Why Did Google Cloud Crash and What It Means for Multi‑Cloud Strategies

June 12, 2025, 02:37 AM (North American West Coast) – the monitoring dashboard turned blood‑red as Google Cloud’s health curve plunged to zero, triggering a 181‑minute “Chernobyl moment” that also impacted AWS and Azure services worldwide.

DownDetector recorded epic numbers:

Google Cloud – peak alerts: 13,258, East‑coast data‑center outage rate 89%

AWS – abnormal spikes: 4,729, API latency in Europe exceeded 8,000 ms

Microsoft Azure – sudden errors: 3,415, Southeast Asia CDN nodes lost connectivity

Why did Google fall while AWS and Azure also stumbled?

When observers joked that “the three clouds are Russian nesting dolls,” engineers were sweating, realizing that the touted “multi‑cloud strategy” had become a Trojan horse for the digital economy.

Devil’s logical chain

Fault origin : a harmless code update at the end of May introduced a

NullPointerException

bomb.

Timed trigger : quota adjustment on June 6 caused an uncaught exception, leading to an avalanche crash of primary‑backup clusters in the Americas.

Disaster spillover : enterprises using multi‑cloud switched traffic, overloading AWS API gateways in East Asia, causing Azure European containers to OOM, and exposing cross‑dependency failures among cloud providers.

It wasn’t a natural disaster, but a human error!

Google’s internal incident report shows the catastrophic NullPointerException stemmed from a developer’s missed null‑check, which went unnoticed during gray‑scale testing, was marked as a low‑risk change, and lacked representation in chaos‑engineering playbooks.

Exception never triggered in gray‑scale testing.

Code review labeled it “low‑risk”.

Chaos‑engineering scenario library omitted this failure mode.

This was a preventable human mistake, not an act of nature.