the morning of August 5, 2026, a major AI provider went dark for roughly seven and a half hours, and thousands of engineering teams learned in real time what an AI provider outage actually costs them. Anthropic's Claude models returned elevated error rates and failed API requests starting around 3:00 AM Eastern, and applications that quietly route user traffic through a large language model suddenly had no model to route to. Chatbots stopped answering. Summarization pipelines stalled.
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