Operations | Monitoring | ITSM | DevOps | Cloud

The biggest outages of 2026 are not being caused by a single server dying or one bad deploy. They are being caused by cascading failures, where healthy systems interact in ways nobody planned for and take each other down. That shift changes what good on-call looks like. If your incident response still assumes that "something broke" and one team owns the fix, you are going to be slow exactly when speed matters most.

If you have watched the incident channels light up over the past few weeks, you already sense the theme of 2026: cloud outages are no longer rare, dramatic once a year events. They are a steady drumbeat, and most of them trace back to the same root cause. Not a data center fire, not a rogue backhoe severing a fiber line, but a routine configuration change that went out, behaved differently than expected, and cascaded.

If your engineering team feels like the outage alerts have gotten louder in 2026, the data agrees with you. Strong on-call incident response has quietly become the difference between a five minute blip and a headline. In the week of July 20 to 26, 2026, ThousandEyes tracked 610 global network outage events, up 4 percent from the 587 the week before, with United States outages rising 10 percent to 457 (Network World).

We’ve previously written about how deeply embedded data is in people’s day-to-day work at incident.io, and I’d have it no other way — demand for data is undoubtedly a good thing. What risks breaking at scale, however, is everything downstream of that demand: data-team capacity gets stretched thin, dashboard sprawl outpaces anyone's ability to maintain it, and stakeholders can't reach an answer without going through the data team.