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

What IT Incident Management Can Teach Workplace Safety

In most modern enterprises, the playbook for a production outage is well understood. An alert fires. An on-call engineer responds within a documented service level. The incident is triaged, assigned a severity, and worked through to resolution by a team that has rehearsed the steps. Afterward, a postmortem is written. The root cause is identified, blameless analysis is performed, and the findings flow back into runbooks, monitoring rules, and training materials. The cycle is closed.

Replace Verizon Email-to-Text with OnPage's Paging / Critical Alerting Capabilities

It’s 2:00 AM on a Saturday. An energy company’s thermal storage system temperature violently spikes past safe operating thresholds. The monitoring system instantly fires off an emergency alert via a standard Verizon email-to-text gateway. But instead of waking the engineer, the message is delayed by the carrier network. By the time the on-call responder sees the text hours later, the equipment has failed, resulting in catastrophic downtime.

Slack outage on May 14, 2026

On May 14, 2026, users across multiple regions began reporting problems with Slack, including messaging failures, sign-in issues, and problems loading attachments and images. While the outage did not affect every user, reports quickly showed the issue was widespread enough to disrupt business communication for organizations around the world. StatusGator identified the incident through customer outage reports and triggered an Early Warning Signals alert at 14:21 UTC.

Product Update - May 2026

IncidentHub's latest product updates include a new Business plan with Teams support, early outage detection v1, and more integrations with ticketing systems. The public status now includes a disable feature. As before, many features are driven by feedback, and I am grateful to all our customers who have shared their feedback with us.

When the Report Cannot Tell the Story: Building Incident Programs That Capture as They Respond

Two weeks after a payments outage took a regional bank offline for ninety-three minutes, the post-incident report landed on the CIO’s desk. It ran forty pages. It named the failed service, the ticket numbers, the restoration steps, and the engineers who paged in. It did not answer the question the board had actually asked, which was why the on-call team had spent the first forty-one minutes chasing a downstream symptom rather than the upstream cause.

Problem Management vs. Incident Management

Why Fixing Incidents Is Only Half the Work Fixing an incident is not the same as solving a problem. In enterprise IT operations, that distinction carries significant operational weight. Organizations that treat every disruption as a discrete, isolated event to be resolved and closed will continue to encounter the same disruptions, on the same infrastructure, from the same root causes. The cycle does not end because the underlying problem was never addressed.

Jira Notifications Management: The Enterprise Guide to Routing, Reducing Noise, and Closing the Loop

Jira is the system of record for engineering work at nearly every enterprise that runs agile delivery. It tracks epics, stories, bugs, sprints, releases, and the long tail of technical debt that keeps platform teams awake. What Jira was never designed to be is an alerting system.

Why IT Teams Choose OnPage Over Opsgenie: 5 Key Benefits

With Atlassian announcing the sunsetting of Opsgenie, IT teams, MSPs, and cybersecurity professionals find themselves at a critical crossroads. Technical leaders are actively searching the market for reliable opsgenie alternatives to keep their infrastructure running smoothly and minimize downtime. While migrating platforms can feel like a frustrating chore, it’s actually the perfect opportunity to upgrade your incident response strategy.

LLM Observability: Lessons From MLOps w/ Maria Vechtomova (Cauchy)

For nine years, Maria Vechtomova was shouting about monitoring. Nobody cared, until LLMs arrived. As co-founder of Cauchy, Databricks MVP, and one of the most followed voices in MLOps, Maria has watched the field evolve from hand-built experiment trackers to today's flood of observability tools, and her central claim might surprise you: globally, nothing has changed. The fundamentals are the same: track your code, data, and models so you can roll back when something breaks.