Operations | Monitoring | ITSM | DevOps | Cloud

Author: Matthes Derdack Businesses rely on countless systems, applications, and services to operate without disruptions. Whether it is cloud infrastructure, manufacturing equipment, IoT devices, healthcare platforms, or enterprise applications, every second of downtime can impact revenue, customer trust, and operational efficiency.

There's a conversation I keep having with our design partners at incident.io. It starts when I ask "what are you doing with AI internally?" and lands in a similar place every time. The shape of how their engineering teams work is changing fast. Not in vague "AI is transforming everything" ways, but in concrete, repeatable patterns. Different companies are building the same things. The frontier teams are six to twelve months ahead of the average, and they're describing the same future.

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.

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.

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 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.