Google Cloud Outage Map
The map below depicts the most recent cities worldwide where Google Cloud users have reported problems and outages. If you are having an issue with Google Cloud, make sure to submit a report below
The heatmap above shows where the most recent user-submitted and social media reports are geographically clustered. The density of these reports is depicted by the color scale as shown below.
Google Cloud users affected:
Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search and YouTube.
Most Affected Locations
Outage reports and issues in the past 15 days originated from:
| Location | Reports |
|---|---|
| Mexico City, CDMX | 1 |
| Chhindwāra, MP | 1 |
| Los Angeles, CA | 1 |
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Community Discussion
Tips? Frustrations? Share them here. Useful comments include a description of the problem, city and postal code.
Beware of "support numbers" or "recovery" accounts that might be posted below. Make sure to report and downvote those comments. Avoid posting your personal information.
Google Cloud Issues Reports
Latest outage, problems and issue reports in social media:
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KleurigDrieluik (@KleurigD) reported@GooglePlayBiz he Google play, why is Developer Support ignoring support questions with detailed technical analysis from @googlecloud Gemini and @Firebase support?
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Brad Gessler (@bradgessler) reportedA big reason is because you can’t sign up for half of the hyperscalers. Today I tried to open an @Azure account today & the anti-bot mechanism was broken. I then tried @googlecloud & adding an address to billing was broken. They just don’t care anymore. 🤷
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Jeffrey Bunn (@jeffreybunn) reportedAsk: our @googlecloud project was charged ~$1.3k after ~5.6K unauthorized calls in a few hours to Gemini image models we don’t use. Support credited ~$660, but we’re still stuck with the rest. Looks like legacy API access may have been abused. Anyone at GCP able to review?
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luba luft (@luba_loop) reportedbeen migrating my company onto a new @googlecloud GCP Org this week and it's a terrible experience. Been blocked since Monday due to quota limits and it is IMPOSSIBLE to get in touch with a human about it. I am trying to give you tens of thousands of dollars, help me do it!!!!!!!
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Mariz (@MarizMelo) reported@googlecloud forcing users into prepaid sucks. Maybe time to look for alternatives to host your #AI product :/
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Sam Mathews (@sammathews) reported@CATXALOTE_ @googlecloud Tooling, data, analysis and eventually revenue to help fund esports investment
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Jeremy Mcnabb (@Jeremy_AI_) reported@nvidia @IneffableLabs @googlecloud Yeah “How do you escape the room of 1000 fools?” Shirley knows Surely by now … or just another fool beggar all alike. (Don’t enter the room of 1000 fools if hoping to escape it… clearly you were foolish enough to byte down and buy in a suspect at your own weights out of it?)
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DWE Post (@dwepost) reported@googlecloud check my dm please help me to get back my account was stolen @Google
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Aaron Hilton (@otri) reported@googlecloud It's worrisome that base level support for the platform is a $29/mo fee. Requiring the use of back-channels like X.
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abzal gylymbai (@abzalgylymbai) reported@googlecloud @mirendil @nvidia Recurring unexplained charges (~$83, repeating) on my Google Cloud Billing account despite no active projects showing in Console. Already paid multiple times, keeps reappearing. No response from support for days. Billing ID: 01B3C0-1899D2-F0DA8D.
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Jakob (@jakob_btc) reportedThe privacy paradox of the AI era is that utility requires intimacy. To make an AI agent genuinely useful, you have to give it access to proprietary context: internal knowledge, emails, code, workflows. Generic data does not get you very far. So what happens to privacy when hiding the data is no longer realistic? My view is that the privacy stack is shifting from data redaction to verifiable processing. Three major shifts happening right now: 1. Confidential AI at Scale: We’re moving past relying on corporate promises. @googlecloud recently rolled out Confidential G4 VMs with NVIDIA Blackwell GPUs. The tech is mainstreaming. With hardware-based Trusted Execution Environments, your knowledge base is encrypted in memory while the model processes it. Even the cloud provider can’t peek 2. End-to-End Prompt Encryption: Infinite AI memory is a privacy nightmare. The next wave of tools will use localized, cryptographic session gates. Google again recently open-sourced Prompt Encryption SDKs to tackle this problem, establishing a secure channel that keeps data encrypted from the client all the way until it hits the secure chip, before the session vanishes 3. Local Middleware & Edge SLMs: Instead of sending everything blindly to centralized frontier models, enterprises are routing data through local semantic firewalls The bottom line: You will feed AI everything it needs to know, but the tech stack will make sure the vendor never actually "learns" or retains a single byte of it.
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hexmint ✌️ (@hexmint) reportedGoogle AI/GCP payments and setting up projects is so confusing. @googlecloud get your **** right.
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NetriXD (@NetrixdO) reported@sammathews @googlecloud ah yes so instead of doing productive things like kicking out entire management plus dardo razork and upset that u so eagerly defend, u do AI bullshit. Great job Sam, i ******* know the org buying fnatic will be 100x better then whatever this **** is. Incompetent CEO as usual.
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Boomer Socialist ☭ 🍉#AntiWar (@SouthernGal918) reported@Humana @googlehealth @googlecloud Can't login to your website. Not sending verification code.
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Adel Bucetta (@adelbucetta) reported@googlecloud nokia's move isn't just about automating their network, it's about creating a whole new layer of abstraction for telecom infrastructure. now imagine if this tech trickled down to edge cases like rural networks or even smart cities
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