"The same research found that as AI usage increases, delivery stability tends to decrease. Code ships faster than governance can follow, leading to a widening understanding gap."
"On June 12, 2025, a single policy change inside Google Cloud triggered a global outage lasting more than three hours, affecting numerous services and businesses worldwide."
"Google's postmortem was blunt: 'The issue with this change was that it did not have appropriate error handling, nor was it feature flag-protected.'"
"Five months later, Cloudflare suffered over five hours of downtime from a routine back-end change shipped without runtime checks, highlighting the risks of rapid deployment."
The 2025 DORA State of DevOps report indicates that 75% of developers use AI coding tools daily, with projections of over 80% by 2026. However, increased AI usage correlates with decreased delivery stability, as rapid code generation outpaces governance. This creates a control gap, where the speed of code deployment exceeds teams' understanding of its implications. Two incidents in 2025, involving Google Cloud and Cloudflare, exemplify the risks of inadequate error handling and lack of feature flag protection, leading to significant outages.
Read at DevOps.com
Unable to calculate read time
Collection
[
|
...
]