Google Cloud's VMware service loses resilience due to a dud update ⁠43%

7/14/2026, 7:16:21 PM

BS Summary: This article contains 23 faulty reasoning types, including Framing Effect, Ambiguity (Equivocation), and Unattributed Quote, with Quote-first Misdirection as the most egregious example at 30% saturation with 127 hits. Analysis detected 1,075 faulty-reasoning hits from 424 analyzed words, generating a BS Score of 46.4% and a BS Rank of ⁠43% (12,633 of 21,887 articles). This article is better (less manipulative) than 57.70% of the article peer group.

Google Cloud has admitted it made a configuration change that means some customers of its VMware Engine (GCVE) can’t use stretched cluster. 
A G-Cloud incident report time-stamped 13:24 PDT on July 14 (21:24 UTC) reports some customers “are experiencing zonal outages impacting network connectivity across multiple regions” and that the trouble started at 10:00 PDT. 
Google first attributed the problem to “an underlying network connectivity issue affecting the infrastructure that links the zones within a stretch cluster,” and warned “This disruption is causing synchronization issues between the affected zones.” 
Storage and compute services weren’t impacted, and VMs kept running. 
Users just couldn’t reach their virtual servers. 
That’s bad because the whole point of stretched clusters is to enhance resilience by creating a virtual pool of resources that spans two physical sites, while keeping the two rigs in synch to enable rapid failover without disruption. 
Google’s next update offered “underlying inter-zone communication failures and Border Gateway Protocol (BGP) session flapping between cluster zones” as the reason for the mess, adding “Specifically, network connectivity has been lost between the affected zones and the witness appliance. 
Because the witness appliance is currently unreachable, the cluster zones are unable to safely synchronize state.” 
At 16:05 PDT Google ‘fessed up. 
“Our investigation has identified a recent configuration update that is the likely cause of the inter-zone network disruption,” the web giant admitted. 
“Teams are working on remediation.” 
Google hasn’t said when it will set things right, so customers in the impacted regions – australia-southeast1, australia-southeast2, europe-west3, and northamerica-northeast2 – must wait to learn when they’ll once again enjoy the resilience they pay for. 
Other VMware customers may not want to wait because the Broadcom business unit on Tuesday warned of seven flaws in its VMware Avi Load Balancer. 
One of them, CVE-2026-47865, is an authentication bypass vulnerability that earned a CVSS score of 9.8. 
The product’s name is a little misleading, as it’s actually a full Application Delivery Controller that includes load balancing and a Web Application Firewall VMware hasn’t said much about the flaw other than warning “A malicious user with network access may be able to access the Avi Control plane by bypassing the authentication mechanism.” 
The tool works with VMware’s Cloud Foundation bundle, Kubernetes Service, and can connect resources in public clouds. 
Unauthorized access is therefore distinctly undesirable. 
The five remaining CVEs are also significant, with CVSS ratings ranging from 8.8 to 7.1. 
Broadcom has fixed the flaws in recent updates to the product. 
® 
Article reasoning-pattern comparisonThis article: 8.0%The Register: 3.3%Confirmation Bias8.0%This article: 9.2%The Register: 1.0%Anchoring Bias9.2%This article: 17.2%The Register: 3.2%Availability Heuristic17.2%This article: 3.8%The Register: 1.1%Representativeness Heuristic3.8%This article: 0.0%The Register: 1.3%Hindsight Bias0.0%This article: 5.2%The Register: 2.3%Overconfidence Bias5.2%This article: 24.3%The Register: 5.0%Framing Effect24.3%This article: 17.5%The Register: 0.7%Loss Aversion17.5%This article: 5.2%The Register: 0.8%Status Quo Bias5.2%This article: 0.0%The Register: 0.2%Sunk Cost Effect0.0%This article: 3.8%The Register: 3.0%Optimism Bias3.8%This article: 12.5%The Register: 2.6%Pessimism Bias12.5%This article: 19.8%The Register: 8.2%Negativity Bias19.8%This article: 0.0%The Register: 1.9%Self-Serving Bias0.0%This article: 0.0%The Register: 0.8%Fundamental Attribution Error0.0%This article: 0.0%The Register: 0.1%Actor-Observer Bias0.0%This article: 0.0%The Register: 0.4%In-Group Bias0.0%This article: 0.0%The Register: 0.4%Out-Group Homogeneity Bias0.0%This article: 0.0%The Register: 1.4%Halo Effect0.0%This article: 0.0%The Register: 0.1%Horn Effect0.0%This article: 0.0%The Register: 0.0%Dunning-Kruger Effect0.0%This article: 5.9%The Register: 1.9%Recency Bias5.9%This article: 0.0%The Register: 0.3%Primacy Effect0.0%This article: 0.0%The Register: 0.1%Blind-Spot Bias0.0%This article: 0.0%The Register: 0.7%Ad Hominem0.0%This article: 0.0%The Register: 0.2%Straw Man0.0%This article: 0.0%The Register: 4.2%Appeal to Authority0.0%This article: 8.5%The Register: 1.7%False Dilemma8.5%This article: 0.0%The Register: 1.2%Slippery Slope0.0%This article: 0.0%The Register: 0.1%Circular Reasoning0.0%This article: 3.5%The Register: 6.2%Hasty Generalization3.5%This article: 5.9%The Register: 0.3%Red Herring5.9%This article: 0.0%The Register: 0.7%Bandwagon0.0%This article: 1.4%The Register: 3.0%Appeal to Emotion1.4%This article: 9.0%The Register: 0.9%Begging the Question9.0%This article: 0.0%The Register: 2.0%Post Hoc (False Cause)0.0%This article: 0.0%The Register: 0.2%Tu Quoque0.0%This article: 1.2%The Register: 0.7%Burden of Proof1.2%This article: 0.0%The Register: 0.2%Appeal to Nature0.0%This article: 0.0%The Register: 0.3%Composition/Division0.0%This article: 7.8%The Register: 2.2%Anecdotal7.8%This article: 0.0%The Register: 0.0%No True Scotsman0.0%This article: 21.9%The Register: 2.1%Ambiguity (Equivocation)21.9%This article: 0.0%The Register: 0.0%Gambler’s Fallacy0.0%This article: 0.0%The Register: 0.1%Middle Ground0.0%This article: 0.0%The Register: 0.1%Personal Incredulity0.0%This article: 0.0%The Register: 0.2%Special Pleading0.0%This article: 0.0%The Register: 0.2%Genetic Fallacy0.0%This article: 20.5%The Register: 2.3%Unattributed Quote20.5%This article: 30.0%The Register: 1.3%Quote-first Misdirection30.0%This article: 11.6%The Register: 7.3%Biased Writer Voice11.6%This article: 0.0%The Register: 1.5%Indoctrination0.0%This article: 0.0%The Register: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%The Register: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%The Register: 2.5%Attempt to Sell a Product or S…0.0%

424 words analyzed.

Speakers

3speakers41%attributed speech250writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 11 words • 100.0% coverageGoogle Cloud • 22 words • 0.0% coverageWriter's voice • 33 words • 100.0% coverageGoogle • 34 words • 100.0% coverageWriter's voice • 10 words • 0.0% coverageWriter's voice • 7 words • 100.0% coverageWriter's voice • 38 words • 0.0% coverageGoogle • 39 words • 100.0% coverageGoogle • 16 words • 0.0% coverageWriter's voice • 6 words • 100.0% coverageGoogle • 22 words • 0.0% coverageGoogle • 5 words • 0.0% coverageWriter's voice • 36 words • 0.0% coverageBroadcom • 25 words • 100.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 54 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 15 words • 0.0% coverageBroadcom • 11 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverage
Selected voice

Broadcom

100%flagged-word coverage
36 attributed words21% of attributed speech93% writer coverage
0%35.0%70.0%Biased Writer Voice+59.8 ptsWriter: 9.6%Broadcom: 69.4%69.4%Unattributed Quote-34.8 ptsWriter: 34.8%Broadcom: 0.0%0.0%Quote-first Misdirection-21.6 ptsWriter: 21.6%Broadcom: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.